Noise and the Pursuit of Complexity: A Study in Evolutionary Robotics. - Anil K. Seth (EvoRobot, 1998)

Evolving Behavioural Choice: An Investigation into Herrnstein's Matching Law. - Anil K. Seth (ECAL, 1999)

On the relations between behaviour, mechanism, and environment : explorations in artificial evolution. - Anil K. Seth (2000)

Spatially Explicit Models of Forager Interference. - Anil K. Seth (ECAL, 2001)

Modeling Group Foraging: Individual Suboptimality, Interference, and a Kind of Matching. - Anil K. Seth (Adapt. Behav., 2001)

Distinguishing adaptive from non-adaptive evolution using Ashby's law of requisite variety. - Anil K. Seth (IEEE Congress on Evolutionary Computation, 2002)

The View From Elsewhere: Perspectives on ALife Modeling. - Michael Wheeler; Seth Bullock; Ezequiel A. Di Paolo; Jason Noble; Mark A. Bedau; Philip Husbands; Simon Kirby; Anil K. Seth (Artif. Life, 2002)

Texture Discrimination by an Autonomous Mobile Brain-based Device with Whiskers. - Anil K. Seth; Jeffrey L. McKinstry; Gerald M. Edelman; Jeffrey L. Krichmar (ICRA, 2004)

Environment and Behavior Influence the Complexity of Evolved Neural Networks. - Anil K. Seth; Gerald M. Edelman (Adapt. Behav., 2004)

Active Sensing of Visual and Tactile Stimuli by Brain-based Devices. - Anil K. Seth; Jeffrey L. McKinstry; Gerald M. Edelman; Jeffrey L. Krichmar (Int. J. Robotics Autom., 2004)

Spatial navigation and causal analysis in a brain-based device modeling cortical-hippocampal interactions. - Jeffrey L. Krichmar; Anil K. Seth; Douglas A. Nitz; Jason Fleischer; Gerald M. Edelman (Neuroinformatics, 2005)

Neurorobotic models in neuroscience and neuroinformatics. - Anil K. Seth; Olaf Sporns; Jeffrey L. Krichmar (Neuroinformatics, 2005)

Single-trial discrimination of truthful from deceptive responses during a game of financial risk using alpha-band MEG signals. - Anil K. Seth; John R. Iversen; Gerald M. Edelman (NeuroImage, 2006)

Simulations of Simulations in Evolutionary Robotics. - Edgar Bermudez Contreras; Anil K. Seth (ECAL, 2007)

Measuring Autonomy by Multivariate Autoregressive Modelling. - Anil K. Seth (ECAL, 2007)

Distinguishing Causal Interactions in Neural Populations. - Anil K. Seth; Gerald M. Edelman (Neural Comput., 2007)

Models of consciousness. - Anil K. Seth (Scholarpedia, 2007)

Granger causality. - Anil K. Seth (Scholarpedia, 2007)

Movement Strategies for Learning in Visual Recognition. - Edgar Bermudez Contreras; Andrew Philippides; Anil K. Seth (ALIFE, 2008)

Measuring emergence via nonlinear Granger causality. - Anil K. Seth (ALIFE, 2008)

Closing the Sensory-Motor Loop on Dopamine Signalled Reinforcement Learning. - Paul Chorley; Anil K. Seth (SAB, 2008)

Axioms, properties and criteria: Roles for synthesis in the science of consciousness. - Robert W. Clowes; Anil K. Seth (Artif. Intell. Medicine, 2008)

Embodied models of delayed neural responses: Spatiotemporal categorization and predictive motor control in brain based devices. - Jeffrey L. McKinstry; Anil K. Seth; Gerald M. Edelman; Jeffrey L. Krichmar (Neural Networks, 2008)

Don't Throw the Baby Iguana Out With the Bathwater. - Anil K. Seth (Adapt. Behav., 2009)

Explanatory Correlates of Consciousness: Theoretical and Computational Challenges. - Anil K. Seth (Cogn. Comput., 2009)

Consciousness and Complexity. - Anil K. Seth; Gerald M. Edelman (Encyclopedia of Complexity and Systems Science, 2009)

Measuring Autonomy and Emergence via Granger Causality. - Anil K. Seth (Artif. Life, 2010)

Dopamine-Signaled Reward Predictions Generated by Competitive Excitation and Inhibition in a Spiking Neural Network Model. - Paul Chorley; Anil K. Seth (Frontiers Comput. Neurosci., 2011)

Causal Time Series Analysis of Functional Magnetic Resonance Imaging Data. - Alard Roebroeck; Anil K. Seth; Pedro A. Valdés-Sosa (NIPS Mini-Symposium on Causality in Time Series, 2011)

Wiener-Granger Causality: A well established methodology. - Steven L. Bressler; Anil K. Seth (NeuroImage, 2011)

Practical Measures of Integrated Information for Time-Series Data. - Adam B. Barrett; Anil K. Seth (PLoS Comput. Biol., 2011)

Decision-making under risk: A graph-based network analysis using functional MRI. - Ludovico Minati; Marina Grisoli; Anil K. Seth; Hugo D. Critchley (NeuroImage, 2012)

The Enactive Torch: A New Tool for the Science of Perception. - Tom Froese; Marek McGann; William Bigge; Adam Spiers; Anil K. Seth (IEEE Trans. Haptics, 2012)

Granger causality analysis of fMRI BOLD signals is invariant to hemodynamic convolution but not downsampling. - Anil K. Seth; Paul Chorley; Lionel C. Barnett (NeuroImage, 2013)

Influence of Wiring Cost on the Large-Scale Architecture of Human Cortical Connectivity. - Dávid Samu; Anil K. Seth; Thomas Nowotny (PLoS Comput. Biol., 2014)

