Abstract The Self-Organizing Map (SOM) algorithm has attracted an ever increasing amount
of interest among researches and practitioners in a wide variety of elds. The SOM and a …

The Handbook of Neural Computation is a practical, hands-on guide to the design and
implementation of neural networks used by scientists and engineers to tackle difficult and/or …

We develop a novel credit assignment algorithm for information processing with spiking
neurons without requiring feedback synapses. Specifically, we propose an event-driven …

This review motivates and synthesizes research efforts in neuroscience-inspired artificial
intelligence and biomimetic computing in terms of mortal computation. Specifically, we …

We develop a neuro-mimetic architecture, composed of spiking neuronal units, where
individual layers of neurons operate in parallel and adapt their synaptic efficacies without …

In recent years, there has been a rapid expansion in the field of nonlinear optics as weIl as
in the field of neural computing. Up to date, no one would doubt that nonlinear optics is one …

Bioinspired neuromorphic algorithms can process information more rapidly and more
accurately than conventional algorithms, in the attempt to achieve brain-like capacity and …

By implementing neuromorphic paradigms in processing visual information, machine
learning became crucial in an ever-increasing number of applications of our everyday lives …

Currently, lack of interpretability (or explainability) is one of the major drawbacks for artificial
intelligence (AI) models. When we intend to build a physical artificial intelligence (PAI) …

We have constructed an optical neural-network system with learning capability by using a
Pockels readout optical modulator. The system has a two-dimensional structure that permits …