Co-operative populations of neurons: mean field models of mesoscopic brain activity
While the basic units of computation in the brain are the neuronal cells, their sheer number,
complexity of structural organisation and widespread connectivity make it difficult, if not …
complexity of structural organisation and widespread connectivity make it difficult, if not …
[HTML][HTML] Mean-fields and neural masses
K Friston - PLoS Computational Biology, 2008 - journals.plos.org
This issue's front section features a special Review: The Dynamic Brain: From Spiking
Neurons to Neural Masses and Cortical Fields. I was asked to write this Editorial on behalf of …
Neurons to Neural Masses and Cortical Fields. I was asked to write this Editorial on behalf of …
Mean-field models for EEG/MEG: from oscillations to waves
Neural mass models have been used since the 1970s to model the coarse-grained activity
of large populations of neurons. They have proven especially fruitful for understanding brain …
of large populations of neurons. They have proven especially fruitful for understanding brain …
A mean-field approach to the dynamics of networks of complex neurons, from nonlinear Integrate-and-Fire to Hodgkin–Huxley models
M Carlu, O Chehab, L Dalla Porta… - Journal of …, 2020 - journals.physiology.org
We present a mean-field formalism able to predict the collective dynamics of large networks
of conductance-based interacting spiking neurons. We apply this formalism to several …
of conductance-based interacting spiking neurons. We apply this formalism to several …
The mean field approach for populations of spiking neurons
G La Camera - Computational Modelling of the Brain: Modelling …, 2021 - Springer
Mean field theory is a device to analyze the collective behavior of a dynamical system
comprising many interacting particles. The theory allows to reduce the behavior of the …
comprising many interacting particles. The theory allows to reduce the behavior of the …
Neural masses and fields: modeling the dynamics of brain activity
D Pinotsis, P Robinson, P beim Graben… - Frontiers in …, 2014 - frontiersin.org
Biophysical modeling of brain activity has a long and illustrious history (Ermentrout, 1998;
Deco et al., 2008; Coombes, 2010) and has recently profited from technological advances …
Deco et al., 2008; Coombes, 2010) and has recently profited from technological advances …
A constructive mean-field analysis of multi population neural networks with random synaptic weights and stochastic inputs
We deal with the problem of bridging the gap between two scales in neuronal modeling. At
the first (microscopic) scale, neurons are considered individually and their behavior …
the first (microscopic) scale, neurons are considered individually and their behavior …
Towards a theory of cortical columns: From spiking neurons to interacting neural populations of finite size
Neural population equations such as neural mass or field models are widely used to study
brain activity on a large scale. However, the relation of these models to the properties of …
brain activity on a large scale. However, the relation of these models to the properties of …
Population dynamics under the Laplace assumption
In this paper, we describe a generic approach to modelling dynamics in neuronal
populations. This approach models a full density on the states of neuronal populations but …
populations. This approach models a full density on the states of neuronal populations but …
The dynamic brain: from spiking neurons to neural masses and cortical fields
The cortex is a complex system, characterized by its dynamics and architecture, which
underlie many functions such as action, perception, learning, language, and cognition. Its …
underlie many functions such as action, perception, learning, language, and cognition. Its …