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 ...

A new study reveals that astrocytes—star-shaped support cells traditionally viewed as passive partners of neurons—play a ...

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) A traditional fully connected neural network. The layers are connected by black lines corresponding to weights. The neurons separately realize the summation and nonlinear activation functions ...

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 ...

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, ...

Implantable bioelectronics are vital to neuroscience, neurological therapies, and brain-machine interfaces. They serve as indispensable interfaces that enable the communication between biological ...

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

Researchers have unveiled a new generation of photonic computing chips capable of performing real‑time learning and decision‑making using only light-based processes. Photonic chips deliver real‑time ...