Anil K. Seth

ORCID

Publication Activity (10 Years)

Years Active: 1998-2023
Publications (10 Years): 29

Top Venues

University of Sussex, UK (PHD)

Education History

University of Sussex, UK

PHD

Publications

Alexander Tscshantz, Beren Millidge, Anil K. Seth, Christopher L. Buckley
Hybrid predictive coding: Inferring, fast and slow. PLoS Comput. Biol. 19 (8) (2023)
Hardik Rajpal, Pedro A. M. Mediano, Fernando E. Rosas, Christopher B. Timmermann, Stefan Brugger, Suresh D. Muthukumaraswamy, Anil K. Seth, Daniel Bor, Robin L. Carhart-Harris, Henrik J. Jensen
Psychedelics and schizophrenia: Distinct alterations to Bayesian inference. NeuroImage 263 (2022)
Alexander Tschantz, Beren Millidge, Anil K. Seth, Christopher L. Buckley
Hybrid Predictive Coding: Inferring, Fast and Slow. CoRR (2022)
Maxine T. Sherman, Zafeirios Fountas, Anil K. Seth, Warrick Roseboom
Trial-by-trial predictions of subjective time from human brain activity. PLoS Comput. Biol. 18 (7) (2022)
Zafeirios Fountas, Anastasia Sylaidi, Kyriacos Nikiforou, Anil K. Seth, Murray Shanahan, Warrick Roseboom
A Predictive Processing Model of Episodic Memory and Time Perception. Neural Comput. 34 (7) (2022)
Beren Millidge, Alexander Tschantz, Anil K. Seth, Christopher L. Buckley
Understanding the origin of information-seeking exploration in probabilistic objectives for control. CoRR (2021)
Beren Millidge, Anil K. Seth, Christopher L. Buckley
Predictive Coding: a Theoretical and Experimental Review. CoRR (2021)
Beren Millidge, Anil K. Seth, Christopher L. Buckley
A Mathematical Walkthrough and Discussion of the Free Energy Principle. CoRR (2021)
Beren Millidge, Alexander Tschantz, Anil K. Seth, Christopher L. Buckley
Neural Kalman Filtering. CoRR (2021)
Beren Millidge, Alexander Tschantz, Anil K. Seth, Christopher L. Buckley
Reinforcement Learning as Iterative and Amortised Inference. CoRR (2020)
Beren Millidge, Alexander Tschantz, Anil K. Seth, Christopher L. Buckley
Activation Relaxation: A Local Dynamical Approximation to Backpropagation in the Brain. CoRR (2020)
Beren Millidge, Alexander Tschantz, Anil K. Seth, Christopher L. Buckley
Relaxing the Constraints on Predictive Coding Models. CoRR (2020)
Lionel C. Barnett, Suresh D. Muthukumaraswamy, Robin L. Carhart-Harris, Anil K. Seth
Decreased directed functional connectivity in the psychedelic state. NeuroImage 209 (2020)
Alexander Tschantz, Anil K. Seth, Christopher L. Buckley
Learning action-oriented models through active inference. PLoS Comput. Biol. 16 (4) (2020)
Alexander Tschantz, Beren Millidge, Anil K. Seth, Christopher L. Buckley
Control as Hybrid Inference. CoRR (2020)
Beren Millidge, Alexander Tschantz, Anil K. Seth, Christopher L. Buckley
On the Relationship Between Active Inference and Control as Inference. CoRR (2020)
Beren Millidge, Alexander Tschantz, Anil K. Seth, Christopher L. Buckley
Investigating the Scalability and Biological Plausibility of the Activation Relaxation Algorithm. CoRR (2020)
Beren Millidge, Alexander Tschantz, Anil K. Seth, Christopher L. Buckley
On the Relationship Between Active Inference and Control as Inference. IWAI (2020)
Alexander Tschantz, Manuel Baltieri, Anil K. Seth, Christopher L. Buckley
Scaling Active Inference. IJCNN (2020)
