Computational Cognitive Neuroscience Laboratory

Publications

2021

  • Caso, A., & Cooper, R. P. (2021). Executive Functions in Aging: An Experimental and Computational Study of the Wisconsin Card Sorting and Brixton Spatial Anticipation Tests. Experimental Aging Research. (37 pages.) https://doi.org/10.1080/0361073X.2021.1932202
  • Cooper, R. P. (2021). Action production and event perception as routine sequential behaviors. Topics in Cognitive Science, 13(1), 63-78.  https://doi.org/10.1111/tops.12462

2020

  • Buyakin, E. V., & Cooper, R. P. (2020). Automatic and Controlled Sentence Production: A Computational Model. In S. Denison et al. (eds.) Proceedings of the 42nd Annual Conference of the Cognitive Science Society (pp. 1961-1966). Cognitive Science Society Incorporated, Toronto, Canada.
  • Caso, A. & Cooper, R. P. (2020). A neurally plausible schema-theoretic approach to modelling cognitive dysfunction and neurophysiological markers in Parkinson’s Disease. Neuropsychologia, 140, 107359. (19 pages.) https://doi.org/10.1016/j.neuropsychologia.2020.107359
  • Guest, O., Caso, A. & Cooper, R. P. (2020). On Simulating Neural Damage in Connectionist Networks. Computational Brain & Behavior, 3, 289-321. https://doi.org/10.1007/s42113-020-00081-z

2019

  • Cracco, E., & Cooper, R. P. (2019). Automatic Imitation of Multiple Agents: A Computational Model. Cognitive Psychology, 113(101224), 1-20. DOI: 10.1016/j.cogpsych.2019.101224
  • Yuan, W., Lin, F., & Cooper, R. P. (2019). Relevance theory, pragmatic inference and cognitive architecture. Philosophical Psychology, 32(1), 98-122. DOI: 10.1080/09515089.2018.1497788

2018

  • Cooper, R. P., Byde, C., De Cecilio, R., Fulks, C. & Morais, D. S. (2018). Set-shifting and place-keeping as separable control processes. Cognitive Psychology, 105, 53-80. DOI: 10.1016/j.cogpsych.2018.07.001
  • Cooper, R. P. & Peebles, D. (2018). On the relation between Marr’s levels: A response to Blokpoel (2017). Topics in Cognitive Science, 10(3), 649-653. DOI: 10.1111/tops.12283

2017

  • Caso, A. & Cooper, R. P. (2017). A Neurocomputational Model of Learning to Select Actions. In Van Vugt, M., Banks, A., & Kennedy, W. (eds.) Proceedings of the 15th International Conference on Cognitive Modelling.
  • Caso, A. & Cooper, R. P. (2017). A Model of Cognitive Control in the Wisconsin Card Sorting Test: Integrating Schema Theory and Basal Ganglia Function. In G. Gunzelmann, A. Howes, T. Tenbrink, & E. J. Davelaar (Eds.). Proceedings of the 39th Annual Conference of the Cognitive Science Society. Austin, TX: Cognitive Science Society. pp. 210-215.
  • Cooper, R. P. (2017). Deep-learning networks and the functional architecture of executive control. Behavioral and Brain Sciences, 40, 33, e261.
  • Sexton, N. J. & Cooper, R. P. (2017). Task inhibition, conflict, and the n-2 repetition cost: A combined computational and empirical approach. Cognitive Psychology, 94, 1-25. DOI: 10.1016/j.cogpsych.2017.01.003

