High dimensional dynamics and low dimensional readouts in neural microcircuits (Haeusler et al 2006)


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We investigate generic models for cortical microcircuits, i.e. recurrent circuits of integrate-and fire neurons with dynamic synapses. These complex dynamic systems subserve the amazing information processing capabilities of the cortex, but are at the present time very little understood. We analyze the transient dynamics of models for neural microcircuits from the point of view of one or two readout neurons that collapse the high dimensional transient dynamics of a neural circuit into a 1- or 2--dimensional output stream. See paper for more and details.
Reference:
1 . Haeusler S, Markram H, Maass W (2003) Perspectives of the high dimensional dynamics of neural microcircuits from the point of view of low dimensional readouts. Complexity (special issue on Complex Adaptive Systems) 8(4):39-50
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Model Type: Realistic Network;
Brain Region(s)/Organism: Neocortex;
Cell Type(s):
Channel(s):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: CSIM (web link to model);
Model Concept(s): Activity Patterns; Simplified Models; Attractor Neural Network;
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Haeusler S, Markram H, Maass W (2003) Perspectives of the high dimensional dynamics of neural microcircuits from the point of view of low dimensional readouts. Complexity (special issue on Complex Adaptive Systems) 8(4):39-50

References and models cited by this paper

References and models that cite this paper

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