The field of AI is notoriously filled with jargon. To better understand what is going on, here is a series of explainers, ...

Guo-Xing Miao, Professor at the University of Waterloo, guides us through programmable iontronic neural networks ...

Each neuron receives some input, does a little math, and then passes the output further down the network. Neurons in a neural network are grouped into layers, which can be broadly classified into ...

The brain's ability to process information is known to be supported by intricate connections between different neuron ...

The new silicon chip, which captures 70,000 plausible synaptic connections, enables scientists to read neural network activity ... Prize — it does not measure neuron activity in a parallel ...

Scientists have developed a new kind of laser-based artificial neuron that mimics a biological nerve cell. This artificial neuron could boost high-speed computing and artificial intelligence (AI ...

Unlike traditional neural networks, which require extensive training across multiple network layers, RC only trains the readout layer, typically through a simple linear regression process.

The research involved studying movement control in mice using a combination of optogenetics (controlling neural activity with ...

This study presents useful findings on the differences between male and hermaphrodite C. elegans connectomes and how they may result in changes in locomotory behavioural outputs. However, the study ...

The study presents a useful computational analysis of how the ratio between excitatory and inhibitory neural numbers affects coding capacity. The authors show that increasing the proportion of ...

Neural networks are built upon several key components that work together to process data and make predictions: A neural network's basic computational units (also called nodes). Each neuron receives ...