2016

  • Blakeman, S. & Mareschal, D. (2016) Narrowing of the Cone-of-Direct Gaze Through Reinforcement Learning. Proceedings of the 36th Annual Conference of the Cognitive Science Society. London, UK.
  • Cooper, R. P. (2016). Executive functions and the generation of “random” sequential responses: A computational account. Journal of Mathematical Psychology, 73, 153-168. DOI: 10.1016/j.jmp.2016.06.002
  • Cooper, R. P. (2016). Schema theory and neuropsychology. In M. A. Arbib and J. J. Bonaiuto (eds.) From Neuron to Cognition via Computational Neuroscience. (Chapter 14, pp. 433-456.) MIT Press, Cambridge, MA.
  • Cooper, R. P. & Marsh, V. (2016). Set-shifting as a component process of goal-directed problem-solving. Psychological Research, 80(2), 307-323. DOI: 10.1007/s00426-015-0652-2
  • Mareschal, D. & French, R. M. (2016) TRACX2: A connectionist autoencoder using graded chunks to model infant visual statistical learning. Philosophical Transactions of the Royal Society B, 372, 20160057.

2015

  • Cooper, R. P. & Peebles, D. (2015). Beyond single-level accounts: The role of cognitive architectures in cognitive scientific explanation. Topics in Cognitive Science, 7, 243-258. DOI: 10.1111/tops.12132
  • Fautrellle, L., Mareschal, D., French, R. M., Addyman, C. & Thomas, E. (2015) Motor activity improves temporal accuracy. PloS ONE, 10(3): e0119187. DOI: 10.1371/journal.pone.0119187
  • Mitsopoulos, C., Mareschal, D., & Cooper, R. P. (2015) Model-based analysis of the Tower of London task, Proceedings of the 2nd Multi-disciplinary Conference in Reinforcement Learning and Decision Making. Edmonton, AL, Canada.
  • Nardini, M, Bales, J. & Mareschal, D. (2015). Integration of audio-visual information for spatial decisions in children and adults. Developmental Science, DOI: 10.1111/desc.12327.
  • Sexton, N. J., & Cooper, R. P. (2015). Task-set inhibition, conflict, and the n-2 repetition cost: A computational model of task switching. In R. Dale et al. (eds.) Proceedings of the 37th Annual Conference of the Cognitive Science Society (pp. 2134-2139). Cognitive Science Society Incorporated, Pasadena, CA.

2014

  • Addyman, C. & Mareschal, D. (2014) GAMIT-Net: Retrospective and prospective interval timing in a single neural network.Proceedings of the 36th Annual Conference of the Cognitive Science Society. Quebec City, PQ, Canada.
  • Cooper, R. P., & Guest, O., (2014). Implementations are not specifications: Specification, replication and experimentation in computational cognitive modeling. Cognitive Systems Research, 27, 42-49. DOI: 10.1016/j.cogsys.2013.05.001
  • Cooper, R. P., Ruh, N., & Mareschal, D. (2014). The Goal Circuit Model: A hierarchical multi-route model of the acquisition and control of routine sequential action in humans. Cognitive Science, 38, 244-274. DOI: 10.1111/cogs.12067
  • French, R. M., Addyman, C., Mareschal, D. & Thomas, E (2014) Unifying prospective and retrospective interval-time estimation: A fading-Gaussian activation-based model of interval-timing. Procedia- Social and Behavioral Sciences, 126, 141-150.
  • French, R.M., Addyman, C., Mareschal, D. & Thomas, E. (2014) GAMIT: A Fading-Gaussian Activation Model of Interval-Time  — Unifying prospective and retrospective time estimation Timing & Time Perception Reviews, 1. DOI: 10.1163/24054496-00101002
  • Guest, O., Cooper, R. P., & Davelaar, E., J. (2014). The influence of implementation on “hub” models of semantic cognition. In Mayor, J. & Gomez, P. (Eds.), Computational Models of Cognitive Processes. (pp. 155-169). World Scientific, Singapore.
  • Papera, M., Cooper, R. P., & Richards, A. (2014). Artificially created stimuli produced by a genetic algorithm using a saliency model as its fitness function show that Inattentional Blindness modulates performance in a pop-out visual search paradigm. Vision Research, 97, 31-44. DOI: 10.1016/j.visres.2014.01.013 
  • Sexton, N. J. & Cooper, R. P. (2014). An architecturally constrained model of random number generation and its application to modelling the effect of generation rate. Frontiers in Psychology, 5(160), 1-14. DOI: 10.3389/fpsyg.2014.00670

