We present a brief historical and epistemological outline of investigations on the brain's
structure and functions. These investigations have mainly been based on the intermingling …

The integrate-and-fire (IF) model is the most widely used simple spiking neuron model in
neuromorphic computing as well as in artificial neural network algorithms. Here, we …

Reservoir computing (RC) is a relatively new machine-learning framework that uses an
abstract neural network model, called reservoir. The reservoir forms a complex system with …

Abstract Information processing in artificial neural networks is largely dependent on the
nature of neuron models. While commonly used models are designed for linear integration …

Background: Neurons have specialized structures that facilitate information transfer using
electrical and chemical signals. Within the perspective of neural computation, the neuronal …

Founded in 1996, Frontiers in Bioscience-Landmark celebrated its 25th Anniversary of
continuous publication in 2021. Starting from that year, the journal moved to a fully open …