Publications: All

Books

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

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

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

Journals

D. Bhowmik, M. Shanahan, STDP Produces Well Behaved Oscillations and Synchrony, Advances in Cognitive Neurodynamics (IV), 241-252 (2015).

M. Shanahan, V. Bingman, T. Shimizu, M. Wild, O. Güntürkün, Large-Scale Network Organisation in the Avian Forebrain: A Connectivity Matrix and Theoretical Analysis, Frontiers in Computational Neuroscience, vol. 7, article 89 (2013).

D. Bhowmik, M. Shanahan, Metastability and Inter-Band Frequency Modulation in Networks of Oscillating Spiking Neuron Populations, PLoS ONE, vol. 8(4), e62234 (2013).

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

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

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

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

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

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

M. Shanahan, Metastable Chimera States in Community-Structured Oscillator Networks, Chaos, vol. 20, 013108 (2010).

M. Shanahan, Localized Phenomenology: A Recurrent Debate, Cognitive Neuroscience, vol. 1(3), pp. 228-229 (2010).

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

D. Gamez, Z. Fountas, A.K. Fidjeland, A Neurally Controlled Computer Game Avatar With Human-like Behavior, IEEE Transactions on Computational Intelligence and AI in Games, vol.5, no.1, pp.1,14 (2013).

Conferences (Peer Reviewed)

Z. Fountas, M. Shanahan, GPU-based Fast Parameter Optimization for Phenomenological Spiking Neural Models, IEEE International Joint Conference on Neural Networks (IJCNN), Killarney, Ireland, 2015 (2015).

Z. Fountas, K. Nikiforou, D. Bhowmik, M. Shanahan, W. Roseboom, A. Seth, Clockless Biologically-Plausible Architecture for Temporal Perception Using Convolutional Neural Networks, Cognitive and Computational Neuroscience (CCN), New York, USA, 2017 (2017).

J.C. Farah, C. Kaplanis, C. Snowden, L. Milic, Z. Fountas, P.A.M. Mediano, Implementation of Attentional Bistability in a Computational Model of the Dragonfly Visual System, Cognitive and Computational Neuroscience (CCN), New York, USA, 2017 (2017).

F.P. Teixeira, M. Shanahan, Does Plasticity Promote Criticality?, Neural Networks (IJCNN), The 2014 International Joint Conference on, pp. 2407-2414 (2014).

Z. Fountas, M. Shanahan, Phase Offset Between Slow Oscillatory Cortical Inputs Influences Competition in a Model of the Basal Ganglia, Neural Networks (IJCNN), The 2014 International Joint Conference on, pp. 2383-2390 (2014).

D. Bhowmik, M. Shanahan, STDP produces robust oscillatory architectures that exhibit precise collective synchronization, Neural Networks (IJCNN), The 2013 International Joint Conference on, pp. 1-8 (2013).

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

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

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

A. Fidjeland, M. Shanahan, Accelerated Simulation of Spiking Neural Networks Using GPUs, Proceedings IJCNN 2010 (2010).

M. Shanahan, D. Connor, Modeling the Neural Basis of Cognitive Integration and Consciousness, Proceedings ALife XI, pp. 553-560 (2008).

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

M. Shanahan, D. Randell, A Logic-Based Formulation of Active Visual Perception, Proceedings KR (2004).

M. Shanahan, A Logical Account of Perception Incorporating Feedback and Expectation, Proceedings KR (2002).

P. Santos, M. Shanahan, Hypothesising Object Relations from Image Transitions, Proceedings ECAI (2002).

D. Randell, M. Witkowski, M. Shanahan, From Images to Bodies: Modelling and Exploiting Spatial Occlusion and Motion Parallax, Proceedings IJCAI (2001).

M. Shanahan, The Ramification Problem in the Event Calculus, Proceedings IJCAI (1999).

M. Shanahan, Noise, Non-Determinism and Spatial Uncertainty, Proceedings AAAI (1997).

R.S. Miller, M. Shanahan, Reasoning about Discontinuities in the Event Calculus, Proceedings KR (1996).

