Spiking neural networks (SNNs) are inspired by information processing in biology, where
sparse and asynchronous binary signals are communicated and processed in a massively …

How natural speech is represented in the auditory cortex constitutes a major challenge for
cognitive neuroscience. Although many single-unit and neuroimaging studies have yielded …

Abstract Resistor (R), Inductor (L) and Capacitor (C) are electronic components used to
evaluate the effects of joule heat, magnetic field and electric field respectively. In …

Inspired by the photoelectric effect, a phototube is incorporated into a simple neural circuit,
and then the output voltage and dynamics become sensitive to external illumination within a …

The memristor is a nonlinear electronic nanodevice with incredible biomimetic
characteristics generally used by neurologists, more specifically in neuromorphics, to design …

The transmission and encoding of information in the brain has been the subject of much
research. The aim is to improve biophysical functions and to design reliable artificial …

Sensory systems do not work in isolation; instead, they show interactions that are specifically
uncovered during sensory loss. To identify and characterize these interactions, we …

Efficient sensory coding implies that populations of neurons should represent information-
rich aspects of a signal with little redundancy. Recent studies have shown that neural …

Plasticity studies suggest that behavioral relevance can change the cortical processing of
trained or conditioned sensory stimuli. However, whether this occurs in the context of natural …

Neurons can transmit information about sensory stimuli via their firing rate, spike latency, or
by the occurrence of complex spike patterns. Identifying which aspects of the neural …