The Scientist

Postdoc Portrait: Denis Turcu Explores How Neural Circuit Constraints Shape Brain Function

Allen Institute and University of Washington postdoctoral researcher Denis Turcu uses computational models to study how the ...
GitHub

PyHGF: A Neural Network Library for Predictive Coding

PyHGF is a Python library for creating and manipulating dynamic probabilistic networks for predictive coding. These networks approximate Bayesian inference by optimizing beliefs through the diffusion ...
PNAS

Dynamic tuning of neural stability for cognitive control

A key challenge for systems neuroscience is to understand the coexistence of robustness and sensitivity in neural networks. In particular, a neural system must be robust against perturbations to its ...
Frontiers

Calculation of alpha particle single-event spectra using a neural network

A neural network was trained to accurately predict the entire single-event specific energy spectra for use in alpha-particle microdosimetry calculations. Microdosimetry considers the stochastic nature ...
IEEE

Research on the Use of BIM Technology in Green Building Design Based on Neural Network Learning

Abstract: Neural networks have received a lot of attention in recent years. However, neural networks are rarely used in the construction industry, especially for the risk assessment of new projects ...
eLife

Self-organization of songbird neural sequences during social isolation

Behaviors emerge via a combination of experience and innate predispositions. As the brain matures, it undergoes major changes in cellular, network, and functional properties that can be due to sensory ...
Scientific Research Publishing

Leveraging Pima Dataset to Diabetes Prediction: Case Study of Deep Neural Network ()

Laboratory of Data Science and Digital Inclusion, Institut de Mathématiques et de Sciences Physiques, Université d’Abomey-Calavi, Abomey-Calavi, Bénin. Diabetes is a chronic disease. In 2019, it was ...
InfoQ

Building Neural Networks with TensorFlow.NET

TensorFlow is an open-source framework developed by Google scientists and engineers for numerical computing. TensorFlow.NET is a library that provides a .NET Standard binding for TensorFlow, allowing ...
Frontiers

Using the FA-NAR Dynamic Neural Network Model and Big Data to Monitor Dam Safety

In view of the dynamics of the dam safety monitoring data, the sensitivity to time and space, and the nonlinearity, it has been proposed to use the firefly algorithm to search to determine the delay ...
acm.org

Deep Learning for AI

Yoshua Bengio, Yann LeCun, and Geoffrey Hinton are recipients of the 2018 ACM A.M. Turing Award for breakthroughs that have made deep neural networks a critical component of computing. Research on ...
Scientific Research Publishing

Calibration Method of Magnetometer Based on BP Neural Network ()

Due to the influence of processing technology and environmental factors, there are errors in attitude measurement with the three-axis magnetometer, and the change of parameters during the operation of ...
Quanta Magazine

Symbolic Mathematics Finally Yields to Neural Networks

More than 70 years ago, researchers at the forefront of artificial intelligence research introduced neural networks as a revolutionary way to think about how the brain works. In the human brain, ...