Prof Chris Huyck


NameProf Chris Huyck
Job titleProfessor of Artificial Intelligence
Research institute
Primary appointmentComputer Science
Email addressc.huyck@mdx.ac.uk
ORCIDhttps://orcid.org/0000-0003-4015-3549
Contact categoryResearcher

Biography

Biography

I'm the Professor of AI and have been here at Middlesex for 25 years.  I've also worked at the University of Sheffield, Microsoft and the American University in Cairo.  I got my PhD from the University of Michigan in 1994.  

Teaching

I currently teach Developing Artificial Intelligence

Education and qualifications

Grants

Prizes and Awards

Research outputs

A proposal for extending the Common Model of Cognition to emotion

Rosenbloom, P., Laird, J., Lebiere, C., Stocco, A., Granger, R. and Huyck, C. 2024. A proposal for extending the Common Model of Cognition to emotion. 22nd International Conference on Cognitive Modeling. Tilburg University, the Netherlands 19 - 22 Jul 2024

Enhancing individual UAV path planning with Parallel Multi-Swarm Treatment Coronavirus Herd Immunity Optimizer (PMST-CHIO) algorithm

Fouad, A., Abboudi, A., Huyck, C., Gao, X., Bououden, S., Khezami, N. and Shall, H. 2024. Enhancing individual UAV path planning with Parallel Multi-Swarm Treatment Coronavirus Herd Immunity Optimizer (PMST-CHIO) algorithm. IEEE Access. 12, pp. 28395-28416. https://doi.org/10.1109/ACCESS.2024.3367753

Associative memory with biologically-inspired cell assemblies

Ji, Y., Gamez, D. and Huyck, C. 2024. Associative memory with biologically-inspired cell assemblies. Samsonovich, A.V. and Liu, T. (ed.) 2023 Annual International Conference on Brain-Inspired Cognitive Architectures for Artificial Intelligence, the 14th Annual Meeting of the BICA Society (BICA*AI 2023). Ningbo, China 13 - 15 Oct 2023 Springer. pp. 422-428 https://doi.org/10.1007/978-3-031-50381-8_43

Bridging neuroscience and robotics: spiking neural networks in action

Jones, A., Gandhi, V., Mahiddine, A. and Huyck, C. 2023. Bridging neuroscience and robotics: spiking neural networks in action. Sensors. 23 (21), pp. 1-14. https://doi.org/10.3390/s23218880

A spiking model of Cell Assemblies: Short term and associative memory

Huyck, C. 2023. A spiking model of Cell Assemblies: Short term and associative memory. Medical Research Archives. 11 (9), pp. 1-20. https://doi.org/10.18103/mra.v11i9.4406

Review of parameter tuning methods for nature-inspired algorithms

Joy, G., Huyck, C. and Yang, X. 2023. Review of parameter tuning methods for nature-inspired algorithms. in: Yang, X. (ed.) Benchmarks and Hybrid Algorithms in Optimization and Applications Singapore Springer. pp. 33-47

Competitive learning with spiking nets and spike timing dependent plasticity

Huyck, C. and Orume, E. 2022. Competitive learning with spiking nets and spike timing dependent plasticity. Bramer, M. and Stahl, F. (ed.) AI-2022: The Forty-second SGAI International Conference. Cambridge, England, UK 13 - 15 Dec 2022 Springer. pp. 153-166 https://doi.org/10.1007/978-3-031-21441-7_11

Cell Assembly-based Task Analysis (CAbTA)

Diaper, D. and Huyck, C. 2021. Cell Assembly-based Task Analysis (CAbTA). Arai, K. (ed.) Computing Conference 2021 (formerly called Science and Information (SAI) Conference). Virtual (from London, UK) 15 - 16 Jul 2021 Springer. https://doi.org/10.1007/978-3-030-80119-9_22

Learning categories with spiking nets and spike timing dependent plasticity

Huyck, C. 2020. Learning categories with spiking nets and spike timing dependent plasticity. Bramer, M. and Ellis, R. (ed.) 40th SGAI 2020. Cambridge, UK 15 - 17 Dec 2020 Springer. pp. 139-144 https://doi.org/10.1007/978-3-030-63799-6_10

Hot coffee: associative memory with bump attractor cell assemblies of spiking neurons

Huyck, C. and Vergani, A. 2020. Hot coffee: associative memory with bump attractor cell assemblies of spiking neurons. Journal of Computational Neuroscience. 48 (3), pp. 299-316. https://doi.org/10.1007/s10827-020-00758-1

Are quiz-games an effective revision tool in Anatomical Sciences for Higher Education and what do students think of them?

