Researchers have developed photonic computing chips that overcome key limitations for a type of neural network known as a ...

A two-chip photonic neuromorphic system performs real time spiking reinforcement learning using only light, achieving GPU-class energy efficiency.

Photonics is gaining momentum as a platform for high-speed AI computing. Researchers in Singapore have demonstrated a passive, ultrafast, and integration-ready all-optical nonlinear activation ...

What if the thermal noise that hinders the efficiency of both classical and quantum computers could, instead, be used as a ...

The results include a comparison between two different basis functions for temporal selectivity and how these generate different predictions for the dynamics of neural populations. The conclusions are ...

Figure 1. Diagram showing an electrically active cell in a neuronal culture and the process of recording its transmembrane potential for further analysis Neurons are cells that enable the brain to ...

A new bioengineered neuronal circuit board "BioConNet" allows scientists to artificially engineer human brain-like wiring at scale and can be used to engineer any possible circuit. The fully ...

An EEG (electroencephalogram) is a painless test that uses small sensors placed on the scalp to measure the brain's electrical activity. It provides a real-time readout of brain "waves"—rhythms ...

Researchers applied the mathematical theory of synchronization to clarify how recurrent neural networks (RNNs) generate predictions, revealing a certain map, based on the generalized synchronization, ...

Neuroscientists propose a new theory of brain development where cells organize based on lineage rather than long-range signals.