Similar spatial patterns of neural coding of category selectivity in FFA and VWFA under different attention conditions

Source URL: vision.psych.ac.cn

Clinical Science, 2329–2340 doi: CS20160686 Genetic analysis of rare coding mutations of CELSR1–3 in congenital heart and neural tube defects in Chinese people Xiaojin Qiao*†1 , Yahui Liu*†1 ,

Source URL: idm.fudan.edu.cn

Signal Modeling: From Convolutional Sparse Coding to Convolutional Neural Networks Vardan Papyan The Computer Science Department Technion – Israel Institute of technology

Source URL: vardanp.cswp.cs.technion.ac.il

A Bayesian model for identifying hierarchically organised states in neural population activity Patrick Putzky1,2,3 , Florian Franzen1,2,3 , Giacomo Bassetto1,3 , Jakob H. Macke1,3 1 Max Planck Institute for Biological Cy

Source URL: www.mackelab.org

• Computational neuroscience
• Statistics
• Neuroscience
• Statistical theory
• Neural networks
• Bioinformatics
• Artificial neural network
• Bayesian network
• Neural coding
• Variational Bayesian methods
• Bayesian inference
• Hidden Markov model

Berkeley summer course in mining and modeling of neuroscience data July 11-22, 2016 Redwood Center for Theoretical Neuroscience, UC Berkeley Organizers: Fritz Sommer, Bruno Olshausen & Jeff Teeters (HWNI, UC Berkeley)

Source URL: crcns.org

• Neuroscience
• Nervous system
• Computational neuroscience
• Knowledge
• Cognitive neuroscience
• Neural networks
• Cybernetics
• Neural coding
• Helen Wills Neuroscience Institute
• Statistics
• Neuroinformatics
• Coding

Computational Intelligence for Decoding Brain’s Motor Cortical Functions Jennie Si, Ph.D. () Professor, School of Electrical, Computer and Energy Engineering Graduate Faculty of the School of Biological and H

Source URL: www.conference123.org

• Neuroscience
• Computational neuroscience
• Nervous system
• Neural networks
• Cognitive science
• Artificial neural networks
• Computational statistics
• Biological neural network
• Brain
• Neural coding
• Neural decoding
• Neural engineering

Low-Complexity Coding and Decoding Sepp Hochreiter and Jurgen Schmidhuber Technische Universitat Munchen, 80290 Munchen, Germany and IDSIA, Corso Elvezia 36, CH-6900-Lugano, Switzerland Abstract. We present a novel

Source URL: www.bioinf.jku.at

• Artificial neural networks
• Applied mathematics
• Machine learning
• Statistics
• Factorial code
• Sepp Hochreiter
• Backpropagation
• Competitive learning
• Self-organizing map
• Autoencoder

www.nature.com/scientificreports OPEN No rapid audiovisual recalibration in adults on the autism spectrum

Source URL: win.pisavisionlab.org

• Nervous system
• Neuroscience
• Sensory systems
• Perception
• Autism
• Neurological disorders
• Neurology
• Sensory processing disorder
• Multisensory integration
• Sensory processing
• Neural coding
• Neural adaptation

Empirical models of spiking in neural populations ¨ Lars Busing Gatsby Computational Neuroscience Unit University College London, UK

Source URL: www.gatsby.ucl.ac.uk

• Neuroscience
• Nervous system
• Computational neuroscience
• Neural networks
• Neural coding
• Neural decoding
• Generalized linear model
• Neural ensemble
• Neuron

Predictive Coding of Dynamical Variables in Balanced Spiking Networks Martin Boerlin1, Christian K. Machens2, Sophie Dene`ve1* 1 Group for Neural Theory, De´partement d’E´tudes Cognitives, E´cole Normale Supe´rieur

Source URL: www.machenslab.org

• Neuroscience
• Computational neuroscience
• Nervous system
• Neural networks
• Biology
• Artificial neural networks
• Neural coding
• Neuron
• Synaptic weight
• Spiking neural network
• Biological neural network
• Action potential