Philosophy of Neuroscience, Misc

In this paper, I offer a new account of mind/body interaction that shows how it is possible for an immaterial mind or soul to influence a physical system without entering the horizontal system of efficient causes studied by natural science.

Este artículo formula un marco teórico-clínico basado en la neurociencia no lineal y la teoría enactiva de la cognición, cuyas implicaciones clínicas se desarrollan desde la filosofía clínica neuroafirmativa, orientado a interpretar el autismo como una trayectoria legítima de organización neurodinámica. Los modelos lineales centrados en la adaptación funcional, la causalidad unidireccional y la cuantificación del déficit operan como mecanismos de violencia epistémica al negar la complejidad autoorganizada del sistema nervioso. En contraste, este enfoque caracteriza el autismo por patrones específicos (...) de sincronización, criticidad y reorganización dinámica, cuya coherencia no puede evaluarse desde parámetros normativos. Expresiones comúnmente clasificadas como síntomas — como la búsqueda de regularidad, la hipersensibilidad o el burnout— son analizadas como estrategias de viabilidad encarnada frente a entornos desestabilizantes. La clínica resultante no aplica criterios de corrección, sino que analiza bajo qué condiciones se conserva la continuidad operativa del sistema sin colapso organizativo. Esta orientación exige una reconfiguración epistemológica que desplaza la evaluación clínica hacia la comprensión situada de las trayectorias neurodinámicas. (shrink)

Today research on prosocial behaviour is very much shaped by the success of social neuroscience. However, some philosopher's criticise neuroscience as reductionist. The purpose of this paper is to analyse this critique. With a philosophical background in Charles Taylor's hermeneutic thesis "man as a self-interpreting animal", the paper shows that neuroscientists' attempt to describe prosocial behaviour in science through brain imaging technologies (MRI) constitute a neurochemical self that resonates a modern ‘paradigm of clarity and objectivity’ as presented by Taylor. It (...) is argued that this scientific explanation model challenges Taylor's hermeneutic self. Where human behaviour previous was mapped on a psychological level, prosocial behaviour is described in the body - the human brain - on a neurophysiological level. The author applies an autism analogy metaphor, which paradoxical shows that the neurochemical self’s emphasis on structures and observations epistemological facilitate an autistic understanding of prosocial behaviour alien to the situated and interpreted feelings of Taylor's self-understanding(s), and the logic of our everyday language. (shrink)

The traditional approach to explanation in cognitive neuroscience is realist about psychological constructs, and treats them as explanatory. On the “standard framework,” cognitive neuroscientists explain behavior as the result of the instantiation of psychological functions in brain activity. This strategy is questioned by results suggesting the distribution of function in the brain, the multifunctionality of individual parts of the brain, and the overlap in neural realization of purportedly distinct psychological constructs. One response to this in the field has been to (...) employ the tools of databasing and machine learning to attempt to find and quantify specific correlations between psychological kinds such as ‘memory’ or ‘attention’ (or sub-kinds thereof) and patterns of activity in the brain. I assess the status and prospects of these projects. I argue that current proponents of the project are vague about their aims, vis-à-vis the standard framework, sometimes suggesting substantiation of the framework, sometimes suggesting retaining the framework but revising the ontology of mental constructs, and sometimes suggesting abandonment of the framework. I argue that extant results from within the projects fail to substantiate the standard framework, and propose an alternative. On my view, psychological constructs should not be viewed as explanantia, but instead as heuristic concepts that help us uncover ways that behaviors can vary and the ways that the brain implements those distinctions. I then discuss the normative upshot of these views for databasing and brain mapping projects. (shrink)

The Higher-Order Theory (HOT) of consciousness holds that mental states become conscious when they are represented by another mental state. Most HOT theorists maintain that it is the higher-order, rather than the lower-order, state that supplies the content of conscious experience. This view entails that, for a state to become conscious, its content must be represented in the brain regions that produce higher-order states, which are widely thought to be in the Prefrontal Cortex (PFC). This article argues that this creates (...) a challenge for HOT: current neuroimaging evidence and functional considerations suggest that, if PFC activity is constitutive of consciousness, it enables the consciousness of content represented in visual areas rather than supplying the content itself. The conclusion will be that HOT research should focus more on developing the version in which the first-order state supplies the content of visual experience. (shrink)

How should scientists carve up cognition to generate good predictions, explanations, and models of cognition? This chapter argues that cognitive categories should be constructed the same way that biological categories are: in terms of homology. The chapter adapts a developmental account of trait identity from evolutionary-developmental biology to make sense of the notion of “cognitive homology.” The consequence is that both brain structures and the organism’s ongoing interactions with the environment are crucial for individuating cognitive homologies, and thus for cognitive (...) ontology. (shrink)

