Matteo CarandiniThe 2024 UCL Neuropixels course will take place on 14-16 October. Registration is free. Register today! More info: https://www.ucl.ac.uk/neuropixels/training/2024-neuropixels-course
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International Brain Laboratory
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Experimental & theoretical neuroscientists collaborating to understand brainwide circuits for complex behavior. #Neuroscience
@MatteoCarandini @EnnyvBeest and Celian Thanks for organizing such a great course and giving us the opportunity to participate!
Click through to add these to your SfN program:
Brain-wide atlas of Electrophysiological properties and associated tools: https://www.abstractsonline.com/pp8/#!/10892/presentation/39428
Atlas of intrinsic timescales in the mousebrain: https://www.abstractsonline.com/pp8/#!/10892/presentation/41757
Automating multi-probe insertions to improve the efficiency and reproducibility of electrophysiology experiments: https://www.abstractsonline.com/pp8/#!/10892/presentation/37750
Universal Renderer for Neuroscience: https://www.abstractsonline.com/pp8/#!/10892/presentation/37766
Lightning Pose: https://www.abstractsonline.com/pp8/#!/10892/presentation/37745
Going to SfN this year? Join us for a workshop on how to use the IBL Brainwide Map dataset to test your own hypotheses! For more information and to register, visit http://internationalbrainlab.org/sfn2023
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)
#neuroscience
https://www.biorxiv.org/content/10.1101/2023.07.04.547684v1
#neuroscience
https://www.biorxiv.org/content/10.1101/2023.07.04.547684v1
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)
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)
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)
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)