Wilkinson, K., Dafoulas, G., Garelick, H. and Huyck, C. 2020. Are quiz-games an effective revision tool in Anatomical Sciences for Higher Education and what do students think of them? British Journal of Educational Technology. 51 (3), pp. 761-777. https://doi.org/10.1111/bjet.12883

A neural cognitive architecture

Huyck, C. 2020. A neural cognitive architecture. Cognitive Systems Research. 59, pp. 171-178. https://doi.org/10.1016/j.cogsys.2019.09.023

CABots and other neural agents

Huyck, C. and Mitchell, I. 2018. CABots and other neural agents. Frontiers in Neurorobotics. 12, pp. 1-12. https://doi.org/10.3389/fnbot.2018.00079

A brain-inspired cognitive system that mimics the dynamics of human thought

Ji, Y., Gamez, D. and Huyck, C. 2018. A brain-inspired cognitive system that mimics the dynamics of human thought. AI-2018 Thirty-eighth SGAI International Conference on Artificial Intelligence. Cambridge, UK 11 - 13 Dec 2018 Springer. pp. 50-62 https://doi.org/10.1007/978-3-030-04191-5_4

Implementing Rules with Aritificial Neurons

Huyck, C. and Kreivena, D. 2018. Implementing Rules with Aritificial Neurons. AI-2018 38th SGAI International Conference on Artificial Intelligence. Cambridge 11 - 13 Dec 2018 Springer. pp. 21-33 https://doi.org/10.1007/978-3-030-04191-5_2

Two simple NeuroCognitive associative memory models

Huyck, C. and Ji, Y. 2018. Two simple NeuroCognitive associative memory models. International Conference on Cognitive Modeling 2018. Madison Wisconsin 20 - 24 Jul 2018 pp. 31-36

A spiking half-cognitive model for classification

Huyck, C. and Kulkarni, R. 2018. A spiking half-cognitive model for classification. Connection Science. 30 (3), pp. 285-305. https://doi.org/10.1080/09540091.2018.1443317

The neural cognitive architecture

Huyck, C. 2017. The neural cognitive architecture. AAAI 2017 FALL Symposium Series: Symposium on A Standard Models of the Mind. Arlington, Virginia, USA 09 - 11 Nov 2017 Association for the Advancement of Artificial Intelligence (AAAI). pp. 365-370

Neuron-based control mechanisms for a robotic arm and hand

Singh, N., Huyck, C., Gandhi, V. and Jones, A. 2017. Neuron-based control mechanisms for a robotic arm and hand. International Journal of Computer, Electrical, Automation, Control and Information Engineering. 11 (2), pp. 221-229. https://doi.org/10.5281/zenodo.1128871

Programming a cognitive architecture with simulated neurons, Chris Eliasmith. How to Build a Brain: A Neural Architecture for Biological Cognition. Oxford University Press, Oxford (2013). 456 pp., ISBN: 978-0-19-026212-9 [Book review]

Huyck, C. 2017. Programming a cognitive architecture with simulated neurons, Chris Eliasmith. How to Build a Brain: A Neural Architecture for Biological Cognition. Oxford University Press, Oxford (2013). 456 pp., ISBN: 978-0-19-026212-9 [Book review]. Cognitive Systems Research. 41, pp. 36-37. https://doi.org/10.1016/j.cogsys.2016.09.002

Programming with simulated neurons: a first design pattern

Evans, C., Mitchell, I. and Huyck, C. 2016. Programming with simulated neurons: a first design pattern. PPIG 2016 - 27th Annual Workshop of the Psychology of Programming Interest Group. University of Cambridge, Cambridge, UK 07 - 10 Sep 2016 Psychology of Programming Interest Group. pp. 36-45

PlaNeural: spiking neural networks that plan

Mitchell, I., Huyck, C. and Evans, C. 2016. PlaNeural: spiking neural networks that plan. 7th Annual International Conference on Biologically Inspired Cognitive Architectures, BICA 2016. New York City, NY, USA 16 Jul 2016 Elsevier. pp. 198-204 https://doi.org/10.1016/j.procs.2016.07.425

Neural constraints and flexibility in language processing

Huyck, C. 2016. Neural constraints and flexibility in language processing. Behavioral and Brain Sciences. 39, p. e78. https://doi.org/10.1017/s0140525x15000837

Advancing ambient assisted living with caution

Huyck, C., Augusto, J., Gao, X. and Botia, J. 2015. Advancing ambient assisted living with caution. in: Helfert, M., Holzinger, A., Ziefle, M., Fred, A., O'Donoghue, J. and Röcker, C. (ed.) Information and Communication Technologies for Ageing Well and e-Health: First International Conference, ICT4AgeingWell 2015, Lisbon, Portugal, May 20-22, 2015. Revised Selected Papers Springer.