Predictive processing is an ambitious neurocomputational framework, offering an unified explanation of all cognitive processes in terms of a single computational operation, namely prediction error minimization. Whilst this ambitious unificatory claim has been thoroughly analyzed, less attention has been paid to what predictive processing entails for structure–function mappings in cognitive neuroscience. We argue that, taken at face value, predictive processing entails an all-to-one structure–function mapping, wherein each individual neural structure is assigned the same function, namely minimizing prediction error. Such a (...) structure–function mapping, we show, is highly problematic. For, barring few, rare occasions, such a structure–function mapping fails to play the predictive, explanatory and heuristic roles structure–function mappings are expected to play in cognitive neuroscience. Worse still, it offers a picture of the brain that we know is wrong. For, it depicts the brain as an equipotential organ; an organ wherein structural differences do not correspond to any appreciable functional difference, and wherein each component can substitute for any other component without causing any loss or degradation of functionality. Somewhat ironically, the very neuroscientific roots of predictive processing motivate a form of skepticism concerning the framework’s most ambitious unificatory claims. Do these problems force us to abandon predictive processing? Not necessarily. For, once the assumption that all cognition can be accounted for exclusively in terms of prediction error minimization is relaxed, the problems we diagnosed lose their bite. (shrink)

Depression is vastly heterogeneous in its symptoms, neuroimaging data, and treatment responses. As such, describing how it develops at the network level has been notoriously difficult. In an attempt to overcome this issue, a theoretical “negative prediction mechanism” is proposed. Here, eight key brain regions are connected in a transient, state-dependent, core network of pathological communication that could facilitate the development of depressive cognition. In the context of predictive processing, it is suggested that this mechanism is activated as a response (...) to negative/adverse stimuli in the external and/or internal environment that exceed a vulnerable individual’s capacity for cognitive appraisal. Specifically, repeated activation across this network is proposed to update an individual’s brain so that it increasingly predicts and reinforces negative experiences over time—pushing an individual at-risk for or suffering from depression deeper into mental illness. Within this, the negative prediction mechanism is poised to explain various aspects of prognostic outcome, describing how depression might ebb and flow over multiple timescales in a dynamically changing, complex environment. (shrink)

Recently, a version of realism has been offered to address the simplification strategies used in computational neuroscience. According to this view, computational models provide us with knowledge about the brain, but they should not be taken literally in _any_ sense, even rejecting the idea that the brain performs computations (computationalism). I acknowledge the need for considerations regarding simplification strategies in neuroscience and how they contribute to our interpretations of computational models; however, I argue that whether we should accept or reject (...) computationalism about the brain is a separate issue that can be addressed independently by a philosophical theory of physical computation. This takes seriously the idea that the brain performs computations while also taking an analogical stance toward computational models in neuroscience. I call this version of realism “Analogical Computational Realism.” Analogical Computational Realism is a realist view in virtue of being committed to computationalism while taking certain computational models to pick out real patterns that provide a how-possibly explanation without also thinking that the model is literally implemented in the brain. (shrink)

The recent resurgence of the language of thought (LOT) hypothesis has drawn much attention. The history of philosophy and cognitive science has provided us with various versions of LOT. From Sellars to Fodor, theorists have offered us considerations on the vehicles, content, and functions of such a representation format. However, it’s been more than 50 years since Fodor’s publication on LOT (1975), and the resurgence suggests that we need a modern iteration of LOT to fit with recent developments in the (...) study on cognition. Therefore, in this paper, I argue that we need a middle ground between Fodor and Sellars’s views on LOT – specifically, we should abandon Fodor’s view on the vehicle and content of LOT, and we should also acknowledge that perception might involve LOT (contrary to what Sellars thought). What we should focus on is LOT representations’ format’s function, that at least some neural processes are analogous to linguistic structures, and how such a function is able to facilitate a modern situational view of cognitive representation. Having this account of LOT, we can make it a more versatile tool fitting with the other cognitive frameworks, such as the free energy principle and Bayesian inference. (shrink)

This paper examines two prominent frameworks in moral psychology that aim to explain the foundations of moral judgments: the Universal Moral Grammar (UMG) and the Emotional Moral Sentimentalist (EMS) frameworks. UMG theorists propose that moral judgments are guided by innate, unconscious principles analogous to linguistic grammar, whereas EMS advocates emphasize the role of automatic emotional responses, such as anger or guilt, in shaping moral decisions. By reviewing recent neuroscientific evidence, this paper evaluates the strengths and limitations of each approach and (...) argues that neither framework is fully substantiated by current empirical findings. Instead, it advocates for an integrative perspective that treats UMG principles and emotional processes as complementary, hypothetical models for understanding moral cognition. This approach offers a pathway for more comprehensive investigations into the neural mechanisms underlying moral judgments, addressing the limitations of the ongoing UMG-EMS debate. (shrink)

Fourteen years after the special issue on neuroscience and rhetoric in this journal (Neurorhetorics, vol. 40, no. 5), we turn back and look forward. We assess what has been accomplished in neurorhetorics in that time frame, examine what has changed in rhetorical studies and in the neurosciences, and offer suggestions for future research. Eight contributors detail the importance of neurorhetorics for their work and engage a range of topics. Those include neurodiversity, neuropolicy, neurogastronomy, and interdisciplinary collaborations, among others. Ultimately, the (...) forum points toward the need for more critical cultural approaches in neurorhetorics, more policy discussions, new methodologies, and new philosophies that can stretch beyond the “neuro-” prefix and enroll insights from New Materialisms and Global Rhetorics. (shrink)

