The representation of individual memories in a recurrent neural network can be efficiently differentiated using chaotic recurrent dynamics.

Learn how backpropagation works by building it from scratch in Python! This tutorial explains the math, logic, and coding behind training a neural network, helping you truly understand how deep ...

MIT’s Recursive Language Models rethink AI memory by treating documents like searchable environments, enabling models to ...

This important study employs a closed-loop, theta-phase-specific optogenetic manipulation of medial septal parvalbumin-expressing neurons in rats and reports that disrupting theta-timescale ...