An exploratory computational analysis in mice brain networks of widespread epileptic seizure onset locations along with potential strategies for effective intervention …

J Courson, M Quoy, Y Timofeeva… - Frontiers in Computational …, 2024 - frontiersin.org
Mean-field models have been developed to replicate key features of epileptic seizure
dynamics. However, the precise mechanisms and the role of the brain area responsible for …

Disrupted Excitation-Inhibition balance in cognitively normal individuals at risk of alzheimer's disease

I Fortel, L Zhan, O Ajilore, Y Wu… - Journal of Alzheimer's …, 2023 - content.iospress.com
Disrupted Excitation-Inhibition Balance in Cognitively Normal Individuals at Risk of Alzheimer’s
Disease - IOS Press You are viewing a javascript disabled version of the site. Please enable …

Enhanced simulations of whole-brain dynamics using hybrid resting-state structural connectomes

T Manos, S Diaz-Pier, I Fortel, I Driscoll… - Frontiers in …, 2023 - frontiersin.org
The human brain, composed of billions of neurons and synaptic connections, is an intricate
network coordinating a sophisticated balance of excitatory and inhibitory activities between …

Inferring excitation-inhibition dynamics using a maximum entropy model unifying brain structure and function

I Fortel, M Butler, LE Korthauer, L Zhan… - Network …, 2022 - direct.mit.edu
Neural activity coordinated across different scales from neuronal circuits to large-scale brain
networks gives rise to complex cognitive functions. Bridging the gap between micro-and …

Connectome signatures of hyperexcitation in cognitively intact middle-aged female APOE-ε4 carriers

I Fortel, LE Korthauer, Z Morrissey, L Zhan… - Cerebral …, 2020 - academic.oup.com
Synaptic dysfunction is hypothesized to be one of the earliest brain changes in Alzheimer's
disease, leading to “hyperexcitability” in neuronal circuits. In this study, we evaluated a novel …

Noise cleaning the precision matrix of short time series

M Ibáñez-Berganza, C Lucibello, F Santucci, T Gili… - Physical Review E, 2023 - APS
We present a comparison between various algorithms of inference of covariance and
precision matrices in small data sets of real vectors of the typical length and dimension of …

Noise-cleaning the precision matrix of fMRI time series

M Ibáñez-Berganza, C Lucibello, F Santucci… - arXiv preprint arXiv …, 2023 - arxiv.org
We present a comparison between various algorithms of inference of covariance and
precision matrices in small datasets of real vectors, of the typical length and dimension of …

New Graph-based Representation Learning Algorithms

Y Zhang - 2023 - d-scholarship.pitt.edu
In recent years, graph neural networks (GNN) have succeeded in many structural data
analyses, including information retrieval, recommendation system, and social network …

[PDF][PDF] Investigating Spatial Signatures of Spin-Glass Criticality in the Human Brain

A Palutla - 2023 - web2py.iiit.ac.in
The human brain is a highly complex network of interconnected neurons exhibiting
emergent phenomena. The theory of the brain functioning at a critical state-near a second …

Excitation-Inhibition Balance: A Study of Brain Network Dynamics Using Statistical Mechanics

I Fortel - 2021 - search.proquest.com
The brain is a complex dynamical system whose functional properties are largely
determined by the characteristics of its neurons and patterns of synaptic connectivity. Neural …