Three challenges for connecting model to mechanism in decision-making

Churchland, Anne K., Kiani, Roozbeh (October 2016) Three challenges for connecting model to mechanism in decision-making. Current Opinion in Behavioral Sciences, 11. pp. 74-80. ISSN 2352-1546

URL: http://www.ncbi.nlm.nih.gov/pubmed/27403450
DOI: 10.1016/j.cobeha.2016.06.008

Abstract

Recent years have seen a growing interest in understanding the neural mechanisms that support decision-making. The advent of new tools for measuring and manipulating neurons, alongside the inclusion of multiple new animal models and sensory systems has led to the generation of many novel datasets. The potential for these new approaches to constrain decision-making models is unprecedented. Here, we argue that to fully leverage these new approaches, three challenges must be met. First, experimenters must design well-controlled behavioral experiments that make it possible to distinguish competing behavioral strategies. Second, analyses of neural responses should think beyond single neurons, taking into account tradeoffs of single-trial versus trial-averaged approaches. Finally, quantitative model comparisons should be used, but must consider common obstacles.

Item Type: Paper
Subjects: organism description > animal behavior
organism description > animal behavior > decision making
CSHL Authors:
Communities: CSHL labs > Churchland lab
Depositing User: Matt Covey
Date: October 2016
Date Deposited: 29 Jun 2016 16:55
Last Modified: 22 Jul 2016 16:42
PMCID: PMC4937614
Related URLs:
URI: http://repository.cshl.edu/id/eprint/32928

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