Probabilistic Models and Generative Neural Networks: Towards an Unified Framework for Modeling Normal and Impaired Neurocognitive Functions

Universal resilience patterns in complex networks

(2016) Jianxi Gao et al.   NATURE

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

(2016) David Silver et al.   NATURE

Cognitive Network Neuroscience

(2015) John D. Medaglia et al.   JOURNAL OF COGNITIVE NEUROSCIENCE

Deep Neural Networks Reveal a Gradient in the Complexity of Neural Representations across the Ventral Stream

(2015) U. Guclu et al.   JOURNAL OF NEUROSCIENCE

Probabilistic machine learning and artificial intelligence

(2015) Zoubin Ghahramani   NATURE

Human-level control through deep reinforcement learning

(2015) Volodymyr Mnih et al.   NATURE

Deep learning

(2015) Yann LeCun et al.   NATURE

The Neural Representation of Sequences: From Transition Probabilities to Algebraic Patterns and Linguistic Trees

(2015) Stanislas Dehaene et al.   NEURON

The restless brain: how intrinsic activity organizes brain function

(2015) M. E. Raichle   PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES

Human-level concept learning through probabilistic program induction

(2015) B. M. Lake et al.   SCIENCE

Number skills are maintained in healthy ageing

(2014) Marinella Cappelletti et al.   COGNITIVE PSYCHOLOGY

Neural Networks and Neuroscience-Inspired Computer Vision

(2014) David Daniel Cox et al.   CURRENT BIOLOGY

Deep Supervised, but Not Unsupervised, Models May Explain IT Cortical Representation

(2014) Seyed-Mahdi Khaligh-Razavi et al.   PLoS Computational Biology

Whatever next? Predictive brains, situated agents, and the future of cognitive science

(2013)   BEHAVIORAL AND BRAIN SCIENCES

Global and regional burden of stroke during 1990–2010: findings from the Global Burden of Disease Study 2010

(2013) Valery L Feigin et al.   LANCET

Structural and Functional Brain Networks: From Connections to Cognition

(2013) H.-J. Park et al.   SCIENCE

Resting brains never rest: computational insights into potential cognitive architectures

(2013) Gustavo Deco et al.   TRENDS IN NEUROSCIENCES

Bayesian Computation Emerges in Generic Cortical Microcircuits through Spike-Timing-Dependent Plasticity

(2013) Bernhard Nessler et al.   PLoS Computational Biology

Charles Bonnet Syndrome: Evidence for a Generative Model in the Cortex?

(2013) David P. Reichert et al.   PLoS Computational Biology

Paying Attention through Eye Movements: A Computational Investigation of the Premotor Theory of Spatial Attention

(2012) Marco Casarotti et al.   JOURNAL OF COGNITIVE NEUROSCIENCE

Emergence of a 'visual number sense' in hierarchical generative models

(2012) Ivilin Stoianov et al.   NATURE NEUROSCIENCE

Multistability and metastability: understanding dynamic coordination in the brain

(2012) J. A. S. Kelso   PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES

Theory and Simulation in Neuroscience

(2012) W. Gerstner et al.   SCIENCE

Complementary neural representations for faces and words: A computational exploration

(2011) David C. Plaut et al.   COGNITIVE NEUROPSYCHOLOGY

Bridging the gap between physiology and behavior: Evidence from the sSoTS model of human visual attention.

(2011) Eirini Mavritsaki et al.   PSYCHOLOGICAL REVIEW

How to Grow a Mind: Statistics, Structure, and Abstraction

(2011) J. B. Tenenbaum et al.   SCIENCE

Probabilistic Inference in General Graphical Models through Sampling in Stochastic Networks of Spiking Neurons

(2011) Dejan Pecevski et al.   PLoS Computational Biology

Neural Dynamics as Sampling: A Model for Stochastic Computation in Recurrent Networks of Spiking Neurons

(2011) Lars Buesing et al.   PLoS Computational Biology

The free-energy principle: a unified brain theory?

(2010) Karl Friston   NATURE REVIEWS NEUROSCIENCE

States versus Rewards: Dissociable Neural Prediction Error Signals Underlying Model-Based and Model-Free Reinforcement Learning

(2010) Jan Gläscher et al.   NEURON

Statistically optimal perception and learning: from behavior to neural representations

(2010) József Fiser et al.   TRENDS IN COGNITIVE SCIENCES

Large-scale brain networks in cognition: emerging methods and principles

(2010) Steven L. Bressler et al.   TRENDS IN COGNITIVE SCIENCES

Complex brain networks: graph theoretical analysis of structural and functional systems

(2009) Ed Bullmore et al.   NATURE REVIEWS NEUROSCIENCE

On the biological plausibility of grandmother cells: Implications for neural network theories in psychology and neuroscience.

(2009) Jeffrey S. Bowers   PSYCHOLOGICAL REVIEW

The Brain's Default Network

(2008) Randy L. Buckner et al.   Annals of the New York Academy of Sciences

Bayesian surprise attracts human attention

(2008) Laurent Itti et al.   VISION RESEARCH

The Dynamic Brain: From Spiking Neurons to Neural Masses and Cortical Fields

(2008) Gustavo Deco et al.   PLoS Computational Biology

Bayesian Spiking Neurons I: Inference

(2007) Sophie Deneve   NEURAL COMPUTATION

Optimized voxel-based morphometry in children with developmental dyscalculia

(2007) S. Rotzer et al.   NEUROIMAGE