A comparison of simple agents implemented in simulated neurons

Huyck, C., Evans, C. and Mitchell, I. 2015. A comparison of simple agents implemented in simulated neurons. Biologically Inspired Cognitive Architectures. 12, pp. 9-19. https://doi.org/10.1016/j.bica.2015.03.001

Programming the MIRTO robot with neurons

Huyck, C., Primiero, G. and Raimondi, F. 2014. Programming the MIRTO robot with neurons. Procedia Computer Science. 41, pp. 75-82. https://doi.org/10.1016/j.procs.2014.11.087

Post and pre-compensatory Hebbian Learning for categorisation

Huyck, C. and Mitchell, I. 2014. Post and pre-compensatory Hebbian Learning for categorisation. Cognitive Neurodynamics. 8 (4), pp. 299-311. https://doi.org/10.1007/s11571-014-9282-4

True global optimality of the pressure vessel design problem: a benchmark for bio-inspired optimisation algorithms

Yang, X., Huyck, C., Karamanoglu, M. and Khan, N. 2013. True global optimality of the pressure vessel design problem: a benchmark for bio-inspired optimisation algorithms. International Journal of Bio-Inspired Computation. 5 (6), pp. 329-335. https://doi.org/10.1504/IJBIC.2013.058910

Compensatory Hebbian learning for categorisation in simulated biological neural nets

Huyck, C. and Mitchell, I. 2013. Compensatory Hebbian learning for categorisation in simulated biological neural nets. Biologically Inspired Cognitive Architectures. 6 (5), pp. 3-7. https://doi.org/10.1016/j.bica.2013.06.003

A review of cell assemblies

Huyck, C. and Passmore, P. 2013. A review of cell assemblies. Biological Cybernetics. 107 (3), pp. 263-288. https://doi.org/10.1007/s00422-013-0555-5

Self organising maps with a point neuron model

Huyck, C. and Mitchell, I. 2013. Self organising maps with a point neuron model. Intl Conf. on Cognitive and Neural Systems.

A neuro-computational approach to PP attachment ambiguity resolution

Nadh, K. and Huyck, C. 2012. A neuro-computational approach to PP attachment ambiguity resolution. Neural Computation. 24 (7), pp. 1906-1925. https://doi.org/10.1162/NECO_a_00298

Cell assemblies for query expansion in information retrieval

Volpe, I., Moreira, V. and Huyck, C. 2011. Cell assemblies for query expansion in information retrieval. in: The 2011 International Joint Conference on Neural Networks (IJCNN 2011 - San Jose) Institute of Electrical and Electronics Engineers (IEEE). pp. 551-558

A Pong playing agent modelled with massively overlapping cell assemblies

Nadh, K. and Huyck, C. 2010. A Pong playing agent modelled with massively overlapping cell assemblies. Neurocomputing. 73 (16-18), pp. 2928-2934. https://doi.org/10.1016/j.neucom.2010.07.013

Dialogue based interfaces for universal access.

Huyck, C. 2010. Dialogue based interfaces for universal access. Universal Access in the Information Society. https://doi.org/10.1007/s10209-010-0209-5

Conflict resolution and learning probability matching in a neural cell-assembly architecture

Belavkin, R. and Huyck, C. 2011. Conflict resolution and learning probability matching in a neural cell-assembly architecture. Cognitive Systems Research. 12 (2), pp. 93-101. https://doi.org/10.1016/j.cogsys.2010.08.003

Multi-associative memory in fLIF cell assemblies.

Huyck, C. and Nadh, K. 2009. Multi-associative memory in fLIF cell assemblies. 9th International Conference on Cognitive Modeling. Manchester 24 - 26 Jul 2009

Processing with cell assemblies

Byrne, E. and Huyck, C. 2010. Processing with cell assemblies. Neurocomputing. 74 (1-3), pp. 76-83. https://doi.org/10.1016/j.neucom.2009.09.024

Emergence of rules in cell assemblies of fLIF neurons.

Belavkin, R. and Huyck, C. 2008. Emergence of rules in cell assemblies of fLIF neurons. The 18th European Conference on Artificial Intelligence. University of Patras, Greece 21 - 25 Jul 2008

Prepositional phrase attachment ambiguity resolution using semantic hierarchies

Nadh, K. and Huyck, C. 2009. Prepositional phrase attachment ambiguity resolution using semantic hierarchies. Hamza, M. (ed.) 9th IASTED International Conference on Artificial Intelligence and Applications. Innsbruck, Austria 17 - 18 Feb 2009 Acta Press.

