Talks / Outreach

Murray Shanahan

(Up to 2018; for an up-to-date list see my Google Scholar page)


Shanahan, M., The Technological Singularity, MIT Press (2015).

Shanahan, M., Embodiment and the Inner Life: Cognition and Consciousness in the Space of Possible Minds, Oxford University Press (2010). Full text

Shanahan, M., Solving the Frame Problem, MIT Press (1997). Contents

Shanahan, M. & Southwick, R.W., Search, Inference and Dependencies in Artificial Intelligence, Ellis Horwood (1989).

Journals (and other highlights)

Fountas, Z. & Shanahan, M., The Role of Cortical Oscillations in a Spiking Neural Network Model of the Basal Ganglia, PLoS ONE 12(12), e0189109 (2017).

Tax, T.M.S., Mediano, P.A.M. & Shanahan, M., The Partial Information Decomposition of Generative Neural Network Models, Entropy 19(9), 474 (2017).

Nikiforou, K., Mediano, P.A.M & Shanahan, M., An Investigation of the Dynamical Transitions in Harmonically Driven Random Networks of Firing-Rate Neurons, Cognitive Computation 9(3), 351-363 (2017).

Shanahan, M., Conscious Exotica, Aeon Magazine (2016).

Garnelo, M., Arulkumaran, K. & Shanahan, M., Towards Deep Symbolic Reinforcement Learning, arXiv preprint: 1609.05518 (2016).

Mediano, P.A.M, Farah, J.C. & Shanahan, M., Integrated Information and Metastability in Systems of Coupled Oscillators, arXiv preprint: 1606.08313 (2016).

Shanahan, M., Consciousness as Integrated Perception, Motivation, Cognition, and Action: Commentary on Klein & Barron on Insect Experience, Animal Sentience 2016.122 (2016).

Hellyer, P., Scott, G., Shanahan, M., Sharp, D.J. & Leech, R., Cognitive Flexibility Through Metastable Neural Dynamics is Disrupted by Damage to the Structural Connectome, Journal of Neuroscience, vol. 35(24) (2015), 9050-9063.

Váša, F., Shanahan, M., Hellyer, P.J., Scott, G., Cabral, J. & Leech, R., Effects of Lesions on Synchrony and Metastability in Cortical Networks, Neuroimage, vol. 118 (2015), 456-467.

Carhart-Harris, R.L., Leech, R., Hellyer, P.J., Shanahan, M., Feilding, A., Tagliazucchi, E., Chialvo, D. & Nutt, D., The Entropic Brain: A Theory of Conscious States Informed by Neuroimaging Research with Psychedelic Drugs, Frontiers in Human Neuroscience, vol. 8 (2014), article 20.

Hellyer, P.J., Shanahan, M., Scott, G., Wise, R.J.S., Sharp, D.J. & Leech, R., The Control of Global Brain Dynamics: Opposing Actions of Frontoparietal Control and Default Mode Networks on Attention, Journal of Neuroscience, vol. 34(2) (2014), 451-461.

Shanahan, M., Bingman, V., Shimizu, T., Wild, M. & Güntürkün, O.,
Large-Scale Network Organisation in the Avian Forebrain: A Connectivity Matrix and Theoretical Analysis, Frontiers in Computational Neuroscience, vol. 7 (2013), article 89.
Download the pigeon connectivity matrix here: Matlab version, Text version. If you use the data, please cite the paper.
Bhowmik, D. & Shanahan, M., Metastability and Inter-Band Frequency Modulation in Networks of Oscillating Spiking Neuron Populations, PLoS ONE, vol. 8(4) (2013), e62234.

Wildie, M. & Shanahan, M.,
Metastability and Chimera States in Modular Delay and Pulse-coupled Oscillator Networks, Chaos, vol. 22 (2012), 043131.

Shanahan, M.,
The Brain's Connective Core and its Role in Animal Cognition, Philosophical Transactions of the Royal Society B, vol. 367(1603) (2012), pp. 2704-2714.