In the last decade alone, a growing body of preliminary evidence suggests that classic psychedelics (CPs) can rapidly and durably ameliorate symptoms and cognitive deficits associated with depression. However, the mechanisms by which CPs work in the brain are not well understood. Rodent translational research, in which experimental findings from rodents are translated to humans, is fundamental in achieving this goal. This chapter focuses on a representative subset of human and rodent studies investigating CPs for depression, including the various lines (...) of research that have been initiated to understand how they work. Our aim is to show that in addition to epistemic challenges that scientists face in translating findings from rodents to humans, there is also mismatch between experimental approaches used to investigate CPs in humans and rodents. We thus show current experimental practices are not conducive to mechanistic discovery. We end with a set of positive proposals to expedite the drive to translate CPs into effective treatments for depression. -/- Keywords: classic psychedelics, psychiatry, clinical trials, collaboration, extrapolation, major depressive disorder, open science, philosophy of science, rodent models, scientific practice, translation, validity . (shrink)

Early in _Movements of the Mind_, Wayne Wu puts forth a foundational picture of action. On this picture, intentional action is necessarily a solution to a selection problem, a problem of choice among multiple causally possible alternatives. Forming an intention solves one selection problem; acting on that intention requires solving yet further selection problems about how to execute that intention. There are two serious issues with this picture of action. First: some intentional actions are causally necessitated. They can't be solutions (...) to selection problems. Wu's argument for this claim, which contrasts reflex with action, does not succeed in showing that action must solve a selection problem — nor that reflex does not solve such a problem. Second: the requirement to solve further selection problems while acting on an intention leads to a vicious regress that threatens the possibility of action in general. If these two issues are addressed, Wu's groundbreaking scientific approach to mental action might offer us a powerful new theory of ongoing causal control over intentional action. (shrink)

Some patients, following brain injury, do not outwardly respond to spoken commands, yet show patterns of brain activity that indicate responsiveness. This is 'cognitive-motor dissociation' (CMD). Recent research has used machine learning to diagnose CMD from electroencephalogram recordings. These techniques have high false discovery rates, raising a serious problem of inductive risk. It is no solution to communicate the false discovery rates directly to the patient's family, because this information may confuse, alarm and mislead. Instead, we need a procedure for (...) generating case-specific probabilistic assessments that can be communicated clearly. This article constructs a possible procedure with three key elements: (1) A shift from categorical 'responding or not' assessments to degrees of evidence; (2) The use of patient-centred priors to convert degrees of evidence to probabilistic assessments; and (3) The use of standardised probability yardsticks to convey those assessments as clearly as possible. (shrink)

In The Entangled Brain, Pessoa criticizes standard approaches in cognitive neuroscience in which the brain is seen as a functionally decomposable, modular system with causal operations built up hierarchically. Instead, he advocates for an emergentist perspective whereby dynamic brain networks are associated, not with traditional psychological categories, but with behavioral functions characterized in evolutionary terms. Here, we raise a number of concerns with such a radical approach. We ultimately believe that while much revision to cognitive neuroscience is welcome and needed, (...) Pessoa’s more radical proposals may be counterproductive. (shrink)

The relationship between topological explanation and mechanistic explanation is unclear. Most philosophers agree that at least some topological explanations are mechanistic explanations. The crucial question is how to make sense of this claim. Zednik (Philos Psychol 32(1):23–51, 2019) argues that topological explanations are mechanistic if they (i) describe mechanism sketches that (ii) pick out organizational properties of mechanisms. While we agree with Zednik’s conclusion, we critically discuss Zednik’s account and show that it fails as a general account of how and (...) when topological explanations are mechanistic. First, if topological explanations were just mechanism sketches, this implies that they could be enriched by replacing topological terms with mechanistic detail. This, however, conflicts how topological explanations are used in scientific practice. Second, Zednik’s account fails to show how topological properties can be organizational properties of mechanisms that have a place in mechanistic explanation. The core issue is that Zednik’s account ignores that topological properties often are _global_ properties while mechanistic explanantia refer to _local_ properties. We demonstrate how these problems can be solved by a recent account of mechanistic completeness (Craver and Kaplan in Br J Philos Sci 71(1):287–319, 2020; Kohár and Krickel in Calzavarini and Viola (eds) Neural mechanisms—new challenges in the philosophy of neuroscience, Springer, New York, 2021) and use a multilayer network model of Alzheimer’s Disease to illustrate this. (shrink)

