Neural action potentials (APs) are difficult to interpret as signal encoders and/or
computational primitives. Their relationships with stimuli and behaviors are obscured by the …

One challenging issue in speaker identification (SID) is to achieve noise-robust
performance. Humans can accurately identify speakers, even in noisy environments. We can …

Evolutionary graph theory (EGT) investigates the Moran birth–death process constrained by
graphs. Its two principal goals are to find the fixation probability and time for some initial …

Many models of evolution are stochastic processes, where some quantity of interest
fluctuates randomly in time. One classic example is the Moranbirth–death process, where …

In natural data, the class and intensity of stimuli are correlated. Current machine learning
algorithms ignore this ubiquitous statistical property of stimuli, usually by requiring …

Along sensory pathways, representations of environmental stimuli become increasingly
sparse and expanded. If additionally the feed-forward synaptic weights are structured …