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Quantitative measures of cluster quality for use in extracellular recordings
While the use of multi-channel electrodes (stereotrodes and tetrodes) has allowed for the simultaneous recording and identification of many neurons, quantitative measures of the quality of neurons inExpand
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Supervised learning in spiking neurons
We developed a robust algorithm for supervised learning of spatio-temporal patterns by spiking neurons receiving inputs through both excitatory and inhibitory synapses. Expand
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The Convallis learning rule for unsupervised learning in spiking neuronal networks
We describe a synaptic rule for unsupervised learning in spiking neurons that allows a recurrent network of spiking excitatory and inhibitory neurons to develop selective representations of these digits. Expand
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