Neuromorphic computing has come to refer to a variety of brain-inspired computers, devices,
and models that contrast the pervasive von Neumann computer architecture. This …

A striking difference between brain-inspired neuromorphic processors and current von
Neumann processor architectures is the way in which memory and processing is organized …

Implementing compact, low-power artificial neural processing systems with real-time on-line
learning abilities is still an open challenge. In this paper we present a full-custom mixed …

The further exploration of the neural mechanisms underlying the biological activities of the
human brain depends on the development of large-scale spiking neural networks (SNNs) …

Neuromorphic systems take inspiration from the principles of biological information
processing to form hardware platforms that enable the large-scale implementation of neural …

NeuroFlow is a scalable spiking neural network simulation platform for off-the-shelf high
performance computing systems using customizable hardware processors such as Field …

Spiking neural network (SNN) distinguish themselves from artificial neural network (ANN)
because of their inherent temporal processing and spike-based computations, enabling a …

We argue here that contemporary semiconductor computing technology poses a significant
if not insurmountable barrier to the emergence of any artificial general intelligence system …

This paper presents a massively parallel and scalable neuromorphic cortex simulator
designed for simulating large and structurally connected spiking neural networks, such as …

One of the main limitations preventing the realization of a successful dialogue between the
brain and a putative enabling device is the intricacy of brain signals. In this perspective …