Fidjeland, A., Gamez, D., Shanahan, M. & Lazdins, E., Three Tools for the Real-Time Simulation of Embodied Spiking Neural Networks Using GPUs, Neuroinformatics (2012).

Shanahan, M., Satori Before Singularity, Journal of Consciousness Studies, vol. 19(7-8) (2012), pp. 87-102.

Shanahan, M. & Wildie, M., Knotty-Centrality: Finding the Connective Core of a Complex Network, PLoS ONE, vol. 7(5) (2012), e36579.

Wildie, M. & Shanahan, M., Establishing Communication Between Neuronal Populations Through Competitive Entrainment, Frontiers in Computational Neuroscience, vol. 5 (2012), article 62.

Shanahan, M., Metastable Chimera States in Community-Structured Oscillator Networks, Chaos, vol. 20 (2010), 013108. Abstract
Make your own metastable chimera states: Matlab Code. If you use the code, please cite the paper.
Shanahan, M., Localized Phenomenology: A Recurrent Debate Cognitive Neuroscience, vol. 1(3) (2010), pp. 228-229.

Connor, D. & Shanahan, M., A Computational Model of a Global Neuronal Workspace with Stochastic Connections, Neural Networks, vol. 23 (2010), pp. 1139-1154.

Shanahan, M., Dynamical Complexity in Small-World Networks of Spiking Neurons, Physical Review E, vol. 78 (2008), 041924. Abstract

Shanahan, M., A Spiking Neuron Model of Cortical Broadcast and Competition, Consciousness and Cognition, vol. 17 (2008), pp. 288-303. Abstract  Supplementary Note

Bouganis, A. & Shanahan, M., A Vision Based Intelligent System for Packing 2-D Irregular Shapes, IEEE Transactions on Automation Science and Engineering, vol. 4 (2007), 382-394.

Ozen, S., Bouganis, A. & Shanahan, M., A Fast Evaluation Criterion for the Recognition of Occluded Shapes, Robotics and Autonomous Systems, vol. 55 (2007), pp. 741-749.

Shanahan, M. & Baars, B.J., Global Workspace Theory Emerges Unscathed, Behavioral and Brain Sciences, vol. 30(5-6) (2007), pp. 524-525. Abstract

Shanahan, M., A Cognitive Architecture that Combines Internal Simulation with a Global Workspace, Consciousness and Cognition, vol. 15 (2006), pp. 433-449. Abstract

Shanahan, M. & Baars, B.J., Applying Global Workspace Theory to the Frame Problem, Cognition, vol. 98(2) (2005), pp. 157-176. Abstract

Shanahan, M., Global Access, Embodiment, and the Conscious Subject, Journal of Consciousness Studies, vol. 12(12) (2005), pp. 46-66. Abstract

Shanahan, M., Perception as Abduction: Turning Sensor Data into Meaningful Representation, Cognitive Science, vol 29 (2005), pp. 103-134. Abstract

Shanahan, M., An Attempt to Formalise a Non-Trivial Benchmark Problem in Common Sense Reasoning, Artificial Intelligence, vol. 153 (2004), pp. 141-165. Abstract

Shanahan, M. & Witkowski, M., Event Calculus Planning Through Satisfiability, The Journal of Logic and Computation, vol. 14 (2004), pp. 731-745. Abstract

Shanahan, M., An Abductive Event Calculus Planner, The Journal of Logic Programming, vol. 44 (2000), pp. 207-239. Abstract

Shanahan, M., A Circumscriptive Calculus of Events, Artificial Intelligence, vol 77 (1995), pp. 249-284. Abstract

Shanahan, M., Default Reasoning about Spatial Occupancy, Artificial Intelligence, vol. 74(1) (1995), pp. 147-163. Abstract

Miller, R.S. & Shanahan, M., Narratives in the Situation Calculus, The Journal of Logic and Computation, vol. 4(5), (1994), pp. 513-530.

