Articles

Sparse connectivity enables efficient information processing in cortex-like artificial neural networks

• Rieke Fruengel
• Marcel Oberlaender

Modeling regulatory cascades using Artificial Neural Networks: the case of transcriptional regulatory networks shaped during the yeast stress response

in Computational Genomics

• Maria E. Manioudaki
• Panayiota Poirazi

A Semi-supervised Learning-Based Diagnostic Classification Method Using Artificial Neural Networks

in Quantitative Psychology and Measurement

• Kang Xue
• Laine P. Bradshaw

Sparse Computation in Adaptive Spiking Neural Networks

in Neuromorphic Engineering

• Davide Zambrano
• Roeland Nusselder
• H. Steven Scholte
• Sander M. Bohté

Using Local Convolutional Neural Networks for Genomic Prediction

in Statistical Genetics and Methodology

• Torsten Pook
• Jan Freudenthal
• Arthur Korte
• Henner Simianer

How can artificial neural networks approximate the brain?

in Cognitive Science

• Feng Shao
• Zheng Shen

Efficient Processing of Spatio-Temporal Data Streams With Spiking Neural Networks

in Neuromorphic Engineering

• Alexander Kugele
• Thomas Pfeil
• Michael Pfeiffer
• Elisabetta Chicca

insideOut: A Bio-Inspired Machine Learning Approach to Estimating Posture in Robots Driven by Compliant Tendons

• Daniel A. Hagen
• Ali Marjaninejad
• Gerald E. Loeb
• Francisco J. Valero-Cuevas

Extreme learning Kalman filter for short-term wind speed prediction

in Smart Grids

• Hairong Wang

Implementing Signature Neural Networks with Spiking Neurons

• José Luis Carrillo-Medina
• Roberto Latorre

A Novel Prognostic Score Based on Artificial Intelligence in Hepatocellular Carcinoma: A Long-Term Follow-Up Analysis

in Gastrointestinal Cancers: Hepato Pancreatic Biliary Cancers

• Xiaoli Liu
• Xinhui Wang
• Lihua Yu
• Yixin Hou
• Yuyong Jiang
• Xianbo Wang
• Junyan Han
• Zhiyun Yang

Spiking neural networks fine-tuning for brain image segmentation

in Neuromorphic Engineering

• Ye Yue
• Marc Baltes
• Nidal Abuhajar
• Tao Sun
• Avinash Karanth
• Charles D. Smith
• Trevor Bihl
• Jundong Liu

Short-Term Wind Power Forecasting Using Mixed Input Feature-Based Cascade-connected Artificial Neural Networks

in Smart Grids

• Qin Chen
• Komla Agbenyo Folly

Designing a set of criteria for evaluating artificial neural networks trained with physics-based data to replicate molecular dynamics and other particle method trajectories

in Computational Nanotechnology

• Alessio Alexiadis

Toward Reflective Spiking Neural Networks Exploiting Memristive Devices

• Valeri A. Makarov
• Sergey A. Lobov
• Sergey Shchanikov
• Alexey Mikhaylov
• Viktor B. Kazantsev

Exploring the structure of the digital economy through blockchain technology and mitigating adverse environmental effects with the aid of artificial neural networks

in Big Data, AI, and the Environment

• Tengwei Cai
• Zexin Hong