Fernando E. Rosas, Pedro A. M. Mediano, Henrik J. Jensen, Anil K. Seth, Adam B. Barrett, Robin L. Carhart-Harris, Daniel Bor
Reconciling emergences: An information-theoretic approach to identify causal emergence in multivariate data. PLoS Comput. Biol. 16 (12) (2020)
Alexander Tschantz, Beren Millidge, Anil K. Seth, Christopher L. Buckley
Reinforcement Learning through Active Inference. CoRR (2020)
Keisuke Suzuki, David Schwartzman, Rafael Augusto, Anil K. Seth
Sensorimotor contingency modulates visual awareness of virtual 3D objects. ALIFE (2019)
Alexander Tschantz, Manuel Baltieri, Anil K. Seth, Christopher L. Buckley
Scaling active inference. CoRR (2019)
Lionel C. Barnett, Anil K. Seth
Inferring the temporal structure of directed functional connectivity in neural systems: some extensions to Granger causality. SMC (2019)
Pedro A. M. Mediano, Anil K. Seth, Adam B. Barrett
Measuring Integrated Information: Comparison of Candidate Measures in Theory and Simulation. Entropy 21 (1) (2019)
Michal Bola, Adam B. Barrett, Andrea Pigorini, Lino Nobili, Anil K. Seth, Artur Marchewka
Loss of consciousness is related to hyper-correlated gamma-band activity in anesthetized macaques and sleeping humans. NeuroImage 167 (2018)
Keisuke Suzuki, Warrick Roseboom, David Schwartzman, Anil K. Seth
Hallucination Machine: Simulating Altered Perceptual Phenomenology with a Deep-Dream Virtual Reality platform. ALIFE (2018)
Lionel C. Barnett, Adam B. Barrett, Anil K. Seth
Solved problems for Granger causality in neuroscience: A response to Stokes and Purdon. NeuroImage 178 (2018)
Maxine T. Sherman, Ryota Kanai, Anil K. Seth, Rufin VanRullen
Rhythmic Influence of Top-Down Perceptual Priors in the Phase of Prestimulus Occipital Alpha Oscillations. J. Cogn. Neurosci. 28 (9) (2016)
Dávid Samu, Anil K. Seth, Thomas Nowotny
Influence of Wiring Cost on the Large-Scale Architecture of Human Cortical Connectivity. PLoS Comput. Biol. 10 (4) (2014)
Anil K. Seth, Paul Chorley, Lionel C. Barnett
Granger causality analysis of fMRI BOLD signals is invariant to hemodynamic convolution but not downsampling. NeuroImage 65 (2013)
Tom Froese, Marek McGann, William Bigge, Adam Spiers, Anil K. Seth
The Enactive Torch: A New Tool for the Science of Perception. IEEE Trans. Haptics 5 (4) (2012)
Ludovico Minati, Marina Grisoli, Anil K. Seth, Hugo D. Critchley
Decision-making under risk: A graph-based network analysis using functional MRI. NeuroImage 60 (4) (2012)
Steven L. Bressler, Anil K. Seth
Wiener-Granger Causality: A well established methodology. NeuroImage 58 (2) (2011)
Adam B. Barrett, Anil K. Seth
Practical Measures of Integrated Information for Time-Series Data. PLoS Comput. Biol. 7 (1) (2011)
Paul Chorley, Anil K. Seth
Dopamine-Signaled Reward Predictions Generated by Competitive Excitation and Inhibition in a Spiking Neural Network Model. Frontiers Comput. Neurosci. 5 (2011)
Alard Roebroeck, Anil K. Seth, Pedro A. Valdés-Sosa
Causal Time Series Analysis of Functional Magnetic Resonance Imaging Data. NIPS Mini-Symposium on Causality in Time Series (2011)
Anil K. Seth
Measuring Autonomy and Emergence via Granger Causality. Artif. Life 16 (2) (2010)
Anil K. Seth
Explanatory Correlates of Consciousness: Theoretical and Computational Challenges. Cogn. Comput. 1 (1) (2009)
