Neural Coding and Brain Computing Unit (Tomoki Fukai)
Overview
Research interests
- Network mechanisms of statistical modeling (e.g., predicitve coding, hierarchical Bayesian inference)
- Computations in idling brain states for memory, reasoning, and beyond
- Dendritic computation for network-level computing and learning
- Deciphering neural code in large-scale neural activity data
- Spike-based learning and computing theories (for neuro-AI)
Latest Unit News
- Congratulations to Roman Koshkin for his work "convSeq: Fast and Scalable Method for Detecting Patterns in Spike Data " accepted by ICML2024!
- Tomoki Fukai received JNNS Research Award from the Japanese Neural Network Society.
More Unit News
Postdoc opportunities
We are interested in hiring postdocs with strong background in computational neuroscience, physics, and applied mathematics. Interested candidates are requested to send their resumes to tomoki.fukai[at]oist.jp.
For details of the job posting, please refer to the OIST Careers page.
For details of the job posting, please refer to the OIST Careers page.