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AssigneeBrain Corporation
InventorsFilip Piekniewski, Micah Richert, Dimitry Fisher, Eugene Izhikevich
Estimating the term…
Apparatus and methods for activity based plasticity in a spiking neuron network adapted to process sensory input. In one embodiment, the plasticity mechanism may be configured for example based on activity of one or more neurons providing feed-forward stimulus and activity of one or more neurons providing inhibitory feedback. When an inhibitory neuron generates an output, inhibitory connections may be potentiated. When an inhibitory neuron receives inhibitory input, the inhibitory connection may be depressed. When the inhibitory input arrives subsequent to the neuron response, the inhibitory connection may be depressed. When input features are unevenly distributed in occurrence, the plasticity mechanism is capable of reducing response rate of neurons that develop receptive fields to more prevalent features. Such functionality may provide network output such that rarely occurring features are not drowned out by more widespread stimulus.
An apparatus configured to process input signals in spiking network, the network comprising an excitatory and an inhibitory neuron, the apparatus comprising:
A non-transitory computer-readable storage medium having instructions resident thereon, the instructions being executable by one or more processors to implement activity-dependent plasticity in a spiking neuron network signal processing apparatus, said instructions configured to, when executed:
A computerized spiking neuron apparatus comprising one or more processors configured to execute computer program modules, wherein the computer program modules are configured to, when executed, cause the one or more processors to:
A computerized method of processing input stimulus by a spiking neuron network comprising first selectivity and second selectivity neurons, the method comprising:
Dependencies are inferred from the claim text.