This study presents valuable computational findings on the neural basis of learning new motor memories without interfering with previously learned behaviours using recurrent neural networks. The ...

A hybrid approach to AI is powering Amazon’s Rufus shopping assistant and cutting-edge warehouse robots.

To this end, this article proposes a novel deep recurrent neural architecture, called generative-regressing recurrent neural network (GRRNN), which surpasses competing ones in causal forecasting ...

This paper presents an efficient hardware implementation of the recently proposed Optimised Deep Event-driven Spiking Neural Network Architecture (ODESA). ODESA is the first network to have end-to-end ...

Discover a smarter way to grow with Learn with Jay, your trusted source for mastering valuable skills and unlocking your full potential. Whether you're aiming to advance your career, build better ...

Several significant research studies related to Preventing Phishing Attacks for Cyber Threat Mitigation have been reviewed ...

🎯 About the Project CANNs (Continuous Attractor Neural Networks) is a Python library specifically designed for continuous attractor neural network research. Built on modern scientific computing ...