Conferences (Peer Reviewed)

Garnelo, M., Rosenbaum, D., Maddison, C., Ramalho, T., Saxton, D., Shanahan, M., Teh, Y.W., Rezende, D. & Eslami, S.M.A., Conditional Neural Processes, Proceedings ICML 2018, pp.1690-1699.

Kaplanis, C., Shanahan, M. & Clopath, C., Continual Reinforcement Learning with Complex Synapses, Proceedings ICML 2018, pp. 2502-2511.

Higgins, I., Sonnerat, N., Matthey, L., Pal, A., Burgess, C.P., Bosnjak, M., Shanahan, M., Botvinick, M., Hassabis, D. & Lerchner, A., SCAN: Learning Hierarchical Compositional Visual Concepts, Proceedings ICLR 2018.

Bhowmik, D., Nikiforou, K., Shanahan, M., Maniadakis, M. & Trahanias, P., A Reservoir Computing Model Of Episodic Memory, Proceedings IJCNN 2016.

Fountas, Z. & Shanahan, M., GPU-based Fast Parameter Optimization for Phenomenological Spiking Neural Models, Proceedings IJCNN 2015.

Teixeira, F.P. & Shanahan, M., Local and Global Criticality within Oscillating Networks of Spiking Neurons, Proceedings IJCNN 2015.

Fountas, Z. & Shanahan, M., Phase Offset Between Slow Oscillatory Cortical Inputs Influences Competition in a Model of the Basal Ganglia, Proceedings IJCNN 2014, pp. 2383-2390.

Teixeira, F.P. & Shanahan, M., Does Plasticity Promote Criticality? Proceedings IJCNN 2014, pp. 2407-2414.

Bhowmik, D. & Shanahan, M., STDP Produces Robust Oscillatory Architectures That Exhibit Precise Collective Synchronization, Proceedings IJCNN 2013, pp. ???.

Wildie, M. & Shanahan, M., Hierarchical Clustering Identifies Hub Nodes in a Model of Resting-State Brain Activity, Proceedings IJCNN 2012, pp. 222-227.

Bhowmik, D. & Shanahan, M., How Well Do Oscillator Models Capture the Behaviour of Biological Neurons?, Proceedings IJCNN 2012, pp. ???.

Bouganis, A. & Shanahan, M., Training a Spiking Neural Network to Control a 4-DoF Robotic Arm based on Spike Timing-Dependent Plasticity, Proceedings IJCNN 2010, pp. 4104-4111.

Fidjeland, A. & Shanahan, M., Accelerated Simulation of Spiking Neural Networks Using GPUs, Proceedings IJCNN 2010, pp. 536-543

Shanahan, M. & Connor, D., Modeling the Neural Basis of Cognitive Integration and Consciousness, Proceedings ALife XI, pp. 553-560. Abstract

Forth, J. & Shanahan, M., Indirect and Conditional Sensing in the Event Calculus, Proceedings ECAI 2004, pp. 900-904. Abstract

Shanahan, M. & Randell, D., A Logic-Based Formulation of Active Visual Perception, Proceedings KR 2004, pp. 64-72. Abstract

Shanahan, M., A Logical Account of Perception Incorporating Feedback and Expectation, Proceedings KR 2002, pp. 3-13. Abstract

Santos, P. & Shanahan, M., Hypothesising Object Relations from Image Transitions, Proceedings ECAI 2002, pp. 292-296. Abstract

Randell, D., Witkowski, M. & Shanahan, M., From Images to Bodies: Modelling and Exploiting Spatial Occlusion and Motion Parallax, Proceedings IJCAI 2001, pp. 57-63. Abstract

Shanahan, M., The Ramification Problem in the Event Calculus, Proceedings IJCAI 99, pp. 140-146. Abstract

Shanahan, M., Noise, Non-Determinism and Spatial Uncertainty, Proceedings AAAI 97, pp. 153-158. Abstract

