Artificial neural networks (ANNs) have won numerous contests in pattern recognition, machine learning, and artificial intelligence in recent years. The neuron of ANNs was …
The book provides an introduction to deterministic (and some stochastic) modeling of spatiotemporal phenomena in ecology, epidemiology, and neural systems. A survey of the …
Y Chen, X Li, HG Rotstein… - Journal of …, 2016 - journals.physiology.org
Oscillatory networks often include neurons with membrane potential resonance, exhibiting a peak in the voltage amplitude as a function of current input at a nonzero (resonance) …
We study the effects of dendritic tree topology and biophysical properties on the firing dynamics of a leaky-integrate-and-fire (LIF) neuron that explicitly includes spiking dynamics …
Neuronal networks connected by electrical synapses, also referred to as gap junctions, are present throughout the entire central nervous system. Many instances of gap-junctional …
Understanding the neurophysiological mechanisms of information processing within and across brain regions has always been a fundamental and challenging topic in neuroscience …
L Yihe, Y Timofeeva - The Journal of Mathematical Neuroscience, 2020 - Springer
Neurons are biological cells with uniquely complex dendritic morphologies that are not present in other cell types. Electrical signals in a neuron with branching dendrites can be …
A KERIA Amir, MR KAID - 2023 - dspace.univ-tiaret.dz
Ce mémoire présente une investigation approfondie sur la classification des signaux ECG en utilisant l'intelligence artificielle. L'accent est mis sur l'exploitation de la base de données …
Nicotine enhances cortical neurophysiology and higher cognitive functions, such as attention, learning and memory. This enhancement is presumably mediated by activation of …