2013

  • Addyman, C. & Mareschal, D. (2013) Local redundancy governs infants’ spontaneous orienting to visual-temporal sequences. Child Development, 84, 1137-1144.
  • Althaus, N. & Mareschal, D. (2013) Modeling cross-modal interactions in early word learning. IEEE Transactions on Autonomous Mental Development, 5, 288-297. 
  • Cooper, R. P. (2013). Action slips. In Pashler, H. (Ed.), Encyclopedia of the Mind (pp. 1758-1760). Sage.
  • Cooper, R. P., Catmur, C. & Heyes, C. M. (2013). Are automatic imitation and spatial compatibility mediated by different processes? Cognitive Science, 37(4), 605-630. DOI: 10.1111/j.1551-6709.2012.01252.x
  • Cooper, R. P., Cook, R., Dickinson, A., & Heyes, C.M. (2013). Associative (not Hebbian) learning and the mirror neuron system. Neuroscience Letters, 540, 28-36. DOI: 10.1016/j.neulet.2012.10.002
  • Fox, J., Cooper, R. P., & Glasspool, D. W. (2013). A canonical theory of dynamic decision-making. Frontiers in Psychology, 4(150), 1-19. DOI: 10.3389/fpsyg.2013.00150
  • Shallice, T., & Cooper, R. P. (2013). Is there a semantic system for abstract words? Frontiers in Human Neuroscience, 7(175), 1-10. DOI: 10.3389/fnhum.201300175
  • Sood, M., & Cooper, R. P. (2013). Modelling the Supervisory System and Frontal Dysfunction: An Architecturally Grounded Model of the Wisconsin Card Sorting Task. In M. Knauff, M. Pauen, N. Sebanz, & I. Wachsmuth (Eds.), Proceedings of the 35th Annual Conference of the Cognitive Science Society (pp. 1354-1359). Cognitive Science Society Incorporated, Berlin, Germany.
  • Westermann, G. & Mareschal, D. (2013) From perceptual to language-mediated categorization. Philosophical Transactions of the Royal Society B, 369: 201220391

2012

  • Thomas, M. S. C., Purser, H. R. M. & Mareschal, D. (2012) Is the mystery of thought demystified by context-dependent categorisation? Towards a new relation between language and thought. Mind and Language, 27, 595-618. 
  • Althaus, N. & Mareschal, D. (2012) Using saliency maps to separate competing processes in infant visual cognition. Child Development, 83, 1122-1128. 
  • Cooper, R. P. & Davelaar, E. J. (2012). Modelling correlations in “response inhibition”. In E. J. Davelaar (Ed.), Connectionist Models of Neurocognition and Emergent Behaviour (pp. 245-258). World Scientific, Singapore.
  • Cooper, R. P., Wutke, K. & Davelaar, E. (2012). Differential contributions of task-shifting and memory updating to dual task interference. Quarterly Journal of Experimental Psychology, 65(3), 587-612. DOI: 10.1080/17470218.2011.629053
  • Cooper, R. P. (2012). Learning action affordances and action schemas. In Seel, N. (Ed.), Encyclopedia of the Sciences of Learning (pp. 1758-1760). Springer, Berlin.
  • Guest, O. & Cooper, R. P. (2012). Semantic cognition: A re-examination of the recurrent network “hub” model. In Rußwinkel, N., Drewitz, U., & van Rijn, H. (Eds.), Proceedings of the 11th International Conference on Cognitive Modeling (pp. 259-264). Technische Universität Berlin, Berlin.
  • Purser, H., Thomas, M.S.C., Tomlinson, S. & Mareschal, D. (2012) Are imaging and lesioning convergent methods for assessing functional specialisation? Investigations using an artificial neural network. Brain and Cognition, 78, 38-49.
  • Shallice, T. & Cooper, R. P. (2012). The Organisation of Mind: Response to commentators. Cortex, 48, 1383-1387. DOI: 10.1016/j.cortex.2012.07.004