Miller, R.S. & Shanahan, M., Reasoning about Discontinuities in the Event Calculus, Proceedings KR 1996, pp. 63-74. Abstract

Shanahan, M., Robotics and the Common Sense Informatic Situation, Proceedings ECAI 96, pp. 684-688. Abstract<

Shanahan, M., Noise and the Common Sense Informatic Situation for a Mobile Robot, Proceedings AAAI 96, pp. 1098-1103. Abstract

Shanahan, M., Evolutionary Automata, Proceedings ALife IV, pp. 388-393.

Shanahan, M., Explanation in the Situation Calculus, Proceedings IJCAI 93, pp. 160-165. Abstract

Shanahan, M., Representing Continuous Change in the Event Calculus, Proceedings ECAI 90, pp. 598-603. Abstract

Shanahan, M., Prediction Is Deduction but Explanation Is Abduction, Proceedings IJCAI 89, pp. 1055-1060. Abstract

Shanahan, M., An Incremental Theorem Prover, Proceedings IJCAI 87, pp. 987-989.

Workshops (Peer Reviewed)

Arulkumaran, K., Dilokthanakul, N., Shanahan, M. & Bharath, A., Classifying Options for Deep Reinforcement Learning Proceedings IJCAI 2016 Workshop on Deep Reinforcement Learning.

Shanahan, M., Towards a Computational Account of Reflexive Consciousness, Proceedings AISB 2006, vol. 1, pp. 165-170. Abstract

Shanahan, M., Consciousness, Emotion, and Imagination: A Brain-Inspired Architecture for Cognitive Robotics, Proceedings AISB 2005 Symposium on Next Generation Approaches to Machine Consciousness, pp. 26-35.

Shanahan, M., Cognition, Action Selection, and Inner Rehearsal, Proceedings IJCAI 2005 Workshop on Modelling Natural Action Selection, pp. 92-99. Abstract

Shanahan, M., Using Reactive Rules to Guide a Forward-Chaining Planner, Proceedings 6th European Conference on Planning (ECP 01). Abstract

Shanahan, M. & Witkowski, M., High-Level Robot Control Through Logic, Proceedings ATAL 2000, published as Intelligent Agents VII, Springer-Verlag, 2001, pp. 104-121. Appendices Abstract

Shanahan, M., Event Calculus Planning Revisited, Proceedings 4th European Conference on Plannning (ECP 97), Springer-Verlag Lecture Notes in Artificial Intelligence no. 1348, pp. 390-402. Abstract

Book Chapters

Shanahan, M., The Frame Problem, in The Stanford Encyclopedia of Philosophy.

Shanahan, M., The Frame Problem, in The Macmillan Encyclopedia of Cognitive Science, Macmillan (2002).

Shanahan, M., Reinventing Shakey, in Logic-Based Artificial Intelligence, ed. Jack Minker, Kluwer Academic (2000), pp. 233-253. Abstract

Shanahan, M., The Event Calculus Explained, in Artificial Intelligence Today, ed. M.J.Wooldridge and M.Veloso, Springer Lecture Notes in Artificial Intelligence no. 1600, Springer (1999), pp. 409-430. Abstract

Shanahan, M., What Sort of Computation Mediates Best between Perception and Action? Logical Foundations for Cognitive Agents: Contributions in Honor of Ray Reiter, ed. H.Levesque and F.Pirri, Springer-Verlag (1999), pp. 352-369. Abstract

Shanahan, M., Folk Psychology and Naive Physics, Connectionism, Concepts and Folk Psychology: The Legacy of Alan Turing, vol. 2, ed. A.Clark and P.J.R.Millican, Oxford University Press (1996).

Shanahan, M., Incrementality and Logic Programming, in Reason Maintenance Systems and their Applications, ed. G.Kelleher and B.Smith, Ellis Horwood (1988), pp. 21-34.

Talks / Outreach