Stimulus dependent relationships between behavioral choice and sensory neural responses

Daniel Chicharro; Stefano Panzeri; Ralf M. Haefner

doi:10.7554/ELIFE.54858

Stimulus dependent relationships between behavioral choice and sensory neural responses

Standard

Stimulus dependent relationships between behavioral choice and sensory neural responses. / Chicharro, Daniel; Panzeri, Stefano; Haefner, Ralf M.

In: ELIFE, Vol. 10, e54858, 07.04.2021.

Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review

Harvard

Chicharro, D, Panzeri, S & Haefner, RM 2021, 'Stimulus dependent relationships between behavioral choice and sensory neural responses', ELIFE, vol. 10, e54858. https://doi.org/10.7554/ELIFE.54858

APA

Chicharro, D., Panzeri, S., & Haefner, R. M. (2021). Stimulus dependent relationships between behavioral choice and sensory neural responses. ELIFE, 10, [e54858]. https://doi.org/10.7554/ELIFE.54858

Vancouver

Chicharro D, Panzeri S, Haefner RM. Stimulus dependent relationships between behavioral choice and sensory neural responses. ELIFE. 2021 Apr 7;10. e54858. https://doi.org/10.7554/ELIFE.54858

Bibtex

@article{83bc7c282d5f4afcb23711cecb5d4e1a,

title = "Stimulus dependent relationships between behavioral choice and sensory neural responses",

abstract = "Understanding perceptual decision-making requires linking sensory neural responses to behavioral choices. In two-choice tasks, activity-choice covariations are commonly quantified with a single measure of choice probability (CP), without characterizing their changes across stimulus levels. We provide theoretical conditions for stimulus dependencies of activity-choice covariations. Assuming a general decision-threshold model, which comprises both feedforward and feedback processing and allows for a stimulus-modulated neural population covariance, we analytically predict a very general and previously unreported stimulus dependence of CPs. We develop new tools, including refined analyses of CPs and generalized linear models with stimulus-choice interactions, which accurately assess the stimulus- or choice-driven signals of each neuron, characterizing stimulus-dependent patterns of choice-related signals. With these tools, we analyze CPs of macaque MT neurons during a motion discrimination task. Our analysis provides preliminary empirical evidence for the promise of studying stimulus dependencies of choice-related signals, encouraging further assessment in wider data sets.",

author = "Daniel Chicharro and Stefano Panzeri and Haefner, {Ralf M.}",

year = "2021",

month = apr,

day = "7",

doi = "10.7554/ELIFE.54858",

language = "English",

volume = "10",

journal = "ELIFE",

issn = "2050-084X",

publisher = "eLife Sciences Publications",

}

RIS

TY - JOUR

T1 - Stimulus dependent relationships between behavioral choice and sensory neural responses

AU - Chicharro, Daniel

AU - Panzeri, Stefano

AU - Haefner, Ralf M.

PY - 2021/4/7

Y1 - 2021/4/7

N2 - Understanding perceptual decision-making requires linking sensory neural responses to behavioral choices. In two-choice tasks, activity-choice covariations are commonly quantified with a single measure of choice probability (CP), without characterizing their changes across stimulus levels. We provide theoretical conditions for stimulus dependencies of activity-choice covariations. Assuming a general decision-threshold model, which comprises both feedforward and feedback processing and allows for a stimulus-modulated neural population covariance, we analytically predict a very general and previously unreported stimulus dependence of CPs. We develop new tools, including refined analyses of CPs and generalized linear models with stimulus-choice interactions, which accurately assess the stimulus- or choice-driven signals of each neuron, characterizing stimulus-dependent patterns of choice-related signals. With these tools, we analyze CPs of macaque MT neurons during a motion discrimination task. Our analysis provides preliminary empirical evidence for the promise of studying stimulus dependencies of choice-related signals, encouraging further assessment in wider data sets.

AB - Understanding perceptual decision-making requires linking sensory neural responses to behavioral choices. In two-choice tasks, activity-choice covariations are commonly quantified with a single measure of choice probability (CP), without characterizing their changes across stimulus levels. We provide theoretical conditions for stimulus dependencies of activity-choice covariations. Assuming a general decision-threshold model, which comprises both feedforward and feedback processing and allows for a stimulus-modulated neural population covariance, we analytically predict a very general and previously unreported stimulus dependence of CPs. We develop new tools, including refined analyses of CPs and generalized linear models with stimulus-choice interactions, which accurately assess the stimulus- or choice-driven signals of each neuron, characterizing stimulus-dependent patterns of choice-related signals. With these tools, we analyze CPs of macaque MT neurons during a motion discrimination task. Our analysis provides preliminary empirical evidence for the promise of studying stimulus dependencies of choice-related signals, encouraging further assessment in wider data sets.

UR - http://www.scopus.com/inward/record.url?scp=85105806125&partnerID=8YFLogxK

U2 - 10.7554/ELIFE.54858

DO - 10.7554/ELIFE.54858

M3 - SCORING: Journal article

C2 - 33825683

AN - SCOPUS:85105806125

VL - 10

JO - ELIFE

JF - ELIFE

SN - 2050-084X

M1 - e54858

ER -