Directed Spectral Methods. - Adam B. Barrett; Anil K. Seth (Encyclopedia of Computational Neuroscience, 2014)

Rhythmic Influence of Top-Down Perceptual Priors in the Phase of Prestimulus Occipital Alpha Oscillations. - Maxine T. Sherman; Ryota Kanai; Anil K. Seth; Rufin VanRullen (J. Cogn. Neurosci., 2016)

Hallucination Machine: Simulating Altered Perceptual Phenomenology with a Deep-Dream Virtual Reality platform. - Keisuke Suzuki; Warrick Roseboom; David Schwartzman; Anil K. Seth (ALIFE, 2018)

Solved problems for Granger causality in neuroscience: A response to Stokes and Purdon. - Lionel C. Barnett; Adam B. Barrett; Anil K. Seth (NeuroImage, 2018)

Loss of consciousness is related to hyper-correlated gamma-band activity in anesthetized macaques and sleeping humans. - Michal Bola; Adam B. Barrett; Andrea Pigorini; Lino Nobili; Anil K. Seth; Artur Marchewka (NeuroImage, 2018)

Sensorimotor contingency modulates visual awareness of virtual 3D objects. - Keisuke Suzuki; David Schwartzman; Rafael Augusto; Anil K. Seth (ALIFE, 2019)

Inferring the temporal structure of directed functional connectivity in neural systems: some extensions to Granger causality. - Lionel C. Barnett; Anil K. Seth (SMC, 2019)

Measuring Integrated Information: Comparison of Candidate Measures in Theory and Simulation. - Pedro A. M. Mediano; Anil K. Seth; Adam B. Barrett (Entropy, 2019)

Scaling Active Inference. - Alexander Tschantz; Manuel Baltieri; Anil K. Seth; Christopher L. Buckley (IJCNN, 2020)

On the Relationship Between Active Inference and Control as Inference. - Beren Millidge; Alexander Tschantz; Anil K. Seth; Christopher L. Buckley (IWAI, 2020)

Reinforcement Learning through Active Inference. - Alexander Tschantz; Beren Millidge; Anil K. Seth; Christopher L. Buckley (CoRR, 2020)

Reinforcement Learning as Iterative and Amortised Inference. - Beren Millidge; Alexander Tschantz; Anil K. Seth; Christopher L. Buckley (CoRR, 2020)

Control as Hybrid Inference. - Alexander Tschantz; Beren Millidge; Anil K. Seth; Christopher L. Buckley (CoRR, 2020)

Activation Relaxation: A Local Dynamical Approximation to Backpropagation in the Brain. - Beren Millidge; Alexander Tschantz; Anil K. Seth; Christopher L. Buckley (CoRR, 2020)

Relaxing the Constraints on Predictive Coding Models. - Beren Millidge; Alexander Tschantz; Anil K. Seth; Christopher L. Buckley (CoRR, 2020)

Investigating the Scalability and Biological Plausibility of the Activation Relaxation Algorithm. - Beren Millidge; Alexander Tschantz; Anil K. Seth; Christopher L. Buckley (CoRR, 2020)

Decreased directed functional connectivity in the psychedelic state. - Lionel C. Barnett; Suresh D. Muthukumaraswamy; Robin L. Carhart-Harris; Anil K. Seth (NeuroImage, 2020)

Reconciling emergences: An information-theoretic approach to identify causal emergence in multivariate data. - Fernando E. Rosas; Pedro A. M. Mediano; Henrik J. Jensen; Anil K. Seth; Adam B. Barrett; Robin L. Carhart-Harris; Daniel Bor (PLoS Comput. Biol., 2020)

Learning action-oriented models through active inference. - Alexander Tschantz; Anil K. Seth; Christopher L. Buckley (PLoS Comput. Biol., 2020)

Neural Kalman Filtering. - Beren Millidge; Alexander Tschantz; Anil K. Seth; Christopher L. Buckley (CoRR, 2021)

Understanding the origin of information-seeking exploration in probabilistic objectives for control. - Beren Millidge; Alexander Tschantz; Anil K. Seth; Christopher L. Buckley (CoRR, 2021)

Predictive Coding: a Theoretical and Experimental Review. - Beren Millidge; Anil K. Seth; Christopher L. Buckley (CoRR, 2021)

A Mathematical Walkthrough and Discussion of the Free Energy Principle. - Beren Millidge; Anil K. Seth; Christopher L. Buckley (CoRR, 2021)

Hybrid Predictive Coding: Inferring, Fast and Slow. - Alexander Tschantz; Beren Millidge; Anil K. Seth; Christopher L. Buckley (CoRR, 2022)

A Predictive Processing Model of Episodic Memory and Time Perception. - Zafeirios Fountas; Anastasia Sylaidi; Kyriacos Nikiforou; Anil K. Seth; Murray Shanahan; Warrick Roseboom (Neural Comput., 2022)

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

Trial-by-trial predictions of subjective time from human brain activity. - Maxine T. Sherman; Zafeirios Fountas; Anil K. Seth; Warrick Roseboom (PLoS Comput. Biol., 2022)

Hybrid predictive coding: Inferring, fast and slow. - Alexander Tscshantz; Beren Millidge; Anil K. Seth; Christopher L. Buckley (PLoS Comput. Biol., 2023)

Mapping of Subjective Accounts into Interpreted Clusters (MOSAIC): Topic Modelling and LLM applied to Stroboscopic Phenomenology. - Romy Beauté; David J. Schwartzman; Guillaume Dumas; Jennifer Crook; Fiona Macpherson; Adam B. Barrett; Anil K. Seth (CoRR, 2025)