This Research Topic presents new results in the study of STP and summarizes some recent progress in the field. It includes the works on analyzing the ...
Dec 26, 2013 · This Research Topic presents new results in the study of STP and summarizes some recent progress in the field. It includes the works on ...
This Research Topic presents new results in the study of STP and summarizes some recent progress in the field. It includes the works on analyzing the ...
Keywords: associative memory; continuous attractor neural network; network dynamics; neural field model; neural information processing; phenomenological model; ...
The chief phenomena responsible for these processes are so-called neural spikes, or action potentials (AP). These are the transmission of potential differences ...
Nov 22, 2024 · We find that by properly combining STF and STD, a neural system can hold persistent activity of graded lifetime, and that persistent activity ...
Oct 22, 2024 · This Research Topic presents new results in the study of STP and summarizes some recent progress in the field. It includes the works on ...
Neural Information Processing with Dynamical Synapses
Book by Michael K. Y. Wong, Misha Tsodyks, and Si Wu
Experimental data have consistently revealed that the neuronal connection weight, which models the efficacy of the firing of a pre-synaptic neuron in modulating the state of a post-synaptic one, varies on short time scales, ranging from hundreds... Google Books
Originally published: January 8, 2015
Authors: Misha Tsodyks, Michael K. Y. Wong, and Si Wu
Editors: Misha Tsodyks, Michael K. Y. Wong, and Si Wu
Apr 2, 2011 · The present study investigates the impact of STD and STF on the dynamics of continuous attractor neural networks (CANNs) and their potential roles in neural ...
We found that dynamic synapses enable network to exhibit broader spectrum of responses to given input and they make the network more sensitive to changes of ...
The impact of STD and STF on the dynamics of continuous attractor neural networks and their potential roles in neural information processing is investigated ...