Anil K. Seth
Don't Throw the Baby Iguana Out With the Bathwater. Adapt. Behav. 17 (4) (2009)
Robert W. Clowes, Anil K. Seth
Axioms, properties and criteria: Roles for synthesis in the science of consciousness. Artif. Intell. Medicine 44 (2) (2008)
Edgar Bermudez Contreras, Andrew Philippides, Anil K. Seth
Movement Strategies for Learning in Visual Recognition. ALIFE (2008)
Jeffrey L. McKinstry, Anil K. Seth, Gerald M. Edelman, Jeffrey L. Krichmar
Embodied models of delayed neural responses: Spatiotemporal categorization and predictive motor control in brain based devices. Neural Networks 21 (4) (2008)
Anil K. Seth
Measuring emergence via nonlinear Granger causality. ALIFE (2008)
Paul Chorley, Anil K. Seth
Closing the Sensory-Motor Loop on Dopamine Signalled Reinforcement Learning. SAB (2008)
Anil K. Seth
Granger causality. Scholarpedia 2 (7) (2007)
Anil K. Seth
Models of consciousness. Scholarpedia 2 (1) (2007)
Edgar Bermudez Contreras, Anil K. Seth
Simulations of Simulations in Evolutionary Robotics. ECAL (2007)
Anil K. Seth
Measuring Autonomy by Multivariate Autoregressive Modelling. ECAL (2007)
Anil K. Seth, Gerald M. Edelman
Distinguishing Causal Interactions in Neural Populations. Neural Comput. 19 (4) (2007)
Anil K. Seth, John R. Iversen, Gerald M. Edelman
Single-trial discrimination of truthful from deceptive responses during a game of financial risk using alpha-band MEG signals. NeuroImage 32 (1) (2006)
Jeffrey L. Krichmar, Anil K. Seth, Douglas A. Nitz, Jason Fleischer, Gerald M. Edelman
Spatial navigation and causal analysis in a brain-based device modeling cortical-hippocampal interactions. Neuroinformatics 3 (3) (2005)
Anil K. Seth, Olaf Sporns, Jeffrey L. Krichmar
Neurorobotic models in neuroscience and neuroinformatics. Neuroinformatics 3 (3) (2005)
Anil K. Seth, Gerald M. Edelman
Environment and Behavior Influence the Complexity of Evolved Neural Networks. Adapt. Behav. 12 (1) (2004)
Anil K. Seth, Jeffrey L. McKinstry, Gerald M. Edelman, Jeffrey L. Krichmar
Active Sensing of Visual and Tactile Stimuli by Brain-based Devices. Int. J. Robotics Autom. 19 (4) (2004)
Anil K. Seth, Jeffrey L. McKinstry, Gerald M. Edelman, Jeffrey L. Krichmar
Texture Discrimination by an Autonomous Mobile Brain-based Device with Whiskers. ICRA (2004)
Anil K. Seth
Distinguishing adaptive from non-adaptive evolution using Ashby's law of requisite variety. IEEE Congress on Evolutionary Computation (2002)
Michael Wheeler, Seth Bullock, Ezequiel A. Di Paolo, Jason Noble, Mark A. Bedau, Philip Husbands, Simon Kirby, Anil K. Seth
The View From Elsewhere: Perspectives on ALife Modeling. Artif. Life 8 (1) (2002)
Anil K. Seth
Modeling Group Foraging: Individual Suboptimality, Interference, and a Kind of Matching. Adapt. Behav. 9 (2) (2001)
Anil K. Seth
Spatially Explicit Models of Forager Interference. ECAL (2001)
Anil K. Seth
Evolving Behavioural Choice: An Investigation into Herrnstein's Matching Law. ECAL (1999)
Anil K. Seth
Noise and the Pursuit of Complexity: A Study in Evolutionary Robotics. EvoRobots (1998)

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Publication Activity (10 Years)

Top Topics

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Anil K. Seth