This article investigates the challenges posed by the reliability of knowledge in neurophenomenology and its connection to reality. Neurophenomenological research seeks to understand the intricate relationship between human consciousness, cognition, and the underlying neural processes. However, the subjective nature of conscious experiences presents unique epistemic challenges in determining the reliability of the knowledge generated in this research. Personal factors such as beliefs, emotions, and cultural backgrounds influence subjective experiences, which vary from individual to individual. On the other hand, scientific knowledge (...) aims to uncover universal truths based on empirical observations and objective principles. Reconciling the subjective and objective realms presents a significant challenge in determining the reliability of knowledge generated through neurophenomenological research. This article aims to examine the inherent limitations and challenges of neurophenomenological research to shed light on the complexities involved in understanding the nature of knowledge itself. This article highlights that the ontological implications of the reliability of knowledge in neurophenomenology arise from the question of how subjective experiences relate to objective reality. Understanding the neural correlates and mechanisms behind subjective experiences can provide insight into the underlying ontological nature of consciousness. (shrink)

In a recent paper, Gualtiero Piccinini and Carl Craver have argued that psychology is not distinct from neuroscience. Many have argued that Piccinini and Craver’s argument is unsuccessful. However, none of these authors have questioned the appropriateness of Piccinini and Craver’s argument for their key premise—that functional analyses are mechanism sketches. My first and main goal in this paper is to show that Piccinini and Craver offer normative considerations in support of what is a descriptive premise and to provide some (...) guidelines on how to argue for this premise. My second goal is to show that the distinctness question should be of great significance for philosophy of cognitive science. (shrink)

This chapter provides a brief overview of the history of behavioral neurology, dividing it roughly into six eras. In the ancient and classical eras, emphasis is placed on two transitions: firstly, from descriptions of head trauma and attempted neurosurgical treatments to the exploratory dissections during the Hellenistic period and the replacement of cardiocentrism; and secondly, to the more systematic investigations of Galenus and the rise of pneumatic ventricular theory. In the medieval through post-Renaissance eras, the scholastic consolidation of knowledge and (...) the role of compendia are emphasized, along with the use of new methods from within a mechanistic framework. With the discovery of electrical conductance and the rise of experimentalism, we frame the modern era as period of intense debate over localization, decomposition, and other mechanistic principles, and marked by rapid discovery about the brain. The chapter ends with a discussion of the contemporary era, focusing on the establishment of behavioral neurology research on aphasia, apraxia, and neuropsychiatric conditions. (shrink)

Despite the huge and constant progress in the molecular and cellular neuroscience fields, our capability to understand brain alterations and treat mental illness is still limited. Therefore, a paradigm shift able to overcome such limitation is warranted. Behavior and the associated mental states are the interface between the central nervous system and the living environment. Since, in any system, the interface is a key regulator of system organization, behavior is proposed here as a unique and privileged level of control and (...) orchestration of brain structure and activity. This view has relevant scientific and clinical implications. First, the study of behavior represents a singular starting point for the investigation of neural activity in an integrated and comprehensive fashion. Second, behavioral changes, accomplished through psychotherapy or environmental interventions, are expected to have the highest impact to specifically reorganize the complexity of the human mind and thus achieve a solid and long-lasting improvement in mental health. (shrink)

Empathy is many things to many people. Depending on who you ask, it is feeling what another person feels, feeling bad for another person’s suffering, understanding what another person feels, imagining yourself in another person’s situation and figuring out what you would feel, or your brain activating as if you were experiencing the emotion another person is experiencing. These are just some of the various notions of empathy that are at play in philosophy, cognitive science, neuroscience, developmental psychology, and primatology. (...) In this chapter, we will not stipulate a definition of empathy per se. Instead, we will review the development of empathy and purported mechanisms of empathy, which will allow us to tease apart various dimensions of empathy related concepts. Understanding the various dimensions of empathy provides context for some recent critiques of empathy as a moral compass and suggests several directions for future fruitful scientific and philosophical work on empathy. (shrink)

In the quest to discover the neural bases of cognition, rigorous behavioral tools are equally as important as sophisticated tools for neural intervention. This paper evaluates several episodes in the development of a novel behavioral tool for rodent cognitive testing, the rodent touchscreen operant chamber. Using conceptual tools on offer in the philosophical literature on exploratory experimentation and control, I illuminate how optimization of this behavioral tool and an understanding of the causal knowledge it may be used to generate historically (...) has involved dynamic interplay between community-driven exploratory practices operating in parallel with causal hypothesis-driven research. (shrink)

The extended mind thesis claims that a subject’s mind sometimes encompasses the environmental props the subject interacts with while solving cognitive tasks. Recently, the debate over the extended mind has been focused on Markov Blankets: the statistical boundaries separating biological systems from the environment. Here, I argue such a focus is mistaken, because Markov Blankets neither adjudicate, nor help us adjudicate, whether the extended mind thesis is true. To do so, I briefly introduce Markov Blankets and the free energy principle (...) in Section 2. I then turn from exposition to criticism. In Section 3, I argue that using Markov Blankets to determine whether the mind extends will provide us with an answer based on circular reasoning. In Section 4, I consider whether Markov Blankets help us track the boundaries of the mind, answering in the negative. This is because resorting to Markov Blankets to track the boundaries of the mind yields extensionally inadequate conclusions which violate the parity principle. In Section 5, I further argue that Markov Blankets led us to sidestep the debate over the extended mind, as they make internalism about the mind vacuously true. A brief concluding paragraph follows. (shrink)

Proponents of ontic conceptions of explanation require all explanations to be backed by causal, constitutive, or similar relations. Among their justifications is that only ontic conceptions can do justice to the ‘directionality’ of explanation, i.e., the requirement that if X explains Y , then not-Y does not explain not-X . Using topological explanations as an illustration, we argue that non-ontic conceptions of explanation have ample resources for securing the directionality of explanations. The different ways in which neuroscientists rely on multiplexes (...) involving both functional and anatomical connectivity in their topological explanations vividly illustrate why ontic considerations are frequently (if not always) irrelevant to explanatory directionality. Therefore, directionality poses no problem to non-ontic conceptions of explanation. (shrink)

Brief review of Mark Solms' "The Hidden Spring: A Journey to the Source of Consciousness".

