Synaptic plasticity shapes brain connectivity: implications for network topology

M Stampanoni Bassi, E Iezzi, L Gilio… - International journal of …, 2019 - mdpi.com
Studies of brain network connectivity improved understanding on brain changes and
adaptation in response to different pathologies. Synaptic plasticity, the ability of neurons to …

The human connectome: origins and challenges

O Sporns - Neuroimage, 2013 - Elsevier
The human connectome refers to a map of the brain's structural connections, rendered as a
connection matrix or network. This article attempts to trace some of the historical origins of …

Interplay between persistent activity and activity-silent dynamics in the prefrontal cortex underlies serial biases in working memory

J Barbosa, H Stein, RL Martinez, A Galan-Gadea… - Nature …, 2020 - nature.com
Persistent neuronal spiking has long been considered the mechanism underlying working
memory, but recent proposals argue for alternative 'activity-silent'substrates. Using monkey …

The mechanics of state-dependent neural correlations

B Doiron, A Litwin-Kumar, R Rosenbaum… - Nature …, 2016 - nature.com
Simultaneous recordings from large neural populations are becoming increasingly common.
An important feature of population activity is the trial-to-trial correlated fluctuation of spike …

Does the brain behave like a (complex) network? I. Dynamics

D Papo, JM Buldú - Physics of life reviews, 2024 - Elsevier
Graph theory is now becoming a standard tool in system-level neuroscience. However,
endowing observed brain anatomy and dynamics with a complex network structure does not …

Estimation of directed effective connectivity from fMRI functional connectivity hints at asymmetries of cortical connectome

M Gilson, R Moreno-Bote… - PLoS computational …, 2016 - journals.plos.org
The brain exhibits complex spatio-temporal patterns of activity. This phenomenon is
governed by an interplay between the internal neural dynamics of cortical areas and their …

Towards a theory of cortical columns: From spiking neurons to interacting neural populations of finite size

T Schwalger, M Deger, W Gerstner - PLoS computational biology, 2017 - journals.plos.org
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 …

[КНИГА][B] Statistical field theory for neural networks

M Helias, D Dahmen - 2020 - Springer
Many qualitative features of the emerging collective dynamics in neuronal networks, such as
correlated activity, stability, response to inputs, and chaotic and regular behavior, can be …

Decorrelation of neural-network activity by inhibitory feedback

T Tetzlaff, M Helias, GT Einevoll, M Diesmann - 2012 - journals.plos.org
Correlations in spike-train ensembles can seriously impair the encoding of information by
their spatio-temporal structure. An inevitable source of correlation in finite neural networks is …

Mechanisms of zero-lag synchronization in cortical motifs

LL Gollo, C Mirasso, O Sporns… - PLoS computational …, 2014 - journals.plos.org
Zero-lag synchronization between distant cortical areas has been observed in a diversity of
experimental data sets and between many different regions of the brain. Several …