| Learning action-oriented models through active inference. | 0 | 0.34 | 2020 |
| Decreased directed functional connectivity in the psychedelic state. | 2 | 0.39 | 2020 |
| Measuring Integrated Information: Comparison of Candidate Measures in Theory and Simulation. | 3 | 0.40 | 2019 |
| Loss of consciousness is related to hyper-correlated gamma-band activity in anesthetized macaques and sleeping humans. | 1 | 0.36 | 2018 |
| Solved problems for Granger causality in neuroscience: A response to Stokes and Purdon. | 5 | 0.46 | 2018 |
| Rhythmic Influence of Top-Down Perceptual Priors in the Phase of Prestimulus Occipital Alpha Oscillations. | 2 | 0.39 | 2016 |
| Influence Of Wiring Cost On The Large-Scale Architecture Of Human Cortical Connectivity | 8 | 0.56 | 2014 |
| Granger causality analysis of fMRI BOLD signals is invariant to hemodynamic convolution but not downsampling. | 28 | 1.16 | 2013 |
| Decision-making under risk: A graph-based network analysis using functional MRI. | 3 | 0.49 | 2012 |
| Practical Measures Of Integrated Information For Time-Series Data | 12 | 1.23 | 2011 |
| Dopamine-Signaled Reward Predictions Generated by Competitive Excitation and Inhibition in a Spiking Neural Network Model. | 7 | 0.53 | 2011 |
| Causal Time Series Analysis of Functional Magnetic Resonance Imaging Data. | 0 | 0.34 | 2011 |
| Wiener–Granger Causality: A well established methodology | 94 | 3.94 | 2011 |
| Causal Time Series Analysis of Functional Magnetic Resonance Imaging Data | 9 | 0.58 | 2011 |
| Measuring autonomy and emergence via granger causality | 15 | 1.02 | 2010 |
| Measuring emergence via nonlinear Granger causality. | 14 | 0.94 | 2008 |
| Embodied models of delayed neural responses: Spatiotemporal categorization and predictive motor control in brain based devices | 5 | 0.78 | 2008 |
| Closing the Sensory-Motor Loop on Dopamine Signalled Reinforcement Learning | 2 | 0.39 | 2008 |
| Axioms, properties and criteria: Roles for synthesis in the science of consciousness | 2 | 0.54 | 2008 |
| Movement Strategies for Learning in Visual Recognition. | 0 | 0.34 | 2008 |
| Distinguishing Causal Interactions in Neural Populations | 20 | 1.45 | 2007 |
| Granger causality | 3 | 0.64 | 2007 |
| Simulations of simulations in evolutionary robotics | 1 | 0.36 | 2007 |
| Measuring autonomy by multivariate autoregressive modelling | 1 | 0.42 | 2007 |
| Models of consciousness | 2 | 0.73 | 2007 |
| Single-trial discrimination of truthful from deceptive responses during a game of financial risk using alpha-band MEG signals. | 1 | 0.54 | 2006 |
| Spatial navigation and causal analysis in a brain-based device modeling cortical-hippocampal interactions. | 34 | 2.00 | 2005 |
| Neurorobotic models in neuroscience and neuroinformatics | 5 | 0.78 | 2005 |
| Environment and Behavior Influence the Complexity of Evolved Neural Networks | 14 | 1.74 | 2004 |
| Texture discrimination by an autonomous mobile brain-based device with whiskers | 13 | 1.16 | 2004 |
| The View From Elsewhere: Perspectives on ALife Modeling | 14 | 2.06 | 2002 |
| Spatially Explicit Models of Forager Interference | 1 | 0.53 | 2001 |
| Modeling group foraging: individual suboptimality, interference, and a kind of matching | 10 | 2.13 | 2001 |
| Evolving Behavioural Choice: An Investigation into Herrnstein's Matching Law | 5 | 1.20 | 1999 |
| Noise and the Pursuit of Complexity: A Study in Evolutionary Robotics | 2 | 0.42 | 1998 |
