Quantifying the separability of data classes in neural networks

Pupil Localisation and Eye Centre Estimation Using Machine Learning and Computer Vision

(2020) Wasiq Khan et al.   SENSORS

Will We Ever Have Conscious Machines?

(2020) Patrick Krauss et al.   Frontiers in Computational Neuroscience

Analysis of Structure and Dynamics in Three-Neuron Motifs

(2019) Patrick Krauss et al.   Frontiers in Computational Neuroscience

Weight statistics controls dynamics in recurrent neural networks

(2019) Patrick Krauss et al.   PLoS One

Recurrence Resonance” in Three-Neuron Motifs

(2019) Patrick Krauss et al.   Frontiers in Computational Neuroscience

Exploring a world of a thousand dimensions

(2019) Catalina A. Vallejos   NATURE BIOTECHNOLOGY

Visualizing structure and transitions in high-dimensional biological data

(2019) Kevin R. Moon et al.   NATURE BIOTECHNOLOGY

Analysis of Multichannel EEG Patterns During Human Sleep: A Novel Approach

(2018) Patrick Krauss et al.   Frontiers in Human Neuroscience

Artificial intelligence faces reproducibility crisis

(2018) Matthew Hutson   SCIENCE

A statistical method for analyzing and comparing spatiotemporal cortical activation patterns

(2018) Patrick Krauss et al.   Scientific Reports

A machine learning approach for engineering bulk metallic glass alloys

(2018) Logan Ward et al.   ACTA MATERIALIA

Machine learning for molecular and materials science

(2018) Keith T. Butler et al.   NATURE

Vector-based navigation using grid-like representations in artificial agents

(2018) Andrea Banino et al.   NATURE

Cognitive computational neuroscience

(2018) Nikolaus Kriegeskorte et al.   NATURE NEUROSCIENCE

Inverse molecular design using machine learning: Generative models for matter engineering

(2018) Benjamin Sanchez-Lengeling et al.   SCIENCE

High-performance medicine: the convergence of human and artificial intelligence

(2018) Eric J. Topol   NATURE MEDICINE

An Intelligent System for Spoken Term Detection That Uses Belief Combination

(2017) Wasiq Khan et al.   IEEE INTELLIGENT SYSTEMS

Why Does Deep and Cheap Learning Work So Well?

(2017) Henry W. Lin et al.   JOURNAL OF STATISTICAL PHYSICS

Artificial intelligence in medicine

(2017) Pavel Hamet et al.   METABOLISM-CLINICAL AND EXPERIMENTAL

Mastering the game of Go without human knowledge

(2017) David Silver et al.   NATURE

Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review

(2017) Waseem Rawat et al.   NEURAL COMPUTATION

Neuroscience-Inspired Artificial Intelligence

(2017) Demis Hassabis et al.   NEURON

The AI detectives

(2017) Paul Voosen   SCIENCE

Representational models: A common framework for understanding encoding, pattern-component, and representational-similarity analysis

(2017) Jörn Diedrichsen et al.   PLoS Computational Biology

Evaluating machine learning classification for financial trading: An empirical approach

(2016) Eduardo A. Gerlein et al.   EXPERT SYSTEMS WITH APPLICATIONS

Mastering the game of Go with deep neural networks and tree search

(2016) David Silver et al.   NATURE

Toward an Integration of Deep Learning and Neuroscience

(2016) Adam H. Marblestone et al.   Frontiers in Computational Neuroscience

Fast machine-learning online optimization of ultra-cold-atom experiments

(2016) P. B. Wigley et al.   Scientific Reports

Human-level control through deep reinforcement learning

(2015) Volodymyr Mnih et al.   NATURE

Deep learning

(2015) Yann LeCun et al.   NATURE

Deep Neural Networks: A New Framework for Modeling Biological Vision and Brain Information Processing

(2015) Nikolaus Kriegeskorte   Annual Review of Vision Science

A Toolbox for Representational Similarity Analysis

(2014) Hamed Nili et al.   PLoS Computational Biology

Representational Similarity Analysis Reveals Commonalities and Differences in the Semantic Processing of Words and Objects

(2013) B. J. Devereux et al.   JOURNAL OF NEUROSCIENCE

The NumPy Array: A Structure for Efficient Numerical Computation

(2011) Stéfan van der Walt et al.   COMPUTING IN SCIENCE & ENGINEERING

Machine learning in digital games: a survey

(2009) Leo Galway et al.   ARTIFICIAL INTELLIGENCE REVIEW