M. Shanahan, Robotics and the Common Sense Informatic Situation, Proceedings ECAI (1996).

M. Shanahan, Noise and the Common Sense Informatic Situation for a Mobile Robot, Proceedings AAAI (1996).

M. Shanahan, Evolutionary Automata, Proceedings ALife IV (1994).

M. Shanahan, Explanation in the Situation Calculus, Proceedings IJCAI (1993).

M. Shanahan, Representing Continuous Change in the Event Calculus, Proceedings ECAI (1990).

M. Shanahan, Prediction Is Deduction but Explanation Is Abduction, Proceedings IJCAI (1989).

M. Shanahan, An Incremental Theorem Prover, Proceedings IJCAI (1987).

Z. Fountas, D. Gamez, A. K. Fidjeland, A Neuronal Global Workspace for Human-like Control of a Computer Game Character, 2011 IEEE Conference on Computational Intelligence and Games (CIG’11), Seoul, South Korea, August 31 – September 3 (2011).

Book Chapters

M. Shanahan, The Frame Problem, in The Stanford Encyclopedia of Philosophy, The Stanford Encyclopedia of Philosophy (2004).

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

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

M. Shanahan, The Event Calculus Explained, in Artificial Intelligence Today, d. M.J.Wooldridge and M.Veloso, Springer Lecture Notes in Artificial Intelligence no. 1600, Springer (1999).

M. Shanahan, 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).

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

Workshops (Peer Reviewed)

M. Shanahan, Towards a Computational Account of Reflexive Consciousness, Proceedings AISB (2006).

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

M. Shanahan, Cognition, Action Selection, and Inner Rehearsal, Proceedings IJCAI 2005 Workshop on Modelling Natural Action Selection (2005).

M. Shanahan, Using Reactive Rules to Guide a Forward-Chaining Planner, Proceedings 6th European Conference on Planning (ECP 01) (2001).

M. Shanahan, M. Witkowski, High-Level Robot Control Through Logic, Proceedings ATAL 2000, published as Intelligent Agents VII, Springer-Verlag (2000).

M. Shanahan, Event Calculus Planning Revisited, Proceedings 4th European Conference on Plannning (ECP 97) (2001).

Posters (Peer Reviewed)

Z. Fountas, M. Shanahan, Assessing selectivity in the basal ganglia: the ‘gearbox’ hypothesis, Neuroscience 2016, San Diego, USA, 12-16 November 2016 (2016).

Z. Fountas, P.A.M. Mediano, D. Bhowmik, Brain Studio: A practical highperformance tool to design and simulate spiking neural networks, Neuroscience 2016, San Diego, USA, 12-16 November 2016 (2016).

H. van Rijn, P. Mostert, P.A.M. Mediano, Z. Fountas, The dopamine paradox in interval timing: how one neurotransmitter can both reset as well as modulate the clock, Neuroscience 2016, San Diego, USA, 12-16 November 2016 (2016).

Z. Fountas, W. Roseboom, D. Bhowmik, K. Nikiforou, M. Shanahan, Clockless biologically-plausible architecture for temporal perception using convolutional neural networks, Time in Tokyo: International Symposium on temporal perception and experience, Tokyo, Japan, 11-12 October 2016 (2016).

Z. Fountas, M. Shanahan, Phase offset of entrained cortical inputs influences selectivity in a neural model of the basal ganglia, Neuroscience 2014, Washington, DC, USA, 15-19 November 2014 (2014).

Z. Fountas, M. Shanahan, GPU-based Fast Parameter Optimization for Phenomenological Spiking Neural Models, IEEE International Joint Conference on Neural Networks (IJCNN), Killarney, Ireland, 2015 (2015).

D. Gamez,, Z. Fountas, M. Shanahan, A.K. Fidjeland, A Cognitive System with a Neurally-Implemented Global Workspace, 5th International Conference on Cognitive Systems, Vienna, Austria, 22-23 February (2012).