Anil K. Seth

Orcid: 0000-0002-1421-6051

According to our database1, Anil K. Seth authored at least 63 papers between 1998 and 2023.

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Bibliography

2023
Hybrid predictive coding: Inferring, fast and slow.
PLoS Comput. Biol., 2023

2022
Trial-by-trial predictions of subjective time from human brain activity.
PLoS Comput. Biol., 2022

Psychedelics and schizophrenia: Distinct alterations to Bayesian inference.
NeuroImage, 2022

A Predictive Processing Model of Episodic Memory and Time Perception.
Neural Comput., 2022

Hybrid Predictive Coding: Inferring, Fast and Slow.
CoRR, 2022

2021
A Mathematical Walkthrough and Discussion of the Free Energy Principle.
CoRR, 2021

Predictive Coding: a Theoretical and Experimental Review.
CoRR, 2021

Understanding the origin of information-seeking exploration in probabilistic objectives for control.
CoRR, 2021

Neural Kalman Filtering.
CoRR, 2021

2020
Learning action-oriented models through active inference.
PLoS Comput. Biol., 2020

Reconciling emergences: An information-theoretic approach to identify causal emergence in multivariate data.
PLoS Comput. Biol., 2020

Decreased directed functional connectivity in the psychedelic state.
NeuroImage, 2020

Investigating the Scalability and Biological Plausibility of the Activation Relaxation Algorithm.
CoRR, 2020

Relaxing the Constraints on Predictive Coding Models.
CoRR, 2020

Activation Relaxation: A Local Dynamical Approximation to Backpropagation in the Brain.
CoRR, 2020

Control as Hybrid Inference.
CoRR, 2020

Reinforcement Learning as Iterative and Amortised Inference.
CoRR, 2020

Reinforcement Learning through Active Inference.
CoRR, 2020

On the Relationship Between Active Inference and Control as Inference.
Proceedings of the Active Inference - First International Workshop, 2020

Scaling Active Inference.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019
Measuring Integrated Information: Comparison of Candidate Measures in Theory and Simulation.
Entropy, 2019

Inferring the temporal structure of directed functional connectivity in neural systems: some extensions to Granger causality.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Sensorimotor contingency modulates visual awareness of virtual 3D objects.
Proceedings of the 2019 Conference on Artificial Life, 2019

2018
Loss of consciousness is related to hyper-correlated gamma-band activity in anesthetized macaques and sleeping humans.
NeuroImage, 2018

Solved problems for Granger causality in neuroscience: A response to Stokes and Purdon.
NeuroImage, 2018

Hallucination Machine: Simulating Altered Perceptual Phenomenology with a Deep-Dream Virtual Reality platform.
Proceedings of the 2018 Conference on Artificial Life, 2018

2016
Rhythmic Influence of Top-Down Perceptual Priors in the Phase of Prestimulus Occipital Alpha Oscillations.
J. Cogn. Neurosci., 2016

2014
Directed Spectral Methods.
Proceedings of the Encyclopedia of Computational Neuroscience, 2014

Influence of Wiring Cost on the Large-Scale Architecture of Human Cortical Connectivity.
PLoS Comput. Biol., 2014

2013
Granger causality analysis of fMRI BOLD signals is invariant to hemodynamic convolution but not downsampling.
NeuroImage, 2013

2012
The Enactive Torch: A New Tool for the Science of Perception.
IEEE Trans. Haptics, 2012

Decision-making under risk: A graph-based network analysis using functional MRI.
NeuroImage, 2012

2011
Practical Measures of Integrated Information for Time-Series Data.
PLoS Comput. Biol., 2011

Wiener-Granger Causality: A well established methodology.
NeuroImage, 2011

Causal Time Series Analysis of Functional Magnetic Resonance Imaging Data.
Proceedings of the Neural Information Processing Systems (NIPS) Mini-Symposium on Causality in Time Series, 2011

Dopamine-Signaled Reward Predictions Generated by Competitive Excitation and Inhibition in a Spiking Neural Network Model.
Frontiers Comput. Neurosci., 2011

2010
Measuring Autonomy and Emergence via Granger Causality.
Artif. Life, 2010

2009
Consciousness and Complexity.
Proceedings of the Encyclopedia of Complexity and Systems Science, 2009

Explanatory Correlates of Consciousness: Theoretical and Computational Challenges.
Cogn. Comput., 2009

Don't Throw the Baby Iguana Out With the Bathwater.
Adapt. Behav., 2009

2008
Embodied models of delayed neural responses: Spatiotemporal categorization and predictive motor control in brain based devices.
Neural Networks, 2008

Axioms, properties and criteria: Roles for synthesis in the science of consciousness.
Artif. Intell. Medicine, 2008

Closing the Sensory-Motor Loop on Dopamine Signalled Reinforcement Learning.
Proceedings of the From Animals to Animats 10, 2008

Measuring emergence via nonlinear Granger causality.
Proceedings of the Eleventh International Conference on the Synthesis and Simulation of Living Systems, 2008

Movement Strategies for Learning in Visual Recognition.
Proceedings of the Eleventh International Conference on the Synthesis and Simulation of Living Systems, 2008

2007
Granger causality.
Scholarpedia, 2007

Models of consciousness.
Scholarpedia, 2007

Distinguishing Causal Interactions in Neural Populations.
Neural Comput., 2007

Measuring Autonomy by Multivariate Autoregressive Modelling.
Proceedings of the Advances in Artificial Life, 9th European Conference, 2007

Simulations of Simulations in Evolutionary Robotics.
Proceedings of the Advances in Artificial Life, 9th European Conference, 2007

2006
Single-trial discrimination of truthful from deceptive responses during a game of financial risk using alpha-band MEG signals.
NeuroImage, 2006

2005
Neurorobotic models in neuroscience and neuroinformatics.
Neuroinformatics, 2005

Spatial navigation and causal analysis in a brain-based device modeling cortical-hippocampal interactions.
Neuroinformatics, 2005

2004
Active Sensing of Visual and Tactile Stimuli by Brain-based Devices.
Int. J. Robotics Autom., 2004

Environment and Behavior Influence the Complexity of Evolved Neural Networks.
Adapt. Behav., 2004

Texture Discrimination by an Autonomous Mobile Brain-based Device with Whiskers.
Proceedings of the 2004 IEEE International Conference on Robotics and Automation, 2004

2002
The View From Elsewhere: Perspectives on ALife Modeling.
Artif. Life, 2002

Distinguishing adaptive from non-adaptive evolution using Ashby's law of requisite variety.
Proceedings of the 2002 Congress on Evolutionary Computation, 2002

2001
Modeling Group Foraging: Individual Suboptimality, Interference, and a Kind of Matching.
Adapt. Behav., 2001

Spatially Explicit Models of Forager Interference.
Proceedings of the Advances in Artificial Life, 6th European Conference, 2001

2000
On the relations between behaviour, mechanism, and environment : explorations in artificial evolution.
PhD thesis, 2000

1999
Evolving Behavioural Choice: An Investigation into Herrnstein's Matching Law.
Proceedings of the Advances in Artificial Life, 5th European Conference, 1999

1998
Noise and the Pursuit of Complexity: A Study in Evolutionary Robotics.
Proceedings of the Evolutionary Robotics, First European Workshop, 1998


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