Temporal winner takes all spiking neuron network sensory processing apparatus and methods
US-9070039-B2 · Jun 30, 2015 · US
US9208432B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9208432-B2 |
| Application number | US-201313830398-A |
| Country | US |
| Kind code | B2 |
| Filing date | Mar 14, 2013 |
| Priority date | Jun 1, 2012 |
| Publication date | Dec 8, 2015 |
| Grant date | Dec 8, 2015 |
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Apparatus and methods for learning and training in neural network-based devices. In one implementation, the devices each comprise multiple spiking neurons, configured to process sensory input. In one approach, alternate heterosynaptic plasticity mechanisms are used to enhance learning and field diversity within the devices. The selection of alternate plasticity rules is based on recent post-synaptic activity of neighboring neurons. Apparatus and methods for simplifying training of the devices are also disclosed, including a computer-based application. A data representation of the neural network may be imaged and transferred to another computational environment, effectively copying the brain. Techniques and architectures for achieve this training, storing, and distributing these data representations are also disclosed.
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What is claimed: 1. A non-transitory computer readable medium configured to store at least one computer program thereon, the computer program comprising a plurality of instructions configured to when executed: establish a data connection to a synaptic device; receive status information from the synaptic device; issue a command to the synaptic device, the synaptic device being configured to execute an action based at least in part on the command; receive feedback input from a…
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