CoNNECT: Convolutional Neural Network for Estimating synaptic Connectivity from spike Trains

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Abstract:

The recent increase in reliable, simultaneous high channel count extracellular recordings is exciting for physiologists and theoreticians, because it offers the possibility of reconstructing the underlying neuronal circuits. We recently presented a method of inferring this circuit connectivity from neuronal spike trains by applying the ge...More

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