A neuroscientific sequence learning model on spiking neural networks with winner-take-all circuits and lateral inhibition. Written using the NEST neural simulator and custom neuron/synapse models.
Biologically Inspired Lateral Connectivity in Convoluiontal Neural Networks
Explores intra-layer neuronal mechanisms in spiking neural networks, implementing Lateral Inhibition, KWTA, and Homeostasis to enhance learning and pattern recognition.
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