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Article

Thomas, Michael and Ojinaga Alfageme, Olatz and D'Souza, H. and Patkee, P. and Rutherford, M. and Mok, K. and Hardy, J. and LonDownS Consortium, - and Karmiloff-Smith, Annette (2020) A multi-level developmental approach to exploring individual differences in Down syndrome: genes, brain, behaviour, and environment. Research in Developmental Disabilities 104 (103638), ISSN 0891-4222.

Kohli, Maitrei and Magoulas, George D. and Thomas, Michael (2020) Evolving Connectionist Models to capture population variability across language development: modelling children’s past tense formation. Artificial Life 26 (2), pp. 217-241. ISSN 1064-5462.

Mareschal, Denis and Thomas, Michael (2007) Computational modeling in developmental psychology. IEEE Transactions on Evolutionary Computation 11 (2), pp. 137-150. ISSN 1089-778X.

Thomas, Michael and Johnson, Mark (2006) The computational modelling of sensitive periods. Developmental Psychobiology 48 (4), pp. 337-344. ISSN 0012-1630.

Karmiloff-Smith, Annette and Thomas, Michael (2005) Les troubles du developpement viennent-ils confirmer les arguments de la psychologie evolutionniste? Une approche neuro-constructiviste. Revue française de pédagogie 152 , pp. 11-19. ISSN 2105-2913.

Thomas, Michael (2005) Plotting the causes of developmental disorders. Trends in Cognitive Sciences 9 (10), pp. 465-466. ISSN 1364-6613.

Karmiloff-Smith, Annette and Thomas, Michael and Annaz, D. and Humphreys, K. and Ewing, S. and Grice, S. and Brace, N. and Van Duuren, M. and Pike, G. and Campbell, R. (2004) Exploring the Williams syndrome face processing debate: the importance of building developmental trajectories. Journal of Child Psychology and Psychiatry and Allied Disciplines 45 (7), pp. 1258-1274. ISSN 0021-9630.

Thomas, Michael (2004) From scientific research to intervention in Williams Syndrome. Williams Syndrome Foundation UK Magazine ,

Thomas, Michael (2004) How do simple connectionist networks achieve a shift from 'featural' to 'correlational' processing in categorization? Infancy 5 (2), pp. 199-207. ISSN 1525-0008. (Unpublished)

Thomas, Michael (2004) The state of connectionism in 2004. Parallaxis Journal 8 , pp. 43-61.

Thomas, Michael (2003) Limits on plasticity. Journal of Cognition and Development 4 (1), pp. 99-121. ISSN 1524-8372.

Thomas, Michael (2003) Multiple causality in developmental disorders: methodological implications from computational modelling. Developmental Science 6 (5), pp. 537-556. ISSN 1363-755X.

Ansari, D. and Donlan, C. and Thomas, Michael and Ewing, S. and Peen, T. and Karmiloff-Smith, Annette (2003) What makes counting count? verbal and visuo-spatial contributions to typical and atypical number development. Journal of Experimental Child Psychology 85 (1), pp. 50-62. ISSN 0022-0965.

Thomas, Michael (2002) Development as a cause in developmental disorders: (commentary on 'control and cross‐domain mental computation: evidence from language breakdown' by William Frawley). Computational Intelligence 18 (1), pp. 50-54. ISSN 0824-7935.

Thomas, Michael and Karmiloff-Smith, Annette (2002) Residual normality: friend or foe? Behavioral and Brain Sciences 25 (6), pp. 772-780. ISSN 0140-525X.

Thomas, Michael and Grant, J. and Barham, Z. and Gsodl, M. and Laing, E. and Lakusta, L. and Tyler, L.K. and Grice, S. and Paterson, S. and Karmiloff-Smith, Annette (2001) Past tense formation in Williams Syndrome. Language and Cognitive Processes 16 (2/3), pp. 143-176. ISSN 0169-0965.

Book Review

Thomas, Michael (2006) Williams syndrome: fractionations all the way down? [Book Review]

Book Section

Richardson, F.M. and Baughman, F.D. and Forrester, N.A. and Thomas, Michael (2006) Computational modeling of variability in the balance scale task. In: Fum, D. and Del Missier, F. and Stocco, A. (eds.) Proceedings of the 7th International Conference of Cognitive Modeling. Edizioni Goliardiche. ISBN 9788878730311.

Richardson, F.M. and Forrester, N.A. and Baughman, F.D. and Thomas, Michael (2006) Computational modeling of variability in the conservation task. In: Sun, R. and Miyake, N. (eds.) Proceedings of the 28th Annual Conference of the Cognitive Science Society. CRC Press, pp. 2010-2015. ISBN 9780805862966.

Thomas, Michael and Richardson, F.M. (2006) What is modularity good for? In: Sun, R. and Miyake, N. (eds.) The Proceedings of the 28th Annual Conference of the Cognitive Science Society. CRC Press, pp. 2240-2245. ISBN 9780805862966.

Thomas, Michael and Richardson, F. (2005) Atypical representational change: conditions for the emergence of atypical modularity. In: Munakata, Y. and Johnson, M. (eds.) Attention and Performance XXI. Oxford: Oxford University Press, pp. 315-347. ISBN 0198568746.

Monograph

Fedor, A. and Best, W. and Masterson, J. and Thomas, Michael (2013) Towards identifying principles for clinical intervention in developmental language disorders from a neurocomputational perspective. Technical Report. Develomental Neurocognition Laboratory, London, UK.

Thomas, Michael and Purser, H.R.M. and Mareschal, Denis (2012) Synthetic brain imaging diagramming algorithm. Technical Report. Develomental Neurocognition Laboratory, London, UK.

Thomas, Michael and Ronald, A. and Forrester, A. (2011) Parameter definitions and specifications for population modelling simulations of English past-tense acquisition. Technical Report. Develomental Neurocognition Laboratory, London, UK.

Thomas, Michael and Knowland, V.C.P. and Karmiloff-Smith, Annette (2011) Simulating variability in the severity of developmental disorders. Technical Report. Develomental Neurocognition Laboratory, London, UK.

Thomas, Michael and Richardson, F.M. and Forrester, N.A. and Baughman, F.D. (2010) Modelling individual variability in cognitive development. Technical Report. Develomental Neurocognition Laboratory, London, UK.

Thomas, Michael (2009) Modelling the mechanisms underlying population variability across development: simulating genetic and environmental effects on cognition. Technical Report. Develomental Neurocognition Laboratory, London, UK.

Conference or Workshop Item

Stamate, Cosmin and Magoulas, George and Thomas, Michael (2021) Deep learning topology-preserving EEG-based images for autism detection in infants. In: 22nd International Conference on Engineering Applications of Neural Networks, 25-27 June 2021, Crete, Greece (online).