A Conceptual Framework for Stochastic Neuromorphic Computing

Computing of neuromorphic materials: an emerging approach for bioengineering solutions

“…By firing spikes in response to particular characteristics or components of the signal, each neuron in the population contributes to the overall encoding. [191][192][193] The SNN can simultaneously encode many aspects or dimensions of the input signal by altering the activity of various neurons within the population. To provide richer representations of information in neuromorphic systems, several encoding strategies are frequently coupled.…”