The demand for fast and energy efficient computation is steadily increasing due to the development of technologies such as machine learning and artificial intelligence 1. Classical approaches, which ...

Researchers discover that the GPR3 receptor acts as an immediate-early gene to jumpstart neuron and synapse development.

(a) Schematic diagram of a biological neural network and (b) circuit schematic of an artificial neural network implemented in hardware using an artificial neuromorphic device. (c) Experimental results ...

As a step in the architectural design of a quantum processing or sensing system with control and signaling, an attempt is made at putting in parallel functional properties of the random flows between ...

Researchers have developed a cutting-edge technique that uses RNA “barcodes” to map how neurons connect, capturing thousands of links with single-synapse precision. The method transforms brain mapping ...

In order for large-scale artificial neural network hardware to become practical in the future, it is essential to integrate artificial neuron and synaptic devices, and it is necessary to reduce mass ...

USC researchers built artificial neurons that replicate real brain processes using ion-based diffusive memristors. These devices emulate how neurons use chemicals to transmit and process signals, ...

A technical paper titled “3D Neuromorphic Hardware with Single Thin-Film Transistor Synapses Over Single Thin-Body Transistor Neurons by Monolithic Vertical Integration” was published by researchers ...

Shedding light on how the brain fine-tunes its wiring during learning, a new study finds that different dendritic segments of a single neuron follow distinct rules. The findings challenge the idea ...