In recent years, deep learning has revolutionized the field of machine learning, for computer
vision in particular. In this approach, a deep (multilayer) artificial neural network (ANN) is …

Sharp wave ripples (SPW‐Rs) represent the most synchronous population pattern in the
mammalian brain. Their excitatory output affects a wide area of the cortex and several …

Exploiting the excellent electronic properties of two-dimensional (2D) materials to fabricate
advanced electronic circuits is a major goal for the semiconductor industry,. However, most …

In order to understand how the mammalian neocortex is performing computations, two
things are necessary; we need to have a good understanding of the available neuronal …

The field of Deep Learning (DL) has seen a remarkable series of developments with
increasingly accurate and robust algorithms. However, the increase in performance has …

This work is aimed to study experimental and theoretical approaches for searching effective
local training rules for unsupervised pattern recognition by high-performance memristor …

Anatomical studies demonstrate that excitatory connections in cortex are not uniformly
distributed across a network but instead exhibit clustering into groups of highly connected …

In the past decade, the cell-type specific connectivity and activity of local cortical networks
have been characterized experimentally to some detail. In parallel, modeling has been …

The Neural Simulation Tool NEST is a computer program for simulating large
heterogeneous networks of point neurons or neurons with a small number of compartments …

The combination of spiking neural networks and event-based vision sensors holds the
potential of highly efficient and high-bandwidth optical flow estimation. This paper presents …