A technical paper titled “Training neural networks with end-to-end optical backpropagation” was published by researchers at University of Oxford and Lumai Ltd. “Optics is an exciting route for the ...

Houston Methodist neuroscientists have developed a first-of-its-kind method to rapidly produce synchronized, human brain wave ...

Neural networks have emerged as powerful tools in the field of neutron spectrometry and dosimetry by offering non-linear, data‐driven approaches to reconstruct complex neutron energy spectra and ...

Songbird HVC sequences arise from a balance of ionic currents and structured inhibition, providing a mechanistic framework for understanding cortical sequence generation.

Unlike their more modern large language model counterparts, artificial neural networks require human input to learn and function. ANNs have been around since the 1950s. They started taking hold in ...