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A spiking NN for amplification of feature-selectivity with specific connectivity (Sadeh et al 2015)
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The model simulates large-scale inhibition-dominated spiking networks with different degrees of recurrent specific connectivity. It shows how feature-specific connectivity leads to a linear amplification of feedforward tuning, as reported in recent electrophysiological single-neuron recordings in rodent neocortex. Moreover, feature-specific connectivity leads to the emergence of feature-selective reverberating activity, and entails pattern completion in network responses.
Sadeh S, Clopath C, Rotter S (2015) Processing of Feature Selectivity in Cortical Networks with Specific Connectivity.
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Abstract integrate-and-fire leaky neuron;
Python (web link to model);
Sadeh, Sadra [s.sadeh at ucl.ac.uk];
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