From mechanisms to markers: novel noninvasive EEG proxy markers of the neural excitation and inhibition system in humans
Brain function is a product of the balance between excitatory and inhibitory (E/I) brain
activity. Variation in the regulation of this activity is thought to give rise to normal variation in …
activity. Variation in the regulation of this activity is thought to give rise to normal variation in …
Simple model for the prediction of seizure durations
A simple model is used to simulate seizures in a population of spiking excitatory neurons
experiencing a uniform effect from inhibitory neurons. A key feature is introduced into the …
experiencing a uniform effect from inhibitory neurons. A key feature is introduced into the …
Highlights from the 28th Annual Meeting of the Society for the Neural Control of Movement
From April 30th to May 4th, 2018 the Society for the Neural Control of Movement gathered
for their 28th annual meeting in Santa Fe, New Mexico. Over 280 scientists, students, and …
for their 28th annual meeting in Santa Fe, New Mexico. Over 280 scientists, students, and …
Analyzing the Dynamics of Biological and Artificial Neural Networks With Applications to Machine Learning
K Srinivasan - 2024 - search.proquest.com
The study of the brain has profoundly shaped the evolution of computational learning
models and the history of neural networks. This journey began in the 1940s with Warren …
models and the history of neural networks. This journey began in the 1940s with Warren …
Modeling friction force avalanches in molybdenum disulfide and spiking neuronal avalanches in mouse cortex
T Salners - 2023 - ideals.illinois.edu
In nature we find widely varying systems can sometimes be described by a single set of
simple laws. For example, intermittent jumps of both sliding tectonic plates (during an …
simple laws. For example, intermittent jumps of both sliding tectonic plates (during an …
Extreme Value Theory for dynamical systems, with applications in climate and neuroscience
T Caby - 2019 - theses.hal.science
Throughout the thesis, we will discuss, improve and provide a conceptual framework in
which methods based on recurrence properties of chaotic dynamics can be understood. We …
which methods based on recurrence properties of chaotic dynamics can be understood. We …
[HTML][HTML] Extreme value theory of evolving phenomena in complex dynamical systems: Firing cascades in a model of a neural network
T Caby, G Mantica - Chaos: An Interdisciplinary Journal of Nonlinear …, 2020 - pubs.aip.org
We extend the scope of the dynamical theory of extreme values to include phenomena that
do not happen instantaneously but evolve over a finite, albeit unknown at the onset, time …
do not happen instantaneously but evolve over a finite, albeit unknown at the onset, time …
Neutrino cross sections: Status and prospects
MF Carneiro - arXiv preprint arXiv:1804.03238, 2018 - arxiv.org
We summarize the current status of accelerator based neutrino crosssection measurements.
We focus on the experimental challenges while also presenting the motivation for these …
We focus on the experimental challenges while also presenting the motivation for these …
Criticalidade homeostática em um modelo de redes neuronais
GEM Menesse - 2022 - teses.usp.br
A hipótese do cérebro crítico postula que as redes neuronais operariam em um regime de
atividade crítica, pois nela, o sistema otimizaria a transmissão, armazenamento e …
atividade crítica, pois nela, o sistema otimizaria a transmissão, armazenamento e …
Non-linear models on complex networked systems: from synchronization phenomena to activity patterns and cascades
PA Piedrahita Salom, Y Moreno Vega… - 2017 - zaguan.unizar.es
This dissertation articulates concepts from different disciplines and incorporates a
comprehensive study of complex systems. Many dynamical processes on complex …
comprehensive study of complex systems. Many dynamical processes on complex …