Diffusive intracellular and extracellular ions induce a gradient electromagnetic field that
regulates membrane potential, and energy injection from external stimuli breaks the energy …

Over the past decade, Deep Artificial Neural Networks (DNNs) have become the state-of-the-
art algorithms in Machine Learning (ML), speech recognition, computer vision, natural …

Biological neurons can receive inputs and capture a variety of external stimuli, which can be
encoded and transmitted as different electric signals. Thus, the membrane potential is …

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 …

The neuron can be called the main cell of a nervous system that can transmit messages from
one neuron to another neuron or another cell through electrical signals. In neuromorphic …

Recent research has shown that a glial cell of astrocyte underpins a self-repair mechanism
in the human brain, where spiking neurons provide direct and indirect feedbacks to …

The accurate implementation of biological neural networks, which is one of the important
areas of research in the field of neuromorphic, can be studied in the case of diseases …

Neurons are the basic blocks in the Central Nervous System (CNS). Simulation and
hardware realization of these blocks are vital in neuromorphic engineering. This paper …

The advance in conventional silicon based semiconductor industry is now becoming
indeterminacy as it still along the road of Moore's Law and concomitant problems associated …

Artificial intelligence computing adapted from biology is a suitable platform for the
development of intelligent machines by imitating the functional mechanisms of the nervous …