Apparatus and method for partial evaluation of synaptic updates based on system events
AssigneeBrain Corporation
InventorsEugene M. Izhikevich, Filip Piekniewski, Jayram Moorkanikara Nageswaran
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AssigneeBrain Corporation
InventorsEugene M. Izhikevich, Filip Piekniewski, Jayram Moorkanikara Nageswaran
Estimating the term…
Apparatus and methods for partial evaluation of synaptic updates in neural networks. In one embodiment, a pre-synaptic unit is connected to a several post synaptic units via communication channels. Information related to a plurality of post-synaptic pulses generated by the post-synaptic units is stored by the network in response to a system event. Synaptic channel updates are performed by the network using the time intervals between a pre-synaptic pulse, which is being generated prior to the system event, and at least a portion of the plurality of the post synaptic pulses. The system event enables removal of the information related to the portion of the post-synaptic pulses from the storage device. A shared memory block within the storage device is used to store data related to post-synaptic pulses generated by different post-synaptic nodes. This configuration enables memory use optimization of post-synaptic units with different firing rates.
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A computerized spiking network apparatus, comprising:
A method of operating a communications channel coupled to a post-synaptic unit in a computerized spiking neuronal network, the method comprising:
A method of optimizing operation of a shared storage of computerized network apparatus comprising at least one node coupled to a channel, the method comprising:
Dependencies are inferred from the claim text.