Literature DB >> 34096743

The primacy of behavioral research for understanding the brain.

Yael Niv1.   

Abstract

Understanding the brain requires us to answer both what the brain does, and how it does it. Using a series of examples, I make the case that behavior is often more useful than neuroscientific measurements for answering the first question. Moreover, I show that even for "how" questions that pertain to neural mechanism, a well-crafted behavioral paradigm can offer deeper insight and stronger constraints on computational and mechanistic models than do many highly challenging (and very expensive) neural studies. I conclude that purely behavioral research is essential for understanding the brain-especially its cognitive functions-contrary to the opinion of prominent funding bodies and some scientific journals, who erroneously place neural data on a pedestal and consider behavior to be subsidiary. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Entities:  

Year:  2021        PMID: 34096743     DOI: 10.1037/bne0000471

Source DB:  PubMed          Journal:  Behav Neurosci        ISSN: 0735-7044            Impact factor:   1.912


  14 in total

Review 1.  Looking for the neural basis of memory.

Authors:  James E Kragel; Joel L Voss
Journal:  Trends Cogn Sci       Date:  2021-11-23       Impact factor: 20.229

2.  Flexible reprogramming of Pristionchus pacificus motivation for attacking Caenorhabditis elegans in predator-prey competition.

Authors:  Kathleen T Quach; Sreekanth H Chalasani
Journal:  Curr Biol       Date:  2022-03-07       Impact factor: 10.900

3.  Logical fallacies and misinterpretations that hinder progress in translational addiction neuroscience.

Authors:  Justin C Strickland; William W Stoops; Matthew L Banks; Cassandra D Gipson
Journal:  J Exp Anal Behav       Date:  2022-04-01       Impact factor: 2.215

Review 4.  Promises and challenges of human computational ethology.

Authors:  Dean Mobbs; Toby Wise; Nanthia Suthana; Noah Guzmán; Nikolaus Kriegeskorte; Joel Z Leibo
Journal:  Neuron       Date:  2021-06-17       Impact factor: 18.688

Review 5.  Maternal perinatal anxiety and neural responding to infant affective signals: Insights, challenges, and a road map for neuroimaging research.

Authors:  Tal Yatziv; Emily A Vancor; Madison Bunderson; Helena J V Rutherford
Journal:  Neurosci Biobehav Rev       Date:  2021-09-24       Impact factor: 9.052

6.  Studying dopamine in addiction: the cart should follow the horse.

Authors:  Terry E Robinson; Shaun Y-S Khoo; Carrie R Ferrario; Anne-Noël Samaha
Journal:  Trends Neurosci       Date:  2021-08       Impact factor: 16.978

Review 7.  Laboratory models of post-traumatic stress disorder: The elusive bridge to translation.

Authors:  Joseph E Dunsmoor; Josh M Cisler; Gregory A Fonzo; Suzannah K Creech; Charles B Nemeroff
Journal:  Neuron       Date:  2022-03-23       Impact factor: 18.688

Review 8.  Multi-Level Effects Driving Cognitive and Behavioral Variability among Prairie Voles: Insights into Reproductive Decision-Making from Biological Levels of Organization.

Authors:  Santiago A Forero; Alexander G Ophir
Journal:  Brain Behav Evol       Date:  2022-01-20       Impact factor: 1.919

Review 9.  Population Modelling in Affective Disorders.

Authors:  Erdem Pulcu
Journal:  Curr Behav Neurosci Rep       Date:  2021-04-15

Review 10.  Cognitive Biases in Blood-Injection-Injury Phobia: A Review.

Authors:  Elinor Abado; Tatjana Aue; Hadas Okon-Singer
Journal:  Front Psychiatry       Date:  2021-07-13       Impact factor: 4.157

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