This study presents useful findings on the differences between male and hermaphrodite C. elegans connectomes and how they may result in changes in locomotory behavioural outputs. However, the study ...

This project aims to develop a deep learning model for predicting the next word in a given sequence of words. The model is built using LSTM and GRU networks, which are well-suited for sequence ...

The best network switch will be a necessity for anyone looking to add more wired connections and gain greater network speeds. One of the biggest issues we've found with even the best routers and ...

Abstract: Given the significant challenges of low resource utilization, load imbalance, and difficulties in meeting quality of service requirements in Flying Ad Hoc Networks (FANETs) routing protocols ...

that are learnable by a geometric neural network. In experiments on macaque and rat brain recordings, the scientists used MARBLE to show that when different animals used the same mental strategy to ...

Traditional methods, however, struggle with the vast number of tunable parameters and lack scalability in diverse network scenarios. To address these challenges, this paper introduces an ...

Unlike traditional electron microscopy, which only visualizes synapses, this method also measures connection strength, providing deeper insight into brain network function. The chip mimics patch-clamp ...