Literature DB >> 26921828

Eight open questions in the computational modeling of higher sensory cortex.

Daniel Lk Yamins1, James J DiCarlo2.   

Abstract

Propelled by advances in biologically inspired computer vision and artificial intelligence, the past five years have seen significant progress in using deep neural networks to model response patterns of neurons in visual cortex. In this paper, we briefly review this progress and then discuss eight key 'open questions' that we believe will drive research in computational models of sensory systems over the next five years, both in visual cortex and beyond.
Copyright © 2016 Elsevier Ltd. All rights reserved.

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Year:  2016        PMID: 26921828     DOI: 10.1016/j.conb.2016.02.001

Source DB:  PubMed          Journal:  Curr Opin Neurobiol        ISSN: 0959-4388            Impact factor:   6.627


  10 in total

1.  Toward an Integration of Deep Learning and Neuroscience.

Authors:  Adam H Marblestone; Greg Wayne; Konrad P Kording
Journal:  Front Comput Neurosci       Date:  2016-09-14       Impact factor: 2.380

Review 2.  The Organization and Operation of Inferior Temporal Cortex.

Authors:  Bevil R Conway
Journal:  Annu Rev Vis Sci       Date:  2018-07-30       Impact factor: 6.422

Review 3.  The Unexplored Territory of Neural Models: Potential Guides for Exploring the Function of Metabotropic Neuromodulation.

Authors:  Michael E Hasselmo; Andrew S Alexander; Alec Hoyland; Jennifer C Robinson; Marianne J Bezaire; G William Chapman; Ausra Saudargiene; Lucas C Carstensen; Holger Dannenberg
Journal:  Neuroscience       Date:  2020-04-08       Impact factor: 3.590

4.  Category-Selectivity in Human Visual Cortex Follows Cortical Topology: A Grouped icEEG Study.

Authors:  Cihan Mehmet Kadipasaoglu; Christopher Richard Conner; Meagan Lee Whaley; Vatche George Baboyan; Nitin Tandon
Journal:  PLoS One       Date:  2016-06-07       Impact factor: 3.240

5.  Modeling the Dynamics of Human Brain Activity with Recurrent Neural Networks.

Authors:  Umut Güçlü; Marcel A J van Gerven
Journal:  Front Comput Neurosci       Date:  2017-02-09       Impact factor: 2.380

6.  A Developmental Approach to Machine Learning?

Authors:  Linda B Smith; Lauren K Slone
Journal:  Front Psychol       Date:  2017-12-05

7.  A connectivity-constrained computational account of topographic organization in primate high-level visual cortex.

Authors:  Nicholas M Blauch; Marlene Behrmann; David C Plaut
Journal:  Proc Natl Acad Sci U S A       Date:  2022-01-18       Impact factor: 12.779

8.  Maximal Dependence Capturing as a Principle of Sensory Processing.

Authors:  Rishabh Raj; Dar Dahlen; Kyle Duyck; C Ron Yu
Journal:  Front Comput Neurosci       Date:  2022-03-25       Impact factor: 2.380

Review 9.  Encoding and Decoding Models in Cognitive Electrophysiology.

Authors:  Christopher R Holdgraf; Jochem W Rieger; Cristiano Micheli; Stephanie Martin; Robert T Knight; Frederic E Theunissen
Journal:  Front Syst Neurosci       Date:  2017-09-26

10.  Deep Convolutional Neural Networks Outperform Feature-Based But Not Categorical Models in Explaining Object Similarity Judgments.

Authors:  Kamila M Jozwik; Nikolaus Kriegeskorte; Katherine R Storrs; Marieke Mur
Journal:  Front Psychol       Date:  2017-10-09
  10 in total

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