This essay presents the conditional probability of co-contribution account of the individuation of cognitive systems (CPC) and argues that CPC provides an attractive basis for a theory of the cognitive self. The argument proceeds in a largely indirect way, by emphasizing empirical challenges faced by an approach that relies entirely on predictive processing (PP) mechanisms to ground a theory of the cognitive self. Given the challenges faced by PP-based approaches, we should prefer a theory of the cognitive self of the (...) sort CPC offers, one that accommodates variety in the kinds of mechanism that, when integrated, constitute a cognitive system (and thus the cognitive self), to a theory according to which the cognitive self is composed of essentially one kind of thing, for instance, prediction-error minimization mechanisms. The final section focuses on one of the central functions of the cognitive self: to engage in conscious reasoning. It is argued that the phenomenon of conscious, deliberate reasoning poses an apparently insoluble problem for a PP-based view, one that seems to rest on a structural limitation of predictive-processing models. In a nutshell, conscious reasoning is a single-stream phenomenon, but, in order for PP to apply, two streams of activity must be involved, a prediction stream and an input stream. Thus, with regard to the question of the nature of the self, PP-based views must yield to an alternative approach, regardless of whether proponents of the predictive processing, as a comprehensive theory of cognition, can handle the various empirical challenges canvassed in the preceding section. (shrink)

Panpsychism has many sides in common with Jung and Pauli's thinking, and analytical psychology is also a form of panpsychism. In this article we want to lay the foundations for a psychophysics that has an adequate onto-epistemology for the complex phenomenology of the relationship between quantum physics and consciousness. This onto-epistemology is a monism in which an informational-spiritual atemporal dimension, completely entangled in itself and teleologically anthropic, precedes and “informs” instantaneously and constantly matter-energy, space-time and consciousness.

Many neurodegenerative and neuropsychiatric diseases and other brain disorders are accompanied by impairments in high-level cognitive functions including memory, attention, motivation, and decision-making. Despite several decades of extensive research, neuroscience is little closer to discovering new treatments. Key impediments include the absence of validated and robust cognitive assessment tools for facilitating translation from animal models to humans. In this review, we describe a state-of-the-art platform poised to overcome these impediments and improve the success of translational research, the Mouse Translational Research (...) Accelerator Platform (MouseTRAP), which is centered on the touchscreen cognitive testing system for rodents. It integrates touchscreen-based tests of high-level cognitive assessment with state-of-the art neurotechnology to record and manipulate molecular and circuit level activity in vivo in animal models during human-relevant cognitive performance. The platform also is integrated with two Open Science platforms designed to facilitate knowledge and data-sharing practices within the rodent touchscreen community, touchscreencognition and mousebytes. Touchscreencognition includes the Wall, showcasing touchscreen news and publications, the Forum, for community discussion, and Training, which includes courses, videos, SOPs, and symposia. To get started, interested researchers simply create user accounts. We describe the origins of the touchscreen testing system, the novel lines of research it has facilitated, and its increasingly widespread use in translational research, which is attributable in part to knowledge-sharing efforts over the past decade. We then identify the unique features of MouseTRAP that stand to potentially revolutionize translational research, and describe new initiatives to partner with similar platforms such as McGill’s M3 platform. (shrink)

ABSTRACT LeDoux's pioneering work on the neurobiology of fear has played a crucial role in informing debates in the philosophy of emotion. For example, it plays a key part in Griffiths’ argument for why emotions don’t form a natural kind. Likewise, it is employed by Faucher and Tappolet to defend pro-emotion views, which claim that emotions aid reasoning. LeDoux, however, now argues that his work has been misread. He argues that using emotion terms, like ‘fear’, to describe neurocognitive data adds (...) a ‘surplus meaning’: it attributes phenomenal properties to survival circuits which they don’t possess. This paper aims to explore LeDoux's new proposal, and examine the potentially devastating consequences that ensue for the aforementioned views. I end by addressing the worry that these lessons are conditional on LeDoux's own higher-order theory of emotional consciousness being true. (shrink)

