Brain-wide representations of prior information in mouse decision-making

Findling, Charles, Hubert, Felix, Acerbi, Luigi, Benson, Brandon, Benson, Julius, Birman, Daniel, Bonacchi, Niccolò, Carandini, Matteo, Catarino, Joana A, Chapuis, Gaelle A, Churchland, Anne K, Dan, Yang, DeWitt, Eric EJ, Engel, Tatiana A, Fabbri, Michele, Faulkner, Mayo, Fiete, Ila Rani, Freitas-Silva, Laura, Gerçek, Berk, Harris, Kenneth D, Häusser, Michael, Hofer, Sonja B, Hu, Fei, Huntenburg, Julia M, Khanal, Anup, Krasniak, Chris, Langdon, Christopher, Latham, Peter E, P Lau, Petrina Y, Mainen, Zach, Meijer, Guido T, Miska, Nathaniel J, Mrsic-Flogel, Thomas D, Noel, Jean-Paul, Nylund, Kai, Pan-Vazquez, Alejandro, Paninski, Liam, Pillow, Jonathan, Rossant, Cyrille, Roth, Noam, Schaeffer, Rylan, Schartner, Michael, Shi, Yanliang, Socha, Karolina Z, Steinmetz, Nicholas A, Svoboda, Karel, Tessereau, Charline, Urai, Anne E, Wells, Miles J, West, Steven Jon, Whiteway, Matthew R, Winter, Olivier, Witten, Ilana B, Zador, Anthony, Dayan, Peter, Pouget, Alexandre (July 2023) Brain-wide representations of prior information in mouse decision-making. bioRxiv. (Submitted)

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DOI: 10.1101/2023.07.04.547684


The neural representations of prior information about the state of the world are poorly understood. To investigate this issue, we examined brain-wide Neuropixels recordings and widefield calcium imaging collected by the International Brain Laboratory. Mice were trained to indicate the location of a visual grating stimulus, which appeared on the left or right with prior probability alternating between 0.2 and 0.8 in blocks of variable length. We found that mice estimate this prior probability and thereby improve their decision accuracy. Furthermore, we report that this subjective prior is encoded in at least 20% to 30% of brain regions which, remarkably, span all levels of processing, from early sensory areas (LGd, VISp) to motor regions (MOs, MOp, GRN) and high level cortical regions (ACCd, ORBvl). This widespread representation of the prior is consistent with a neural model of Bayesian inference involving loops between areas, as opposed to a model in which the prior is incorporated only in decision making areas. This study offers the first brain-wide perspective on prior encoding at cellular resolution, underscoring the importance of using large scale recordings on a single standardized task.

Item Type: Paper
Subjects: organism description > animal
organism description > animal behavior
organs, tissues, organelles, cell types and functions > organs types and functions > brain
organism description > animal behavior > decision making
organism description > animal > mammal
organism description > animal > mammal > rodent > mouse
organs, tissues, organelles, cell types and functions > organs types and functions
organs, tissues, organelles, cell types and functions
organism description > animal > mammal > rodent
CSHL Authors:
Communities: CSHL labs > Engel lab
CSHL labs > Zador lab
School of Biological Sciences > Publications
SWORD Depositor: CSHL Elements
Depositing User: CSHL Elements
Date: 4 July 2023
Date Deposited: 20 Dec 2023 16:51
Last Modified: 29 Feb 2024 19:17
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