Inferring structure in neural time series data: dynamics and connectivity

The ability to derive insights from complex high-dimensional data, such as neural data, is important to improve our understanding of the underlying system. In this thesis, we approach this by studying two aspects of neural data: dynamics and connectivity. First, we analyze the dynamics of the sponta...

Full description

Saved in:
Bibliographic Details
Main Author: Suryadi
Other Authors: Chew Lock Yue
Format: Thesis-Doctor of Philosophy
Language:English
Published: Nanyang Technological University 2023
Subjects:
Online Access:https://hdl.handle.net/10356/170411
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English

Similar Items