2011

  • Addyman, C., French, R. M., Mareschal, D. & Thomas, E. (2011). Learning to perceive time: A connectionist, memory-decay model of the development of interval timing in infants In Proceedings of the 30th International Conference of the Cognitive Science Society. Boston, MA: USA.  
  • Cooper, R. P. (2011). Cognitive control in the generation of random sequences: A computational study of secondary task effects. In Hoelscher, C., Shipley, T.F., and Carlson, L. (Eds.), Proceedings of the 33rd Annual Conference of the Cognitive Science Society (pp. 2168-2173). Cognitive Science Society Incorporated, Boston, MA.
  • Cooper, R. P. (2011). Complementary perspectives on cognitive control. Topics in Cognitive Science, 3(2), 208-211. DOI: 10.1111/j.756-8765.2011.01145.x
  • Cooper, R. P. & Shallice, T. (2011). The roles of functional neuroimaging and cognitive neuropsychology in the development of cognitive theory: A reply to Coltheart. Cognitive Neuropsychology, 28(6), 403-413.
  • French, R. M., Addyman, C. & Mareschal, D. (2011): TRACX: A recognition-based connectionist framework for sequence segmentation and chunk extraction. Psychological Review, 118, 614-636.

2010

  • Cooper, R. P. (2010): Cognitive control: Componential or emergent? Topics in Cognitive Science, 2, 598-613.
  • Cooper, R. P. & Davelaar, E. J. (2010): Modelling the correlation between two putative inhibition tasks: A simulation approach. In Salvucci, D. & Gunzelmann, G. (eds.), Proceedings of the 10th International Conference of Cognitive Modelling. pp. 31-36. Drexel University: Philadelphia, PA, USA.
  • Davelaar, E. J. & Cooper, R. P. (2010): Modelling the correlation between two putative inhibition tasks: An analytic approach. In Catrambone, R. & Ohlsson, S. (eds.), Proceedings of the 32nd Annual Conference of the Cognitive Science Society. pp. 937-942. Cognitive Science Society Incorporated: Portland, OR, USA.
  • Mareschal, D. (2010) Computational perspectives on cognitive development. Wiley Interdisciplinary Review.
  • Mareschal, D., Quinn, P. C. & Lea, S. E. G. (Eds.) (2010) The making of human concepts. Oxford, UK: Oxford University Press.
  • Ruh, N., Cooper, R. P., & Mareschal, D. (2010): Action selection in complex routinized sequential behaviors. Journal of Experimental Psychology: Human Perception and Performance, 36, 955-975.
  • Thomas, R., Nardini, M. & Mareschal, D. (2010). Interactions between “light-from-above” and convexity priors in visual development. Journal of Vision, 10(8):6, 1-7.

2009

  • Cooper, R. P. (2009): Extending the contention scheduling model of routine action selection: The Wisconsin Card Sorting Task and frontal dysfunction. In Howes, A., Peebles, D., & Cooper, R. P. (eds.), Proceedings of the Ninth International Conference on Cognitive Modelling. Manchester, UK. pp. 198-203. April.
  • Howes, A., Peebles, D., & Cooper, R. P. (eds.) (2009): Proceedings of the Ninth International Conference on Cognitive Modelling. Manchester, UK.
  • Mareschal, D., Leech, R., & Cooper, R. P. (2009): Connectionist and Dynamic Systems models of development: The case of analogical completion. In Spencer, J. P., Thomas, M. S. C., & McClelland, J. L. (eds.), Toward a New Grand Theory of Development? Connectionism and Dynamic Systems Theory Re-Considered. pp. 203-217. Oxford University Press: Oxford, UK.
  • Purser, H., Thomas, M. S. C., & Snoxall, S. & Mareschal, D. (2009) The development of similarity: Testing the prediction of a computational model of metaphor comprehension. Language and Cognitive Processes, 24, 1406-1430.

