International Business Machines Corporation
Self-adjusting threshold for synaptic activity in neural networks

Abstract:

Self-adjusting thresholds for synaptic activity in neural networks are provided. In various embodiments, for each of a plurality of neurons within an artificial neural network, an overlap value is determined corresponding to active inputs connected to the neuron via synapses having non-zero synaptic weights. A count of those of the plurality of neurons whose overlap exceeds an activation threshold of the neural network is determined. The count is compared to a predetermined neuronal activity target. The activation threshold of the neural network is adjusted to approach the predetermined neuronal activity target.