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 …

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 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 …

Fast speed and a high accuracy implementation of biological plausible neural networks are
vital key objectives to achieve new solutions to model, simulate and cure the brain 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 …

Neural networks, composed of many neurons and governed by complex interactions
between them, are a widely accepted formalism for modeling and exploring global dynamics …

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

One of the most sophisticated platforms for hosting intelligent systems is bio-inspired. This
study proposes pattern recognition hardware using a biologically inspired Spiking Neural …

The study, simulation, and implementation of neural behavior in the human brain are central
goals of neuromorphic engineering. By integrating various scientific fields, we present a …

Dopamine neurons play an essential role in terms of cognitive coordination and executive
functions, which has been investigated in the therapy of multiple psychiatric and …