It is well established in psychology that humans conceptualize emotions by features known as valence (the degree of pleasantness or unpleasantness) and arousal (the intensity of bodily reactions, such ...

To enable more accurate estimation of connectivity, we propose a data-driven and theoretically grounded framework for optimally designing perturbation inputs, based on formulating the neural model as ...

Australian researchers have built an ultra-compact artificial intelligence (AI) chip that is able to make calculations using ...

A single session of physical exercise can spawn a boost of neural activity in brain networks that underlie learning and ...

This video explores how neural networks evolved from early ideas about the brain into the foundation of modern deep learning. From Rosenblatt’s perceptron to GPUs and backpropagation, it traces the ...

The field of systems neuroscience increasingly seeks to understand how distributed neural populations interact to support complex cognitive functions such ...

A team of researchers at the University of California, Los Angeles (UCLA) has introduced a novel framework for monitoring ...

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 ...

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

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

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

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 ...