The authors used a Bayesian modeling framework to fit behavior and serotonin neuron activity to reward history across multiple timescales. A key goal was to distinguish value coding from other ...

The human visual system provides us with a rich and meaningful percept of the world, transforming retinal signals into visuo-semantic representations. For a model of these representations, here we ...

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 ...

Electrostatic interactions are fundamental to the structure, dynamics, and function of biomolecules, with broad applications in protein–ligand binding, enzymatic catalysis, and nucleic acid regulation ...

[1] F. Scarselli, M. Gori, A.C. Tsoi, M. Hagenbuchner, and G. Monfardini. The graph neural network model. IEEE Transactions on Neural Networks, 20(1):61 80, 2009.

Abstract: Accurate global ocean surface wind speed estimation is crucial for weather forecasting and maritime transportation. Traditional retrieval methods based on Global Navigation Satellite System ...

Today’s PCs don’t have to be so powerful to get strong performance out of games, and it’s mostly due to occasionally derided but increasingly ubiquitous AI upscaling. For those of us who dream of ...

The initiative aims to modernise the GSM-R core network of the Netherlands’ national railway system. Credit: Bert e Boer/Shutterstock.com. Nokia has received a contract from Dutch rail infrastructure ...

A team of astronomers led by Michael Janssen (Radboud University, The Netherlands) has trained a neural network with millions of synthetic black hole data sets. Based on the network and data from the ...

Neurotech companies have access to some of users’ most sensitive data — and few regulations on what they can do with it. Neurotech companies have access to some of users’ most sensitive data — and ...