The term neural population models (NPMs) is used here as catchall for a wide range of approaches that have been variously called neural mass models, mean field models, neural field models, bulk models, and so forth. All NPMs attempt to describe the collective action of neural assemblies directly. Some NPMs treat the densely populated tissue of cortex as an excitable medium, leading to spatially continuous cortical field theories (CFTs). An indirect approach would start by modelling individual cells and then would explain the collective action of a group of cells by coupling many individual models together. In contrast, NPMs employ collective state variables, typically defined as averages over the group of cells, in order to describe the pop...
Population density techniques are efficient simulation techniques for modeling large homogeneous pop...
© Copyright © 2021 Deschle, Ignacio Gossn, Tewarie, Schelter and Daffertshofer.Modeling the dynamics...
A great explanatory gap lies between the molecular pharmacology of psychoactive agents and the neuro...
Artificial neural networks are usually built on rather few elements such as activation functions, le...
Artificial neural networks are usually built on rather few elements such as activation functions, le...
Biophysical modelling of brain activity has a long and illustrious history and has recently profited...
Mathematical modelling of the macroscopic electrical activity of the brain ishighly non-trivial and ...
Abstract. Artificial neural networks are usually built on rather few elements such as activation fun...
Low-dimensional neural mass models are often invoked to model the coarse-grained activity of large p...
Neural population equations such as neural mass or field models are widely used to study brain activ...
Abstract The fantastic properties of the brain are due to an intricate interplay between bil-lions o...
Our understanding of neural population coding has been limited by a lack of analysis methods to char...
<div><p>The mammalian neocortex has a repetitious, laminar structure and performs functions integral...
Cerebral cortex is composed of intricate networks of neurons. These neuronal networks are strongly i...
This paper models the dynamics of a large set of interacting neurons within the framework of statist...
Population density techniques are efficient simulation techniques for modeling large homogeneous pop...
© Copyright © 2021 Deschle, Ignacio Gossn, Tewarie, Schelter and Daffertshofer.Modeling the dynamics...
A great explanatory gap lies between the molecular pharmacology of psychoactive agents and the neuro...
Artificial neural networks are usually built on rather few elements such as activation functions, le...
Artificial neural networks are usually built on rather few elements such as activation functions, le...
Biophysical modelling of brain activity has a long and illustrious history and has recently profited...
Mathematical modelling of the macroscopic electrical activity of the brain ishighly non-trivial and ...
Abstract. Artificial neural networks are usually built on rather few elements such as activation fun...
Low-dimensional neural mass models are often invoked to model the coarse-grained activity of large p...
Neural population equations such as neural mass or field models are widely used to study brain activ...
Abstract The fantastic properties of the brain are due to an intricate interplay between bil-lions o...
Our understanding of neural population coding has been limited by a lack of analysis methods to char...
<div><p>The mammalian neocortex has a repetitious, laminar structure and performs functions integral...
Cerebral cortex is composed of intricate networks of neurons. These neuronal networks are strongly i...
This paper models the dynamics of a large set of interacting neurons within the framework of statist...
Population density techniques are efficient simulation techniques for modeling large homogeneous pop...
© Copyright © 2021 Deschle, Ignacio Gossn, Tewarie, Schelter and Daffertshofer.Modeling the dynamics...
A great explanatory gap lies between the molecular pharmacology of psychoactive agents and the neuro...