2008

  • Leech, R., Mareschal, D., & Cooper, R. P. (2008): Analogy as Relational Priming: A Developmental and Computational Perspective on the Origins of a Complex Cognitive Skill. Behavioral and Brain Sciences, 31, 357-378.
  • Leech, R., Mareschal, D., & Cooper, R. P. (2008): Response to commentators: Growing cognition from recycled parts. Behavioral and Brain Sciences, 31, 401-414.
  • Ruh, N., Cooper, R. P., & Mareschal, D. (2008): The hierarchies and systems that underlie routine behavior: evidence from an experiment in virtual gardening. In Sloutsky, V., Love, B., & McRae, K. (eds.), Proceedings of the 30th International Conference of the Cognitive Science Society. Washington, DC. pp. 339-344. July.
  • Ruh, N., Cooper, R. P., & Mareschal, D. (2008): A connectionist approach to modelling the flexible control of routine activities. In French, R. M. & Thomas, E. (eds.), From Rules to Associations: Connectionist Models of Behaviour and Cognition. pp. 3-15. World Scientific: Singapore. PDF
  • Sirois, S., Spratling, M.W., Thomas, M.S.C., Westermann, G., Mareschal, D., and Johnson, M.H. (2008) Precis of Neuroconstructivism: How the Brain Constructs Cognition. Behavioral and Brain Sciences 31, 321-356

2007

2006

  • Baughman, F. D. & Cooper, R. P. (2006): Inhibition and young children’s performance on the Tower of London task. In Proceedings of the 7th International Conference on Cognitive Modelling. Trieste, Italy. pp. 26-31. April.
  • Cooper, R. P. (2006): Cognitive Architectures as Lakatosian Research Programmes: Two case studies. Philosophical Psychology, 19, 199-220.
  • Cooper, R. P. & Shallice, T. (2006): Structured representations in the control of behavior cannot be so easily dismissed: A reply to Botvinick and Plaut (2006). Psychological Review, 113, 929-931.
  • Cooper, R. P. & Shallice, T. (2006): Hierarchical schemas and goals in the control of sequential behaviour. Psychological Review, 113, 887-916.
  • Crescentini, C., Shallice, T., & Cooper, R. P. (2006): A macroplanning model to simulate dynamic aphasia. In Proceedings of the 7th International Conference on Cognitive Modelling. Trieste, Italy. pp. 80-85. April.
  • Grecucci, A., Cooper, R. P., & Rumiati, R. I. (2006): The emotional enhancement of stimulus-response compatibility: A computational study. In Proceedings of the 7th International Conference on Cognitive Modelling. Trieste, Italy. pp. 118-123. April.
  • Ruh, N., Cooper, R. P., & Mareschal, D. (2006): Redundancy and multiple levels of control in a connectionist model of sequential action. In Proceedings of the 7th International Conference on Cognitive Modelling. Trieste, Italy. pp. 262-267. April.
  • Westermann, G., Sirois, S., Shultz, T.R. & Mareschal, D. (2006). Modeling developmental cognitive neuroscience. Trends in Cognitive Sciences 10, 227-232.