One might be inclined to assume, given the mouse donning its cover, that the behavior of interest in Nicole Nelson's book Model Behavior (2018) is that of organisms like mice that are widely used as “stand-ins” for investigating the causes of human behavior. Instead, Nelson's ethnographic study focuses on the strategies adopted by a community of rodent behavioral researchers to identify and respond to epistemic challenges they face in using mice as models to understand the causes of disordered human behaviors (...) associated with mental illness. Although Nelson never explicitly describes the knowledge production activities in which her behavioral geneticist research subjects engage as “exemplary”, the question of whether or not these activities constitute “model behavior(s)”—generalizable norms for engaging in scientific research—is one of the many thought-provoking questions raised by her book. As a philosopher of science interested in this question, I take it up here. (shrink)

We are immersed within an odorous sea of chemical currents that we parse into individual odors with complex structures. Odors have been posited as determined by the structural relation between the molecules that compose the chemical compounds and their interactions with the receptor site. But, naturally occurring smells are parsed from gaseous odor plumes. To give a comprehensive account of the nature of odors the chemosciences must account for these large distributed entities as well. We offer a focused review of (...) what is known about the perception of odor plumes for olfactory navigation and tracking, which we then connect to what is known about the role odorants play as properties of the plume in determining odor identity with respect to odor quality. We end by motivating our central claim that more research needs to be conducted on the role that odorants play within the odor plume in determining odor identity. (shrink)

La Revista Sophia, se complace en presentar la publicación número 26 de su colección, en esta ocasión la reflexión centra su atención en Biología y Educación: la neuroeducación. Este volumen se propone vislumbrar los fundamentos filosóficos de la biología, su interdisciplinariedad con las ciencias de la educación, los enfoques y perspectivas de la biología de la educación, el valor y los límites de la sociobiología. En el abordaje filosófico de la biología y la educación surgen va-rias interrogantes como ¿Cuáles han (...) sido las consecuencias educativas del evolucionismo social en la actualidad? ¿Cómo sustentar los procesos edu-cativos en el desarrollo biológico sin caer en determinismo biologicista? ¿Es posible una plena libertad para el aprendizaje desde la biología de la educación? ¿Cómo ha influido las teoría de la epistemología evolucionis-ta/genética en el desarrollo de estrategias de enseñanza-aprendizaje?; ¿Es la educación un proceso de adaptación biológica? ¿Cuáles son los funda-mentos filosóficos de la neuroeducación? ¿Qué aportes y estrategias han surgido de la neuroeducación para mejorar los procesos de aprendizaje? ¿Cuáles son los problemas o límites de la neuroeducación? ¿Qué meca-nismos biológicos del aprendizaje vinculan mente y cerebro en la neuro-ciencia contemporánea?, entre otras. (shrink)

This paper examines the explanatory distinctness of wiring optimization models in neuroscience. Wiring optimization models aim to represent the organizational features of neural and brain systems as optimal (or near-optimal) solutions to wiring optimization problems. My claim is that that wiring optimization models provide design explanations. In particular, they support ideal interventions on the decision variables of the relevant design problem and assess the impact of such interventions on the viability of the target system.

In its origins educational neuroscience has started as an endeavor to discuss implications of neuroscience studies for education. However, it is now on its way to become a transdisciplinary field, incorporating findings, theoretical frameworks and methodologies from education, and cognitive and brain sciences. Given the differences and diversity in the originating disciplines, it has been a challenge for educational neuroscience to integrate both theoretical and methodological perspective in education and neuroscience in a coherent way. We present a multi-level framework for (...) educational neuroscience, which argues for integration of multiple levels of analysis, some originating in brain and cognitive sciences, others in education, as a roadmap for the future of educational neuroscience with concrete examples in moral education. (shrink)

Discussions of psychiatric nosology focus on a few popular examples of disorders, and on the validity of diagnostic criteria. Looking at Anorexia Nervosa, an example rarely mentioned in this literature, reveals a new problem: the DSM has a strict taxonomic structure, which assumes that disorders can only be located on one branch. This taxonomic assumption fails to fit the domain of psychopathology, resulting in obfuscation of cross-category connections. Poor outcomes for treatment of Anorexia may be due to it being pigeonholed (...) as an Eating Disorder, when a disturbance of body perception may be a more central symptom than food restriction. This paper explores the possibility of restructuring the DSM taxonomy to allow for a pluralist classification of disorders. This change could improve treatment and research without requiring any changes to diagnostic criteria. (shrink)

I will review the most widely held account of phantom sensations; the “re-mapping hypothesis.” According to the re-mapping hypothesis, amputation is followed by significant neural reorganization that, over time, restores the alignment between the brain’s representation of and the actual condition of the body. Implicit in the re-mapping hypothesis is the view that the brain’s primary function is to accurately represent the body. In response, I propose an alternative theory, the “preservation hypothesis.” The preservation hypothesis argues that the primary function (...) of the brain is to preserve the entirety of the brain’s structures and functional capacities. While these issues concern empirical matters, assessing our views on the subject discloses deeply held assumptions regarding the brain’s primary function; does the brain operate to provide an accurate representation of the body? Or, does the brain operate solely to preserve its structures and functional capacities in their entirety? (shrink)

