EEG-informed fMRI: a review of data analysis methods
The simultaneous acquisition of electroencephalography (EEG) with functional magnetic
resonance imaging (fMRI) is a very promising non-invasive technique for the study of human …
resonance imaging (fMRI) is a very promising non-invasive technique for the study of human …
A statistical framework for neuroimaging data analysis based on mutual information estimated via a gaussian copula
We begin by reviewing the statistical framework of information theory as applicable to
neuroimaging data analysis. A major factor hindering wider adoption of this framework in …
neuroimaging data analysis. A major factor hindering wider adoption of this framework in …
Information-theoretic methods for studying population codes
Population coding is the quantitative study of which algorithms or representations are used
by the brain to combine together and evaluate the messages carried by different neurons …
by the brain to combine together and evaluate the messages carried by different neurons …
A toolbox for the fast information analysis of multiple-site LFP, EEG and spike train recordings
Background Information theory is an increasingly popular framework for studying how the
brain encodes sensory information. Despite its widespread use for the analysis of spike …
brain encodes sensory information. Despite its widespread use for the analysis of spike …
Seizure‐onset regions demonstrate high inward directed connectivity during resting‐state: An SEEG study in focal epilepsy
S Narasimhan, KB Kundassery, K Gupta… - …, 2020 - Wiley Online Library
Objective In patients with medically refractory focal epilepsy, stereotactic‐
electroencephalography (SEEG) can aid in localizing epileptogenic regions for surgical …
electroencephalography (SEEG) can aid in localizing epileptogenic regions for surgical …
Neurobind: Towards unified multimodal representations for neural signals
Understanding neural activity and information representation is crucial for advancing
knowledge of brain function and cognition. Neural activity, measured through techniques …
knowledge of brain function and cognition. Neural activity, measured through techniques …
[書籍][B] Principles of neural coding
RQ Quiroga, S Panzeri - 2013 - books.google.com
Understanding how populations of neurons encode information is the challenge faced by
researchers in the field of neural coding. Focusing on the many mysteries and marvels of the …
researchers in the field of neural coding. Focusing on the many mysteries and marvels of the …
Cortical dynamics during naturalistic sensory stimulations: experiments and models
We report the results of our experimental and theoretical investigations of the neural
response dynamics in primary visual cortex (V1) during naturalistic visual stimulation. We …
response dynamics in primary visual cortex (V1) during naturalistic visual stimulation. We …
[HTML][HTML] Group-level inference of information-based measures for the analyses of cognitive brain networks from neurophysiological data
The reproducibility crisis in neuroimaging and in particular in the case of underpowered
studies has introduced doubts on our ability to reproduce, replicate and generalize findings …
studies has introduced doubts on our ability to reproduce, replicate and generalize findings …
[HTML][HTML] A new patterns of self-organization activity of brain: neural energy coding
J Zheng, R Wang, W Kong, J Zhang - Information Sciences, 2022 - Elsevier
According to the basic principles and methods of information theory, the operation way of
neural coding is studied and analyzed by using the minimum mutual information and the …
neural coding is studied and analyzed by using the minimum mutual information and the …