2005

  • Cooper, R. P. (2005): The control of routine action: Modelling normal and impaired functioning. In Houghton, G. (eds.), Connectionist models in Cognitive Psychology. pp. 313-344. Psychology Press: Hove, UK.
  • Cooper, R. P., Schwartz, M. F., Yule, P., & Shallice, T. (2005): The simulation of action disorganisation in complex activities of daily living. Cognitive Neuropsychology, 22, 959-1004.
  • Ruh, N., Cooper, R. P., & Mareschal, D. (2005): Routine action: Combining familiarity and goal orientedness. In Bryson, J. J., Prescott, T. J., & Seth, A. K. (eds.), Modelling Natural Action Selection. Edinburgh. pp. 174-179.
  • Ruh, N., Cooper, R. P., & Mareschal, D. (2005): The time course of routine action. In Bara, B. G., Barsalou, L., & Bucciarelli, M. (eds.), Proceedings of the 27th International Conference of the Cognitive Science Society. Stresa, Italy. pp. 1889-1894. July.
  • Ruh, N., Cooper, R. P., & Mareschal, D. (2005): A reinforcement model of sequential routine action. In Honkela, T., Köhönen, V., Pöllä, M., & Simula, O. (eds.), Proceedings of International and Interdisciplinary Conference on Adaptive Knowledge Representation and Reasoning. Espoo, Finland. pp. 65-70. June.
  • Westermann, G. & Mareschal, D. (2005). Connectionist modelling. In Hopkins, B., Barr, R. G., Michel, G. F., & Rochat, P. (Eds.) Cambridge Encyclopaedia of Child Development. 305-308. Cambridge, UK: Cambridge University Press.

2004

  • Leech, R. & Mareschal, D. (2004): Connectionist modelling of the development of analogical completion. AISB Quarterly Newsletter, 18, 4-5.
  • Leech, R., Mareschal, D., & Cooper, R. P. (2004): A temporal attractor framework for the development of analogical completion. In Bowman, H. & Labiouse, C. (eds.), Connectionist Models of Cognition and Perception II. pp. 201-210. World Scientific: Singapore.
  • Sirois, S. & Mareschal, D. (2004): An interacting systems model of infant habituation. Journal of Cognitive Neuroscience 16, 1352-1362.
  • Westermann, G. &, Mareschal, D. (2004): Modelling asymmetric infant categorization with the representational acuity hypothesis. In Howe, P. & Labouise, C. (Eds.) Connectionist models of cognition and perception II: Proceedings of the Eighth Neural Computation and Psychology Workshop (NCPW8). 95-104. London, UK: World Scientific.

2003

  • Cooper, R. P. (2003): Organisation and disorganisation of complex sequential activities. In Detje, F., Dörner, D., & Schaub, H. (eds.), Proceedings of the Fifth International Conference on Cognitive Modelling. Bamberg, Deutschland. pp. 51-56. April.
  • Cooper, R. P. (2003): Mechanisms for the generation and regulation of sequential behaviour. Philosophical Psychology, 16, 389-416.
  • Cooper, R. P. & Yule, P. (2003): An introduction to the COGENT cognitive modelling environment. In Detje, F., Dörner, D., & Schaub, H. (eds.), Proceedings of the Fifth International Conference on Cognitive Modelling. Bamberg, Deutschland. pp. 315. April.
  • Cooper, R. P., Yule, P., & Fox, J. (2003): Cue selection and category learning: A systematic comparison of three theories. Cognitive Science Quarterly, 3, 143-182.
  • Leech, R., Mareschal, D., & Cooper, R. P. (2003): A connectionist account of analogical development. In Alterman, R. & Kirsh, D. (eds.), Proceedings of the 25th International Conference of the Cognitive Science Society. Boston, MA. pp. 710-715. August.
  • Mareschal, D. (2003). Connectionist models of learning and development in infancy. In Quinlan, P. (Ed.), Connectionist Models of Development. 43-82. Hove, UK: Psychology Press.
  • Mareschal, D. (2003). Computational Models of Cognitive Development. In Nadel, L. (Ed.), Encyclopaedia of Cognitive Science. 533-39.  London, UK: Macmillan.
  • Yule, P. & Cooper, R. P. (2003): Express: A web-based technology to support human and computational experimentation. Behavior Research Methods, Instruments, & Computers, 35, 605-613.

