A distributed and efficient population code of mixed selectivity neurons for flexible navigation decisions

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A distributed and efficient population code of mixed selectivity neurons for flexible navigation decisions. / Kira, Shinichiro; Safaai, Houman; Morcos, Ari S; Panzeri, Stefano; Harvey, Christopher D.

In: NAT COMMUN, Vol. 14, No. 1, 14.04.2023, p. 2121.

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@article{fdb0a2776cfd4ab2994764549d45c87b,
title = "A distributed and efficient population code of mixed selectivity neurons for flexible navigation decisions",
abstract = "Decision-making requires flexibility to rapidly switch one's actions in response to sensory stimuli depending on information stored in memory. We identified cortical areas and neural activity patterns underlying this flexibility during virtual navigation, where mice switched navigation toward or away from a visual cue depending on its match to a remembered cue. Optogenetics screening identified V1, posterior parietal cortex (PPC), and retrosplenial cortex (RSC) as necessary for accurate decisions. Calcium imaging revealed neurons that can mediate rapid navigation switches by encoding a mixture of a current and remembered visual cue. These mixed selectivity neurons emerged through task learning and predicted the mouse's choices by forming efficient population codes before correct, but not incorrect, choices. They were distributed across posterior cortex, even V1, and were densest in RSC and sparsest in PPC. We propose flexibility in navigation decisions arises from neurons that mix visual and memory information within a visual-parietal-retrosplenial network.",
keywords = "Mice, Animals, Parietal Lobe/physiology, Learning, Neurons/physiology, Gyrus Cinguli",
author = "Shinichiro Kira and Houman Safaai and Morcos, {Ari S} and Stefano Panzeri and Harvey, {Christopher D}",
note = "{\textcopyright} 2023. The Author(s).",
year = "2023",
month = apr,
day = "14",
doi = "10.1038/s41467-023-37804-2",
language = "English",
volume = "14",
pages = "2121",
journal = "NAT COMMUN",
issn = "2041-1723",
publisher = "NATURE PUBLISHING GROUP",
number = "1",

}

RIS

TY - JOUR

T1 - A distributed and efficient population code of mixed selectivity neurons for flexible navigation decisions

AU - Kira, Shinichiro

AU - Safaai, Houman

AU - Morcos, Ari S

AU - Panzeri, Stefano

AU - Harvey, Christopher D

N1 - © 2023. The Author(s).

PY - 2023/4/14

Y1 - 2023/4/14

N2 - Decision-making requires flexibility to rapidly switch one's actions in response to sensory stimuli depending on information stored in memory. We identified cortical areas and neural activity patterns underlying this flexibility during virtual navigation, where mice switched navigation toward or away from a visual cue depending on its match to a remembered cue. Optogenetics screening identified V1, posterior parietal cortex (PPC), and retrosplenial cortex (RSC) as necessary for accurate decisions. Calcium imaging revealed neurons that can mediate rapid navigation switches by encoding a mixture of a current and remembered visual cue. These mixed selectivity neurons emerged through task learning and predicted the mouse's choices by forming efficient population codes before correct, but not incorrect, choices. They were distributed across posterior cortex, even V1, and were densest in RSC and sparsest in PPC. We propose flexibility in navigation decisions arises from neurons that mix visual and memory information within a visual-parietal-retrosplenial network.

AB - Decision-making requires flexibility to rapidly switch one's actions in response to sensory stimuli depending on information stored in memory. We identified cortical areas and neural activity patterns underlying this flexibility during virtual navigation, where mice switched navigation toward or away from a visual cue depending on its match to a remembered cue. Optogenetics screening identified V1, posterior parietal cortex (PPC), and retrosplenial cortex (RSC) as necessary for accurate decisions. Calcium imaging revealed neurons that can mediate rapid navigation switches by encoding a mixture of a current and remembered visual cue. These mixed selectivity neurons emerged through task learning and predicted the mouse's choices by forming efficient population codes before correct, but not incorrect, choices. They were distributed across posterior cortex, even V1, and were densest in RSC and sparsest in PPC. We propose flexibility in navigation decisions arises from neurons that mix visual and memory information within a visual-parietal-retrosplenial network.

KW - Mice

KW - Animals

KW - Parietal Lobe/physiology

KW - Learning

KW - Neurons/physiology

KW - Gyrus Cinguli

U2 - 10.1038/s41467-023-37804-2

DO - 10.1038/s41467-023-37804-2

M3 - SCORING: Journal article

C2 - 37055431

VL - 14

SP - 2121

JO - NAT COMMUN

JF - NAT COMMUN

SN - 2041-1723

IS - 1

ER -