Courtesy of its free energy formulation, the hierarchical predictive processing theory of the brain (PTB) is often claimed to be a grand unifying theory. To test this claim, we examine a central case: activity of mesocorticolimbic dopaminergic (DA) systems. After reviewing the three most prominent hypotheses of DA activity—the anhedonia, incentive salience, and reward prediction error hypotheses—we conclude that the evidence currently vindicates explanatory pluralism. This vindication implies that the grand unifying claims of advocates of PTB are unwarranted. More generally, (...) we suggest that the form of scientific progress in the cognitive sciences is unlikely to be a single overarching grand unifying theory. (shrink)

Is Neo-Aristotelian hylomorphism compatible mechanistic science? In this essay I forge a rapprochement between Neo-Aristotelian hylomorphism and the "new mechanist philosophy" in biology, neuroscience, and psychology by drawing attention to their shared commitments concerning multilevel organization, mechanisms, and teleology. Significantly, the new mechanists endorse organization realism (a touchstone of hylomorphism). Similarly, Neo-Aristotelian hylomorphism is committed to the reality of mechanisms or causal powers that produce, underlie, or maintain the behavior of (i) phenomena that are constituted through the (ii) spatial, temporal, (...) and active organization of their (iii) component entities and (iv) component activities (the four hallmarks of the new mechanist philosophy). In the course of the essay I address potential disagreements between these two positions pertaining to emergence, downward causation, and teleology. I conclude that Neo-Aristotelian hylomorphism should not been seen as fundamentally opposed to mechanisms; rather, hylomorphism provides a rigorous ontological framework that complements the insights of the new mechanist philosophy of biology, neuroscience and psychology. (shrink)

Upon first hearing sinewaves, all that can be discerned are beeps and whistles. But after hearing the original speech, the beeps and whistles sound like speech. The difference between these two episodes undoubtedly involves an alteration in phenomenal character. O’Callaghan (2011) argues that this alteration is non-sensory, but he leaves open the possibility of attributing it to some other source, e.g. cognition. I discuss whether the alteration in phenomenal character involved in sinewave speech provides evidence for cognitive phenomenology. I defend (...) both the existence of cognitive phenomenology and the phenomenal contrast method, as each concerns the case presented here. (shrink)

There is converging evidence that high doses of hallucinogenic drugs can produce significant alterations of self-experience, described as the dissolution of the sense of self and the loss of boundaries between self and world. This article discusses the relevance of this phenomenon, known as “drug-induced ego dissolution (DIED)”, for cognitive neuroscience, psychology and philosophy of mind. Data from self-report questionnaires suggest that three neuropharmacological classes of drugs can induce ego dissolution: classical psychedelics, dissociative anesthetics and agonists of the kappa opioid (...) receptor (KOR). While these substances act on different neurotransmitter receptors, they all produce strong subjective effects that can be compared to the symptoms of acute psychosis, including ego dissolution. It has been suggested that neuroimaging of DIED can indirectly shed light on the neural correlates of the self. While this line of inquiry is promising, its results must be interpreted with caution. First, neural correlates of ego dissolution might reveal the necessary neurophysiological conditions for the maintenance of the sense of self, but it is more doubtful that this method can reveal its minimally sufficient conditions. Second, it is necessary to define the relevant notion of self at play in the phenomenon of DIED. This article suggests that DIED consists in the disruption of subpersonal processes underlying the “minimal” or “embodied” self, i.e., the basic experience of being a self rooted in multimodal integration of self-related stimuli. This hypothesis is consistent with Bayesian models of phenomenal selfhood, according to which the subjective structure of conscious experience ultimately results from the optimization of predictions in perception and action. Finally, it is argued that DIED is also of particular interest for philosophy of mind. On the one hand, it challenges theories according to which consciousness always involves self-awareness. On the other hand, it suggests that ordinary conscious experience might involve a minimal kind of self-awareness rooted in multisensory processing, which is what appears to fade away during DIED. (shrink)

Do neurobiologists aim to discover natural kinds? I address this question in this chapter via a critical analysis of classification practices operative across the 43-year history of research on long-term potentiation. I suggest that this 43-year history supports the idea that the structure of scientific practice surrounding LTP research has remained an obstacle to the discovery of natural kinds as philosophers of science have traditionally conceived them.

The past decade has witnessed a growing awareness of conceptual and methodological hurdles within psychology and neuroscience that must be addressed for taxonomic and explanatory progress in understanding psychological functions to be possible. In this paper, I evaluate several recent knowledge-building initiatives aimed at overcoming these obstacles. I argue that while each initiative offers important insights about how to facilitate taxonomic and explanatory progress in psychology and neuroscience, only a “coordinated pluralism” that incorporates positive aspects of each initiative will have (...) the potential for success. (shrink)

