Neural Mechanisms: New Challenges in the Philosophy of Neuroscience

Springer (2020)
  Copy   BIBTEX

Abstract

This volume brings together new papers advancing contemporary debates in foundational, conceptual, and methodological issues in cognitive neuroscience. The different perspectives presented in each chapter have previously been discussed between the authors, as the volume builds on the experience of Neural Mechanisms Online – webinar series on the philosophy of neuroscience organized by the editors of this volume. The contributed chapters pertain to five core areas in current philosophy of neuroscience. It surveys the novel forms of explanation developed in cognitive neuroscience, and looks at new concepts, methods and techniques used in the field. The book also highlights the metaphysical challenges raised by recent neuroscience and demonstrates the relation between neuroscience and mechanistic philosophy. Finally, the book dives into the issue of neural computations and representations. Assembling contributions from leading philosophers of neuroscience, this work draws upon the expertise of both established scholars and promising early career researchers.

Links

PhilArchive



    Upload a copy of this work     Papers currently archived: 74,662

External links

Setup an account with your affiliations in order to access resources via your University's proxy server

Through your library

Similar books and articles

Computational Cognitive Neuroscience.Carlos Zednik - forthcoming - In Mark Sprevak & Matteo Colombo (eds.), The Routledge Handbook of the Computational Mind. Routledge.
Function-Theoretic Explanation and the Search for Neural Mechanisms.Frances Egan - 2017 - In Explanation and Integration in Mind and Brain Science 145-163. Oxford, UK: pp. 145-163.
Positive Neuroscience.Joshua D. Greene, India Morrison & Martin E. P. Seligman (eds.) - 2016 - Oxford University Press USA.
Bayes in the Brain—On Bayesian Modelling in Neuroscience.Matteo Colombo & Peggy Seriès - 2012 - British Journal for the Philosophy of Science 63 (3):697-723.

Analytics

Added to PP
2020-05-27

Downloads
16 (#663,022)

6 months
5 (#144,775)

Historical graph of downloads
How can I increase my downloads?

Author's Profile

Marco Viola
Università degli Studi di Torino

Citations of this work

No citations found.

Add more citations

References found in this work

No references found.

Add more references