Neuronal action potentials or spikes provide a long-range, noise-resistant means of
communication between neurons. As point processes single spikes contain little information …

Various hypotheses of information representation in brain, referred to as neural codes, have
been proposed to explain the information transmission between neurons. Neural coding …

The ever-increasing volume of complex data poses significant challenges to conventional
sequential global processing methods, highlighting their inherent limitations. This …

Due to the ability to implement customized topology, FPGA is increasingly used to deploy
SNNs in both embedded and high-performance applications. In this paper, we survey state …

Cognitive electrophysiology is a subfield of neuroscience that focused on linking M/EEG
data to aspects of cognition and the neurophysiological processes that produce them. This …

The output of neocortical layer 5 pyramidal cells (L5PCs) is expressed by a train of single
spikes with intermittent bursts of multiple spikes at high frequencies. The bursts are the result …

This paper presents a novel approach to neuromorphic audio processing by integrating the
strengths of Spiking Neural Networks (SNNs), Transformers, and high-performance …

Many types of neurons and excitable cells could intrinsically generate bursting activity, even
in an isolated case, which plays a vital role in neuronal signaling and synaptic plasticity. In …

Neuronal spiking is commonly recorded by invasive sharp microelectrodes, whereas
standard noninvasive macroapproaches (eg, electroencephalography [EEG] and …

Multiple measures have been developed to quantify the similarity between two spike trains.
These measures have been used for the quantification of the mismatch between neuron …