The goal of this short chapter, aimed at philosophers, is to provide an overview and brief explanation of some central concepts involved in predictive processing (PP). Even those who consider themselves experts on the topic may find it helpful to see how the central terms are used in this collection. To keep things simple, we will first informally define a set of features important to predictive processing, supplemented by some short explanations and an alphabetic glossary. -/- The features described here (...) are not shared in all PP accounts. Some may not be necessary for an individual model; others may be contested. Indeed, not even all authors of this collection will accept all of them. To make this transparent, we have encouraged contributors to indicate briefly which of the features are necessary to support the arguments they provide, and which (if any) are incompatible with their account. For the sake of clarity, we provide the complete list here, very roughly ordered by how central we take them to be for “Vanilla PP” (i.e., a formulation of predictive processing that will probably be accepted by most researchers working on this topic). More detailed explanations will be given below. Note that these features do not specify individually necessary and jointly sufficient conditions for the application of the concept of “predictive processing”. All we currently have is a semantic cluster, with perhaps some overlapping sets of jointly sufficient criteria. The framework is still developing, and it is difficult, maybe impossible, to provide theory-neutral explanations of all PP ideas without already introducing strong background assumptions. (shrink)

In cognitive science, the concept of dissociation has been central to the functional individuation and decomposition of cognitive systems. Setting aside debates about the legitimacy of inferring the existence of dissociable systems from ‘behavioural’ dissociation data, the main idea behind the dissociation approach is that two cognitive systems are dissociable, and thus viewed as distinct, if each can be damaged, or impaired, without affecting the other system’s functions. In this article, I propose a notion of functional independence that does not (...) require dissociability, and describe an approach to the functional decomposition and modelling of cognitive systems that complements the dissociation approach. I show that highly integrated cognitive and neurocognitive systems can be decomposed into non-dissociable but functionally independent components, and argue that this approach can provide a general account of cognitive specialization in terms of a stable structure–function relationship. 1 Introduction2 Functional Independence without Dissociability3 FI Systems and Cognitive Architecture4 FI Systems and Cognitive Specialization. (shrink)

I develop a distinction between two types of psychological hedonism. Inferential hedonism (or “I-hedonism”) holds that each person only has ultimate desires regarding his or her own hedonic states (pleasure and pain). Reinforcement hedonism (or “R–hedonism”) holds that each person's ultimate desires, whatever their contents are, are differentially reinforced in that person’s cognitive system only by virtue of their association with hedonic states. I’ll argue that accepting R-hedonism and rejecting I-hedonism provides a conciliatory position on the traditional altruism debate, and (...) that it coheres well with the neuroscientist Anthony Dickinson’s theory about the evolutionary function of hedonic states, the “hedonic interface theory.” Finally, I’ll defend R-hedonism from potential objections. (shrink)

For many employees, ‘work’ is no longer something performed while sitting at a computer in an office. Employees in a growing number of industries are expected to carry mobile devices and be available for work-related interactions even when beyond the workplace and outside of normal business hours. In this article it is argued that a future step will increasingly be to move work-related information and communication technology (ICT) inside the human body through the use of neuroprosthetics, to create employees who (...) are always ‘online’ and connected to their workplace’s digital ecosystems. At present, neural implants are used primarily to restore abilities lost through injury or illness, however their use for augmentative purposes is expected to grow, resulting in populations of human beings who possess technologically altered capacities for perception, memory, imagination, and the manipulation of physical environments and virtual cyberspace. Such workers may exchange thoughts and share knowledge within posthuman cybernetic networks that are inaccessible to unaugmented human beings. Scholars note that despite their potential benefits, such neuroprosthetic devices may create numerous problems for their users, including a sense of alienation, the threat of computer viruses and hacking, financial burdens, and legal questions surrounding ownership of intellectual property produced while using such implants. Moreover, different populations of human beings may eventually come to occupy irreconcilable digital ecosystems as some persons embrace neuroprosthetic technology, others feel coerced into augmenting their brains to compete within the economy, others might reject such technology, and still others will simply be unable to afford it. In this text we propose a model for analyzing how particular neuroprosthetic devices will either facilitate human beings’ participation in new forms of socioeconomic interaction and digital workplace ecosystems – or undermine their mental and physical health, privacy, autonomy, and authenticity. We then show how such a model can be used to create device ontologies and typologies that help us classify and understand different kinds of advanced neuroprosthetic devices according to the impact that they will have on individual human beings. (shrink)

In this article I explore a number of questions that have not been adequately investigated in philosophy of mind circles: are minds located in the same place as the brains (or other computing machinery) supporting them? Must they exist at the same location as the body? Must they exist at the same time? Could a single mind be implemented in multiple brains, or multiple minds in a single brain? Under what conditions might a single mind persist despite being implemented successively (...) in different brains? What contributions do features of the computing machinery make to these questions, compared to the contribution made by the body and embedded point of view? Some of these questions have been touched on previously, but there hasn’t been any attempt at a systematic analysis of the various consequences that different approaches in the philosophy of mind have for how the spatiotemporal location, synchronic individuation and diachronic identity of minds relates to the spatiotemporal location, synchronic individuation, and diachronic identity of both the implementing computational machinery and the embodied embedded point of view. I make a first stab at such an analysis by discussing a variety of thought experiments in which such questions of location, individuation, and identity arise, and I explore how various approaches to understanding the mind – identity theoretic, functionalist, contentualist, embodied/embedded/extended, and so forth – would respond to such situations. A number of novel issues emerge, and some surprising affinities are revealed. (shrink)