Abstract Space biology research aims to understand fundamental spaceflight effects on
organisms, develop foundational knowledge to support deep space exploration and …

The computational neuroscience field has heavily concentrated on the modeling of neuronal
functions, largely ignoring other brain cells, including one type of glial cell, the astrocytes …

Neuromorphic computing is henceforth a major research field for both academic and
industrial actors. As opposed to Von Neumann machines, brain-inspired processors aim at …

A novel method of using the spiking neural networks (SNNs) and the electroencephalograph
(EEG) processing techniques to recognize emotion states is proposed in this paper. Three …

A large number of studies have shown that astrocytes can be combined with the presynaptic
terminals and postsynaptic spines of neurons to constitute a triple synapse via an …

A concept of biomorphic neuroprocessor that implements hardware spiking neural network
for traditional tasks of information processing and can simulate operation of brain cortical …

Recent studies have shown that biologically inspired Spiking Neural Networks (SNNs) has
potentials for the mobile robot controls. Based on SNNs, an autonomous learning paradigm …

This paper proposes a self-healing memristive network circuit, which simulates the
resilience mechanism of VTA DA neurons. The proposed memristive network circuit mainly …

Self-healing is increasingly becoming a promising approach to designing reliable digital
systems, and it refers to the ability of a system to detect faults or failures and fix them through …

Abstract Spiking Neural Networks (SNNs) are the new generation of artificial neural
networks that closely mimic the time encoding and information processing aspects of the …