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[3S06a] Will BigData change Neuroscience?

NSR/Elsevier Symposium
Support contributed by Japan Agency for Medical Research and Development (Grant number JP21wm0525004) and Grant-in-Aid for Transformative Research Areas (A) "BraiDyn-BC"

Thu. Aug 3, 2023 2:00 PM - 4:00 PM Room 6 (Shirakashi 1)

Organizer: Ryota Kobayashi (The University of Tokyo), Ken Nakae (National Institutes of Natural Sciences)

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[3S06a-Introduction] Introduction

[3S06a-01] The promise and peril of big data in neuroscience

○Mark Kramer¹ (1. Boston University)

[3S06a-02] Fast and wide-field Ca²⁺imaging reveals destabilized cortical networks by top-down inputs for perceptual learning

○Masanori Murayama¹ (1. RIKEN)

[3S06a-03] On incorporation of machine learning and scientific models

○Naoya Takeishi¹ (1. University of Applied Sciences and Arts Western Switzerland, Geneva, Switzerland)

[3S06a-04] Capturing neuronal connectivity in highly irregular fluctuations in the brain

○Shigeru Shinomoto¹, Yasuhiro Tsubo (1. ATR)

[3S06a-05] Scalable computation for large-scale neural data analysis

○Zhe Sage Chen¹ (1. New York University School of Medicine)

[3S06a-Closing] Closing Remarks

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