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AssigneeQUALCOMM Incorporated
InventorsMichael-David Nakayoshi Canoy, Yinyin Liu, Anthony Sarah, Adrienne Milner
Estimating the term…
Methods and apparatus are provided for training a neural device having an artificial nervous system by modulating at least one training parameter during the training. One example method for training a neural device having an artificial nervous system generally includes observing the neural device in a training environment and modulating at least one training parameter based at least in part on the observing. For example, the training apparatus described herein may modify the neural device's internal learning mechanisms (e.g., spike rate, learning rate, neuromodulators, sensor sensitivity, etc.) and/or the training environment's stimuli (e.g., move a flame closer to the device, make the scene darker, etc.). In this manner, the speed with which the neural device is trained (i.e., the training rate) may be significantly increased compared to conventional neural device training systems.
A method for training a neural device having an artificial nervous system with an apparatus external to the neural device, comprising:
An apparatus for training a neural device having an artificial nervous system, comprising:
An apparatus for training a neural device having an artificial nervous system, comprising:
A non-transitory computer-readable medium for training a neural device having an artificial nervous system with an apparatus external to the neural device, the non-transitory computer-readable medium having instructions executable to:
A method for training a neural device having an artificial nervous system, comprising:
An apparatus having an artificial nervous system, comprising:
An apparatus having an artificial nervous system, comprising:
A non-transitory computer-readable medium for training a neural device having an artificial nervous system, the non-transitory computer-readable medium having code for:
Dependencies are inferred from the claim text.