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