Researchers have developed a learning mechanism that uses the natural variability of neural activity—often dismissed as ...

In the brain, what matters is not only whether a signal reaches a nerve cell, but also how long its chemical gate remains ...

Learning is often thought to require a brain. But learning is a broad concept that does not necessarily depend on neurons.

A new study has used a type of machine learning called a neural network to reveal how different kinds of training can change ...

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 ...

(a) Conventional neuron models used in reservoir computing. Artificial neural networks (ANNs) comprise of neuron models that sum up weighted inputs, filter the value through an activation function, ...

Researchers at Trinity College Dublin have discovered that microglia – the main immune cells of the brain – play a critical role in maintaining the stability of neuronal networks in Alzheimer's ...

A network made from ultracold atoms and photons functioned as an associative memory, recovering stored patterns even when ...

A new MIT study reveals that the brain's language network remains robust and unchanged in older adults, even as executive functions and memory decline.

Remote-scanning light-sheet microscopy captured voltage signals from thousands of zebrafish neurons, revealing spatial ...