[HTML][HTML] The quest for multiscale brain modeling
E D'Angelo, V Jirsa - Trends in neurosciences, 2022 - cell.com
Addressing the multiscale organization of the brain, which is fundamental to the dynamic
repertoire of the organ, remains challenging. In principle, it should be possible to model …
repertoire of the organ, remains challenging. In principle, it should be possible to model …
[HTML][HTML] The scientific case for brain simulations
A key element of the European Union's Human Brain Project (HBP) and other large-scale
brain research projects is the simulation of large-scale model networks of neurons. Here, we …
brain research projects is the simulation of large-scale model networks of neurons. Here, we …
A comprehensive neural simulation of slow-wave sleep and highly responsive wakefulness dynamics
Hallmarks of neural dynamics during healthy human brain states span spatial scales from
neuromodulators acting on microscopic ion channels to macroscopic changes in …
neuromodulators acting on microscopic ion channels to macroscopic changes in …
Biologically realistic mean-field models of conductance-based networks of spiking neurons with adaptation
Accurate population models are needed to build very large-scale neural models, but their
derivation is difficult for realistic networks of neurons, in particular when nonlinear properties …
derivation is difficult for realistic networks of neurons, in particular when nonlinear properties …
A multi-layer mean-field model of the cerebellum embedding microstructure and population-specific dynamics
RM Lorenzi, A Geminiani, Y Zerlaut… - PLOS Computational …, 2023 - journals.plos.org
Mean-field (MF) models are computational formalism used to summarize in a few statistical
parameters the salient biophysical properties of an inter-wired neuronal network. Their …
parameters the salient biophysical properties of an inter-wired neuronal network. Their …
Brain-scale emergence of slow-wave synchrony and highly responsive asynchronous states based on biologically realistic population models simulated in The Virtual …
Understanding the many facets of the organization of brain dynamics at large scales
remains largely unexplored. Here, we construct a brain-wide model based on recent …
remains largely unexplored. Here, we construct a brain-wide model based on recent …
Suppressive traveling waves shape representations of illusory motion in primary visual cortex of awake primate
How does the brain link visual stimuli across space and time? Visual illusions provide an
experimental paradigm to study these processes. When two stationary dots are flashed in …
experimental paradigm to study these processes. When two stationary dots are flashed in …
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 …
High-density exploration of activity states in a multi-area brain model
To simulate whole brain dynamics with only a few equations, biophysical, mesoscopic
models of local neuron populations can be connected using empirical tractography data …
models of local neuron populations can be connected using empirical tractography data …
Experimental and computational study on motor control and recovery after stroke: toward a constructive loop between experimental and virtual embodied …
Being able to replicate real experiments with computational simulations is a unique
opportunity to refine and validate models with experimental data and redesign the …
opportunity to refine and validate models with experimental data and redesign the …