Publicly Offered Research
Grant-in-Aid for Scientific Research on Innovative Areas (Research in a proposed research area)
In this project we will focus on how developing cortical visual networks learn to encode an ecologically relevant mid-level visual feature: textures.This will allow us to test hypotheses formulated in mainstream theories of perceptual learning that postulate that as juvenile animals interact with the environment, unsupervised plasticity mechanisms shape the functional connectivity between neurons based on the statistic of the stimuli. However, the rules that link neuronal structural and functional plasticity to the learning process are currently not fully understood.
During FY2022, our research focused on sensory processing and sensory-based decision making, encompassing various experimental and theoretical investigations. We concluded three key studies in this period. Dr. Orlandi's study employed locaNMF tensor decomposition to extract choice signals from dorsal-parietal cortical networks during a decision-making task. This investigation revealed pervasive choice signals in these networks, reflecting top-down signals for inference in sensory and sensory-to-decision processes. The study was published in Nature Communications. Dr. Benucci conducted a separate study investigating the impact of motor-related signals in the visual cortex on perceptual stabilization during self-generated movements. Using convolutional neural networks, the study demonstrated that these signals improve categorization performance, training speed, and noise robustness of classifier networks. This work, highlighting the role of self-generated movements in perceptual stability, was published in Plos Comp. Biology. Finally, Dr. Bolanos's Ph.D. research on texture processing in the mouse visual cortex has been accepted for publication pending minor revisions in Nature Communications.
令和2年度が最終年度であるため、記入しない。
All 2023 2022 2021 2020
All Journal Article (6 results) (of which Peer Reviewed: 6 results, Open Access: 5 results) Presentation (8 results) (of which Int'l Joint Research: 7 results)
Nature Communications
Volume: -
10.1101/2022.09.14.507893
Volume: 14 Pages: 192-192
PLOS Comp. Biology
Volume: 18(3) Issue: 3 Pages: e1009928-e1009928
10.1371/journal.pcbi.1009928
bioRxiv
10.1101/615229
10.21203/rs.3.rs-288103/v1
10.1101/2020.12.20.423700
