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7 papers · 2 filters
Random versus maximum entropy models of neural population activity
Ulisse Ferrari, Tomoyuki Obuchi, Thierry Mora
The principle of maximum entropy provides a useful method for inferring statistical mechanics models from observations in correlated systems, and is widely used in a variety of fie…
Analysis of claims that the brain extracellular impedance is high and non-resistive
Boris Barbour
Numerous measurements in the brain of the impedance between two extracellular electrodes have shown that it is approximately resistive in the range of biological interest, k…
A statistical model for brain networks inferred from large-scale electrophysiological signals
Catalina Obando, Fabrizio De Vico Fallani
Network science has been extensively developed to characterize structural properties of complex systems, including brain networks inferred from neuroimaging data. As a result of th…
Death and rebirth of neural activity in sparse inhibitory networks
David Angulo-Garcia, Stefano Luccioli, Simona Olmi +1
In this paper, we clarify the mechanisms underlying a general phenomenon present in pulse-coupled heterogeneous inhibitory networks: inhibition can induce not only suppression of t…
Identification of interictal epileptic networks from dense-EEG
Mahmoud Hassan, Isabelle Merlet, Ahmad Mheich +4
Epilepsy is a network disease. The epileptic network usually involves spatially distributed brain regions. In this context, noninvasive M/EEG source connectivity is an emerging tec…
Intrinsically-generated fluctuating activity in excitatory-inhibitory networks
Francesca Mastrogiuseppe, Srdjan Ostojic
Recurrent networks of non-linear units display a variety of dynamical regimes depending on the structure of their synaptic connectivity. A particularly remarkable phenomenon is the…