2002

  • Cooper, R. P. (2002): Two closely related simulations provide weak limits on Residual Normality. Behavioral and Brain Sciences, 25, 754-755.
  • Cooper, R. P. (2002): Order and disorder in everyday action: The roles of contention scheduling and supervisory attention. Neurocase, 8, 61-79.
  • Cooper, R. P. (2002): Control and communication in mental computation. Computational Intelligence, 18, 29-31.
  • Cooper, R. P. (2002): Modelling High-Level Cognitive Processes. Lawrence Erlbaum Associates: Mahwah, NJ.
  • French, R. M., Mermillod, M., Chauvin, A., Quinn, P.C., & Mareschal, D. (2002).  The importance of starting blurry: Simulating improved basic-level category learning in infants due to weak visual acuity. In Proceedings of the twenty -fourth annual conference of the Cognitive Science Society. London: LEA.
  • Mareschal, D. (2002). Connectionist methods in infancy research. In Fagen, J. & Hayne, H. (Eds.), Progress in Infancy Research, Vol. 2. 71-119. Erlbaum. (Formerly Advances in Infancy Research).
  • Mareschal, D. & Johnson, S. P. (2002) Learning to perceive object unity: A connectionist account. Developmental Science 5, 151-172.
  • Sirois, S. & Mareschal, D. (2002) Models of infant habituation. Trends in Cognitive Sciences 6, 293-98.
  • Sirois, S. & Mareschal, D. (2002). Infant habituation: a review of current computational models and a new proposal.  In Bullinaria, J. (Ed.), Proceedings of the Seventh Neural Computation and Psychology Workshop (NCPW7). 51-63. London, UK: World Scientific Press.

2001

  • Cooper, R. P. (2001): The role of object-oriented concepts in cognitive models. Trends in Cognitive Sciences, 5, 333.
  • Cooper, R. P. & Glasspool, D. W. (2001): Learning action affordances and action schemas. In French, R. M. & Sougné, J. (eds.), Connectionist Models of Learning, Development and Evolution. pp. 133-142. Springer-Verlag: London.
  • French, R. M., Mermillod, M., Quinn, P.C., Mareschal, D. (2001). Reversing category exclusivities in infant perceptual categorisation: Simulation and data. In J. D. Moore & K. Stenning (Eds), Proceedings of the twenty-third annual conference of the Cognitive Science Society. 307-312. London: LEA.
  • Schafer, G. & Mareschal, D. (2001). Modeling infant speech sound discrimination using simple associative networks. Infancy 2, 7-28.
  • Thomas, M. S. C. & Mareschal, D. (2001) Metaphor as categorisation: A connectionist implementation. Metaphor and Symbol 16, 5-27.
  • Thomas, M. S. C., Mareschal, D., & Hinds, A. C. (2001), A connectionist account of the emergence of the literal-metaphorical-anomalous distinction in young children. In Proceedings of the twenty-third annual conference of the Cognitive Science Society. 1042-1047. London: LEA.
  • Yule, P. & Cooper, R. P. (2001): Towards a technology for computational experimentation. In Altmann, E., Cleeremans, A., Schunn, C. D., & Gray, W. D. (eds.), Proceedings of the 4th International Conference on Cognitive Modelling. Fairfax, VA. pp. 223-228. July.

2000

  • Cooper, R. P. & Shallice, T. (2000): Contention Scheduling and the control of routine activities. Cognitive Neuropsychology, 17, 297-338. PDF
  • Mareschal, D. (2000). Connectionist modelling and infant development. In Muir, D. and Slater, A.M. (Eds). Essential Readings in Psychology: Infant Development. 55-65. Oxford and Massachusetts: Blackwell Publishers Ltd.
  • Mareschal, D., French, R. M., Quinn, P. (2000). A connectionist account of asymmetric category learning in infancy. Developmental Psychology 36, 635-645.
Computational Cognitive Neuroscience Laboratory
Computational Cognitive Neuroscience Laboratory
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