A model of probability matching in a two-choice task based on stochastic control of learning in neural cell-assemblies.

Belavkin, R. and Huyck, C. 2009. A model of probability matching in a two-choice task based on stochastic control of learning in neural cell-assemblies. 9th International conference on cognitive modelling {ICCM 2009]. University of Manchester 24 - 26 Jul 2009

A psycholinguistic model of natural language parsing implemented in simulated neurons

Huyck, C. 2009. A psycholinguistic model of natural language parsing implemented in simulated neurons. Cognitive Neurodynamics. 3 (4), pp. 316-330. https://doi.org/10.1007/s11571-009-9080-6

Variable binding by synaptic strength change

Huyck, C. 2009. Variable binding by synaptic strength change. Connection Science. 21 (4), pp. 327-357. https://doi.org/10.1080/09540090902954188

Counting with neurons: rule application with nets of fatiguing leaking integrate and fire neurons.

Huyck, C. and Belavkin, R. 2006. Counting with neurons: rule application with nets of fatiguing leaking integrate and fire neurons. 7th International Conference on Cognitive Modelling. Trieste, Italy pp. 142-147

Models of cell assembly decay

Passmore, P. and Huyck, C. 2008. Models of cell assembly decay. Institute of Electrical and Electronics Engineers. pp. 1-6 https://doi.org/10.1109/UKRICIS.2008.4798946

Creating hierarchical categories using cell assemblies

Huyck, C. 2007. Creating hierarchical categories using cell assemblies. Connection Science. 19 (1), pp. 1-27. https://doi.org/10.1080/09540090600779713

Relevance feedback and cross-language information retrieval

Huyck, C. and Orengo, V. 2006. Relevance feedback and cross-language information retrieval. Information Processing and Management. 42 (5), pp. 1203-1217. https://doi.org/10.1016/j.ipm.2005.12.003

Information retrieval and categorisation using a cell assembly network

Huyck, C. and Orengo, V. 2005. Information retrieval and categorisation using a cell assembly network. Neural Computing and Applications. 14 (4), pp. 282-289. https://doi.org/10.1007/s00521-004-0464-6

Generating discourse structures for written texts

Le, H., Abeysinghe, G. and Huyck, C. 2004. Generating discourse structures for written texts. International Conference on Computational Linguistics, (COLING 2004). University of Geneva, Switzerland 23 - 27 Aug 2004 pp. 329-355

Automated discourse segmentation by syntactic information and cue phrases.

Le, H., Abeysinghe, G. and Huyck, C. 2004. Automated discourse segmentation by syntactic information and cue phrases. IASTED International Conference on Artificial Intelligence and Applications (AIA 2004). Innsbruck, Austria 16 - 18 Feb 2004 pp. 293-298

Agent design method for enhancing accessibility.

Cook, J., Huyck, C. and Whitney, G. 2004. Agent design method for enhancing accessibility. in: McLoughlin, C. and Cantoni, L. (ed.) ED-MEDIA 2004: world conference on educational multimedia, hypermedia and telecommunications: proceedings of ED-MEDIA 2004. Association for the Advancement of Computing in Education.

Overlapping cell assemblies from correlators.

Huyck, C. 2004. Overlapping cell assemblies from correlators. Conference. https://doi.org/10.1016/j.neucom.2003.08.003

A study to improve the efficiency of a discourse parsing system

Le, H., Abeysinghe, G. and Huyck, C. 2003. A study to improve the efficiency of a discourse parsing system. 4th International Conference on Intelligent Text Processing and Computational Linguistics, (CICLing’03). Mexico City 16 - 22 Feb 2003 pp. 101-114

Using cohesive devices to recognize rhetorical relations in text.

Le, H., Abeysinghe, G. and Huyck, C. 2003. Using cohesive devices to recognize rhetorical relations in text. 4th Computational Linguistics UK Research Colloquium (CLUK-4). Edinburgh University Jan 2003 pp. 123-128

Neural cell assemblies for practical applications.

Huyck, C. and Bavan, A. 2002. Neural cell assemblies for practical applications. in: Callaos, N. (ed.) SCI 2002: ISAS: the 6th world multiconference on systemics, cybernetics and informatics: proceedings. Orlando, Florida. International Institute of Informatics and Systemics.. pp. 174-177
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