Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and other artificial intelligence (AI) models, learn to make accurate ...

Studies of neural decoding aim to identify what stimulus, event, or desired output elicits a particular pattern of neural activity.

High-speed cameras snap multiple face “probes” per second, before passing the results to a local neural network that distills these images into digital fingerprints.

This useful study shows that stimuli of a certain size elicit theta oscillations in V1 neurons both in spikes and local field potentials, and monkeys performing a dot detection task on these stimuli ...