INCREASED DYNAMIC RANGE ARTIFICIAL NEURON NETWORK APPARATUS AND METHODS

摘要

Apparatus and methods for processing inputs by one or more neurons of a network. The neuron(s) may generate spikes based on receipt of multiple inputs. Latency of spike generation may be determined based on an input magnitude. Inputs may be scaled using for example a non-linear concave transform. Scaling may increase neuron sensitivity to lower magnitude inputs, thereby improving latency encoding of small amplitude inputs. The transformation function may be configured compatible with existing non-scaling neuron processes and used as a plug-in to existing neuron models. Use of input scaling may allow for an improved network operation and reduce task simulation time.

主权项

1. A method of adapting an extant logical network to provide desired functionality, the method comprising:
obtaining a logical entity having a rule for processing of a plurality of inputs into a node of the logical network; placing the logical entity in communication with the node; receiving one or more inputs of the plurality of inputs; and causing the network to operate in accordance with the desired functionality based at least on a transformation of the one or more inputs by the logical entity.