This work establishes a valuable theoretical finding about how the spike timing dependence of inhibitory plasticity shapes recurrent network connectivity. The combination of theoretical analysis and ...

This paper puts forward a method using neural networks to minimize the Wasserstein distance between log signatures to reduce the target dimension of the ...

The team discovered that these regions are neither completely locked in sync nor entirely independent. Instead, they operate via a balanced dynamic where sparse inter-regional connections provide ...

Functionally analogous to biological generative models, these traveling waves allow the brain to infer sensory causes, ...

Abstract: Accurate estimation of battery parameters and state is significant for new energy electric vehicles. In this work, a novel online estimation method is proposed for a second-order equivalent ...

Researchers reviewed evidence on neural traveling waves and proposed that they serve as a computational framework in the ...

A study in mice suggests the brain does not rely on a single internal clock but can flexibly switch between shared and ...

Your brain has something surprising in common with the ocean: waves. Electrical activity washes over the brain's surface, ...

What's in this repository? This code uses four main scripts, described below, to train and run the Cambridge University Engineering Department (CUED) Acoustics Lab entry for the 2022 PhysioNet ...

"The stack of AI systems integrated into warfare are the subject of a lot of hype and a lot of mystique and it's rare for those making or deploying these systems to really break down how they actually ...

Abstract: Soft robots pose difficulties in terms of control, requiring novel strategies to effectively manipulate their compliant structures. Model-based approaches face challenges due to the high ...