A neuroanatomical minimal network model was revisited to elucidate the mechanism of salt concentration memory-dependent chemotaxis observed in Caenorhabditis elegans. C. elegans memorizes the salt ...

Harvard affiliates developed a silicon chip that successfully mapped more than 70,000 synaptic connections from 2,000 rat neurons — advancing a new recording technology to address existing limitations ...

Researchers have mapped over 70,000 synaptic connections in rat neurons using a silicon chip with 4,096 microhole electrodes, significantly advancing neuronal recording technology.

In a development for artificial intelligence, researchers have unveiled a 28×28 synaptic device array that promises to ...

Interrupting signals exchanged between tumors and the nervous system could become a critical pillar of cancer care ...

The SYNGAP1 gene, which supports the production of a protein called SynGAP (Synaptic Ras GTPase-Activating Protein), is known ...

Optical encryption involves securing data at the optical transport level of a network, which avoids slowing the overall system with additional hardware at the non-optical levels instead. This approach ...

This paper provides an overview of memristor device characteristics, models, synapse circuits, and neural network applications, especially for artificial neural networks and spiking neural networks.

The textbook meaning of an artificial neural network (ANN) is a deep learning model made up of neurons that emulate the structure of the human brain. These neurons are designed to mimic the way nerve ...

"We came up with the idea of training neural networks to recognize the incredibly fine details of the scrambled light patterns. By creating billions of complex connections, or synapses, within the ...

South Africa has eight major fibre network operators (FNOs) providing fibre-to-the-home (FTTH) connectivity to roughly 2.4 million households. MyBroadband recently asked the country’s top FNOs ...

making it suitable for neural synapses. In this article, we investigate the global exponential stabilization (GES) of phase-change inertial neural networks (PCINNs) with discrete and distributed ...