| 日 時 | 2024年03月18日(月) 11:00 より 12:00 まで |
|---|---|
| 講演者 | Dr. Edoardo Pinzuti |
| 講演者所属 | Leibniz Institute for Resilience research, Postdoctoral researcher |
| 場 所 | 明大寺１Fセミナールーム A/B |
| お問い合わせ先 | 北城圭一（神経ダイナミクス研究部門） kkitajo@nips.ac.jp |
| 要旨 |
In this talk, I will present my recent work on how to obtain frequency-resolved measures of transfer entropy (TE) and active information storage (AIS). These two measures are essential for understanding how information is transferred and stored in biological systems, like the brain. Traditional approaches, such as narrow-band filtering, often encounter issues like phase distortion or within frequency bands analysis ignore that many rhythms can interact at both sender and receiver side. I will present a new algorithm that avoids the common pitfalls of filtering and enables a more nuanced analysis of systems with multiple interacting sources and targets frequencies. Additionally, I will discuss different simulations and applications to both human and animal data demonstrating how frequency-resolved measures of TE and AIS can deepen our understanding of neural information processing in the brain. |
