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» The High-Conductance State of Cortical Networks
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NC
2007
123views Neural Networks» more  NC 2007»
13 years 4 months ago
The complexity of latching transitions in large scale cortical networks
Abstract. We study latching dynamics, i.e. the ability of a network to hop spontaneously from one discrete attractor state to another, which has been proposed as a model of an in...
Emilio Kropff, Alessandro Treves
IJON
2002
69views more  IJON 2002»
13 years 4 months ago
Point-conductance models of cortical neurons with high discharge variability
Recent in vivo intracellular measurements indicate that cortical neurons operate in a highconductance state mainly caused by intense network activity. Biophysical models of morpho...
Michael Rudolph, Alain Destexhe
IJON
2007
120views more  IJON 2007»
13 years 5 months ago
Comparison of dynamical states of random networks with human EEG
Existing models of EEG have mainly focused on relations to network dynamics characterized by firing rates [L. de Arcangelis, H.J. Herrmann, C. Perrone-Capano, Activity-dependent ...
Ralph Meier, Arvind Kumar, Andreas Schulze-Bonhage...
NIPS
2007
13 years 6 months ago
A neural network implementing optimal state estimation based on dynamic spike train decoding
It is becoming increasingly evident that organisms acting in uncertain dynamical environments often employ exact or approximate Bayesian statistical calculations in order to conti...
Omer Bobrowski, Ron Meir, Shy Shoham, Yonina C. El...
IJON
2006
160views more  IJON 2006»
13 years 5 months ago
Attractor dynamics in a modular network model of the cerebral cortex
ional models of cortical associative memory often take a top-down approach. We have previously described such an abstract model with a hypercolumnar structure. Here we explore a s...
Mikael Lundqvist, Martin Rehn, Anders Lansner