Literature DB >> 26774692

The importance of task design and behavioral control for understanding the neural basis of cognitive functions.

Christopher R Fetsch1.   

Abstract

The success of systems neuroscience depends on the ability to forge quantitative links between neural activity and behavior. Traditionally, this process has benefited from the rigorous development and testing of hypotheses using tools derived from classical psychophysics and computational motor control. As our capacity for measuring neural activity improves, accompanied by powerful new analysis strategies, it seems prudent to remember what these traditional approaches have to offer. Here I present a perspective on the merits of principled task design and tight behavioral control, along with some words of caution about interpretation in unguided, large-scale neural recording studies. I argue that a judicious combination of new and old approaches is the best way to advance our understanding of higher brain function in health and disease.
Copyright © 2015 Elsevier Ltd. All rights reserved.

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Year:  2016        PMID: 26774692      PMCID: PMC5191893          DOI: 10.1016/j.conb.2015.12.002

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


  59 in total

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Authors:  David W Franklin; Daniel M Wolpert
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Journal:  J Neurophysiol       Date:  2012-07-05       Impact factor: 2.714

Review 3.  How and why neural and motor variation are related.

Authors:  Stephen G Lisberger; Javier F Medina
Journal:  Curr Opin Neurobiol       Date:  2015-04-02       Impact factor: 6.627

4.  Puzzlingly High Correlations in fMRI Studies of Emotion, Personality, and Social Cognition.

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Review 5.  Neural circuits as computational dynamical systems.

Authors:  David Sussillo
Journal:  Curr Opin Neurobiol       Date:  2014-02-05       Impact factor: 6.627

6.  Single units and sensation: a neuron doctrine for perceptual psychology?

Authors:  H B Barlow
Journal:  Perception       Date:  1972       Impact factor: 1.490

7.  Inferring mental states from neuroimaging data: from reverse inference to large-scale decoding.

Authors:  Russell A Poldrack
Journal:  Neuron       Date:  2011-12-08       Impact factor: 17.173

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Authors:  Camillo Padoa-Schioppa
Journal:  Annu Rev Neurosci       Date:  2011       Impact factor: 12.449

Review 9.  Normalization as a canonical neural computation.

Authors:  Matteo Carandini; David J Heeger
Journal:  Nat Rev Neurosci       Date:  2011-11-23       Impact factor: 34.870

10.  Perceptual decision making in less than 30 milliseconds.

Authors:  Terrence R Stanford; Swetha Shankar; Dino P Massoglia; M Gabriela Costello; Emilio Salinas
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  4 in total

Review 1.  Designing and Interpreting Psychophysical Investigations of Cognition.

Authors:  Michael L Waskom; Gouki Okazawa; Roozbeh Kiani
Journal:  Neuron       Date:  2019-10-09       Impact factor: 17.173

2.  A practical guide for studying human behavior in the lab.

Authors:  Joao Barbosa; Heike Stein; Sam Zorowitz; Yael Niv; Christopher Summerfield; Salvador Soto-Faraco; Alexandre Hyafil
Journal:  Behav Res Methods       Date:  2022-03-09

3.  Connecting the Brain to Itself through an Emulation.

Authors:  Mijail D Serruya
Journal:  Front Neurosci       Date:  2017-06-30       Impact factor: 4.677

4.  Open-Source Joystick Manipulandum for Decision-Making, Reaching, and Motor Control Studies in Mice.

Authors:  Parley P Belsey; Mark A Nicholas; Eric A Yttri
Journal:  eNeuro       Date:  2020-04-03
  4 in total

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