<p>The neural field is illustrated by the rectangular box showing the neural activity <i>μ</i>(<i>x</i>,<i>t</i>) composed of inhibitory and excitatory neurons. The input <i>s</i>(<i>x</i>,<i>t</i>) is provided at locations <i>x<sub>i</sub></i> via the Gaussian localization function with width . The explicit model parameters used in the simulations are given in <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1000092#pcbi.1000092-Almonte1" target="_blank">[126]</a>.</p
Abstract The fantastic properties of the brain are due to an intricate interplay between bil-lions o...
Artificial neural networks are usually built on rather few elements such as activation functions, le...
Abstract. This paper is a tutorial review of the structure, composition, and statistical modelin
The quantities ϕab are the fields propagating to population a from population b. Dashed lines repres...
The cerebral cortex is one of the most intricate natural systems known, due to the multitude and het...
Theoretical research on the local cortical network has mainly been concerned with the study of rando...
(a) The biophysical and LIF portions of the model on the cortical surface with delineations of corti...
<p>(A) The architecture of the model is composed of five populations of neurons. Three populations (...
<p><b>A.</b> The model comprises two areas: a lower area approximating primary visual cortex, compos...
<p>(A) The macroarchitecture of the model. Shown are the fast-spiking inhibitory interneuron network...
(A) Schematic representation of the network spatial connectivity and the neuron model. Our network i...
Artificial neural networks are usually built on rather few elements such as activation functions, le...
There have been identified two functionally different neuron classes in the primary visual cortex (V...
<p>The network consists of two parts. In each part, there are excitatory (S, NS) and inhibitory (I) ...
<p>The population of excitatory neurons is subdivided in non-overlapping populations selective to 8 ...
Abstract The fantastic properties of the brain are due to an intricate interplay between bil-lions o...
Artificial neural networks are usually built on rather few elements such as activation functions, le...
Abstract. This paper is a tutorial review of the structure, composition, and statistical modelin
The quantities ϕab are the fields propagating to population a from population b. Dashed lines repres...
The cerebral cortex is one of the most intricate natural systems known, due to the multitude and het...
Theoretical research on the local cortical network has mainly been concerned with the study of rando...
(a) The biophysical and LIF portions of the model on the cortical surface with delineations of corti...
<p>(A) The architecture of the model is composed of five populations of neurons. Three populations (...
<p><b>A.</b> The model comprises two areas: a lower area approximating primary visual cortex, compos...
<p>(A) The macroarchitecture of the model. Shown are the fast-spiking inhibitory interneuron network...
(A) Schematic representation of the network spatial connectivity and the neuron model. Our network i...
Artificial neural networks are usually built on rather few elements such as activation functions, le...
There have been identified two functionally different neuron classes in the primary visual cortex (V...
<p>The network consists of two parts. In each part, there are excitatory (S, NS) and inhibitory (I) ...
<p>The population of excitatory neurons is subdivided in non-overlapping populations selective to 8 ...
Abstract The fantastic properties of the brain are due to an intricate interplay between bil-lions o...
Artificial neural networks are usually built on rather few elements such as activation functions, le...
Abstract. This paper is a tutorial review of the structure, composition, and statistical modelin