| Date | 03.18.2024 11:00 〜 12:00 |
|---|---|
| Speaker | Dr. Edoardo Pinzuti |
| Speaker Institution | Leibniz Institute for Resilience research, Postdoctoral researcher |
| Location | Seminar Room A/B, Myodaiji Area |
| Contact | Keiichi Kitajo Division of Neural Dynamics, NIPS, kkitajo@nips.ac.jp |
| Abstract | 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. |
