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🚨Pre-print alert 🚨Yes that’s right, we’re publishing not one, but two, pre-prints! Here we use the *electrophysiology data* from the Brain Wide Map as well as *widefield imaging data* to investigate the question “Where in the brain is prior knowledge represented?” Recordings in 267 brain regions from 121 mice (1/8)

biorxiv.org/content/10.1101/20

In the IBL task, the prior probability that the stimulus appeared on the right side switched in a random and uncued manner between 0.2 and 0.8 in blocks of trials. Mice leverage their prior knowledge of this block structure to improve their performance and obtain more rewards 🧀 (2/8)

Where is prior information about the state of the world represented in the brain? At one extreme, the brain might combine prior information with sensory evidence in high level decision-making brain regions, right before decisions are turned into actions. (3/8)

At the other extreme, the brain might operate like a very large Bayesian network, in which probabilistic inference is the modus operandi in all brain regions and inference can be performed in all directions. (4/8)

We found that prior information is encoded in more than 20% 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). (5/8)

Two different modalities (electrophysiology and widefield imaging [WFI]), different mice but same task! Having one shared canonical task allows us to run the same experiment in different modalities. We found very similar prior representations between modalities. (6/8)

This prior found in the neural activity is reflected in the behavior. Higher decoded priors are associated with a greater proportion of rightward choices. (7/8)

International Brain Laboratory

This work provides a picture, at an unprecedented scale, of the neural processes underpinning prior information in decision-making, bringing evidence for the “Bayesian network” model of the brain. Check out our many more results on our preprint. (8/8)

biorxiv.org/content/10.1101/20

@internationalbrainlab
Really exciting, IBL. Congrats and kudos all around on this huge achievement!