8 found
  1. Multivariate Pattern Analysis and the Search for Neural Representations.Bryce Gessell, Benjamin Geib & Felipe De Brigard - 2021 - Synthese 199 (5-6):12869-12889.
    Multivariate pattern analysis, or MVPA, has become one of the most popular analytic methods in cognitive neuroscience. Since its inception, MVPA has been heralded as offering much more than regular univariate analyses, for—we are told—it not only can tell us which brain regions are engaged while processing particular stimuli, but also which patterns of neural activity represent the categories the stimuli are selected from. We disagree, and in the current paper we offer four conceptual challenges to the use of MVPA (...)
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    Network Modularity as a Foundation for Neural Reuse.Matthew L. Stanley, Bryce Gessell & Felipe De Brigard - 2019 - Philosophy of Science 86 (1):23-46.
    The neural reuse framework developed primarily by Michael Anderson proposes that brain regions are involved in multiple and diverse cognitive tasks and that brain regions flexibly and dynamically interact in different combinations to carry out cognitive functioning. We argue that the evidence cited by Anderson and others falls short of supporting the fundamental principles of neural reuse. We map out this problem and provide solutions by drawing on recent advances in network neuroscience, and we argue that methods employed in network (...)
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  3. Prediction and Topological Models in Neuroscience.Bryce Gessell, Matthew Stanley, Benjamin Geib & Felipe De Brigard - forthcoming - In Fabrizio Calzavarini & Marco Viola (eds.), Neural Mechanisms: New challenges in the philosophy of neuroscience. Springer.
    In the last two decades, philosophy of neuroscience has predominantly focused on explanation. Indeed, it has been argued that mechanistic models are the standards of explanatory success in neuroscience over, among other things, topological models. However, explanatory power is only one virtue of a scientific model. Another is its predictive power. Unfortunately, the notion of prediction has received comparatively little attention in the philosophy of neuroscience, in part because predictions seem disconnected from interventions. In contrast, we argue that topological predictions (...)
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    ‘Mon Petit Essai’: Émilie du Ch'telet’s Essai Sur L’Optique and Her Early Natural Philosophy.Bryce Gessell - 2019 - British Journal for the History of Philosophy 27 (4):860-879.
    ABSTRACTÉmilie du Châtelet’s recently-discovered Essai sur l’optique offers new insights into her early natural philosophy. Here I analyse the Essai in detail, focusing on Du Châtelet’s use of attr...
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    Indeterminism in the Brain.Bryce Gessell - 2017 - Biology and Philosophy 32 (6):1205-1223.
    Does the brain behave indeterministically? I argue that accounting for ion channels, key functional units in the brain, requires indeterministic models. These models are probabilistic, so the brain does behave indeterministically in a weak sense. I explore the implications of this point for a stronger sense of indeterminism. Ultimately I argue that it is not possible, either empirically or through philosophical argument, to show that the brain is indeterministic in that stronger sense.
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    Rejecting Interventions: Alexander Reutlinger: A Theory of Causation in the Social and Biological Sciences. London: Palgrave Macmillan, 2013, 276 Pp, $105.00 HB.Bryce Gessell - 2015 - Metascience 25 (1):139-141.
  7.  14
    Why Episodic Memory May Not Be for Communication.Felipe De Brigard & Bryce Gessell - 2018 - Behavioral and Brain Sciences 41.
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    Professions in Ethical Focus: An Anthology, 2nd Edition Edited by Fritz Allhoff, Jonathan Milgrim, and Anand J. Vaidya.Bryce Gessell - 2022 - Teaching Philosophy 45 (1):105-107.