Références

• Annaz D., Karmiloff-Smith A., Johnson M. H., & Thomas M. S. (2009). A cross-syndrome study of the development of holistic face recognition in children with autism, down syndrome, and williams syndrome. Journal of Experimental Child Psychology, 102(4), 456–486.
• Bates E., & Roe K. (2001). Language development in children with unilateral brain injury. In C. Nelson & M. Luciana (Eds.), Handbook of developmental cognitive neuroscience (pp. 281–307). Cambridge, MA: MIT Press.
• Baughman F. D., & Thomas M. S. C. (2008). Specific impairments in cognitive development: A dynamical systems approach. In Cognitive science. In B. C. Love, K. McRae & V. M. Sloutsky (Eds.), Proceedings of the 30th Annual Conference of the Cognitive Science Society (pp. 1819–1824). Austin, TX: Cognitive Science Society.
• Becker L. E., Armstrong D. L., & Chan F. (1986). Dendritic atrophy in children with Down’s syndrome. Annals of Neurology, 20(4), 520–526.
• Bishop D. V. M. (2006). Developmental cognitive genetics: how psychology can inform genetics and vice versa. Quarterly Journal of Experimental Psychology, 59, 1153–1168.
• Cameron J. L. (2001). Effects of sex hormones on brain development. In C. A. Nelson & M. Luciana (Eds.), Handbook of developmental cognitive neuroscience (pp. 59–78). Cambridge, Mass: MIT Press.
• Cardoso-Martins C., Mervis C. B., & Mervis C. A. (1985). Early vocabulary acquisition by children with down syndrome. American Journal of Mental Deficiency, 90(2), 177–184.
• Chapman R. S., Hesketh L. J., & Kistler D. J. (2002). Predicting longitudinal change in language production and comprehension in individuals with down syndrome: Hierarchical linear modeling. Journal of Speech, Language & Hearing Research, 45(5).
• Chugani D. C., Muzik O., Behen M., Rothermel R., Janissee J. J., Lee J. & Chugani H. T. (1999). Developmental changes in serotonin synthesis capacity in autistic and non-autistic children. Annals of Neurology, 45, 287–295.
• Dammann O., & Follett P. (2011). Toward multi-scale computational modeling in developmental disability research. Neuropediatrics, 42(3), 90–96.
• Davelaar E. J., & Usher M. (2002). An activation-based theory of immediate item memory. In Proceedings of the seventh neural computation and psychology workshop: Connectionist models of cognition and perception (pp. 118–130). Singapore: World Scientific.
• Elman J. L., Bates E., Johnson M. H., Karmiloff-Smith A., Parisi D., & Plunkett K. (1996). Rethinking innateness: A connectionist perspective on development. Cambridge, MA: MIT Press.
• Frith U., Morton J., & Leslie A. M. (1991). The cognitive basis of a biological disorder: Autism. Trends in Neurosciences, 14(10), 433–438.
• Gottlieb G. (2002). Emergence of the developmental manifold concept from an epigenetic analysis of instinctive behavior. In D. Lewkowicz & R. Lickliter (Eds.), Conceptions of development: Lessons from the laboratory (pp. 31–56). New York: Psychology Press.
• Gottlieb G. (2007). Probabilistic epigenesis. Developmental Science, 10(1), 1–11.
• Grice S. J., Spratling M. W., Karmiloff-Smith A., Halit H., Csibra G., de Haan M., & Johnson M. H. (2001). Disordered visual processing and oscillatory brain activity in autism and williams syndrome. Neuroreport, 12(12), 2697–2700.
• Gross R. (2010). Psychology: The Science of Mind and Behaviour (6^th Ed.). London, UK: Hodder Education.
• Hodapp R. M., Burack J. A., & Zigler E. (1990). The developmental perspective in the field of mental retardation. Issues in the Developmental Approach to Mental Retardation, 3–26.
• Jarrold C., & Brock J. (2004). To match or not to match? Methodological issues in autism-related research. Journal of Autism and Developmental Disorders, 34(1), 81–86.
• Johnson M. H. (2000) Functional brain development in infants: Elements of an interactive specialization framework. Child Development, 71: 75–81.
• Johnson M. H. (2001) Functional brain development in humans. Nature Reviews Neuroscience, 2, 475–483.
• Johnston T. D., & Lickliter R. (2009). A developmental systems theory perspective on psychological change. In J.P. Spencer, M.S.C. Thomas & J.L. McClelland (Eds), Toward a new grand theory of development? Connectionism and dynamic systems theory re-considered, (pp. 285–298). Oxford, UK: Oxford University Press
• Karmiloff-Smith A. (1992) Beyond Modularity: A Developmental Perspective on Cognitive Science . Cambridge, Mass.: MIT Press/Bradford Books.
• Karmiloff-Smith A. (1998). Development itself is the key to understanding developmental disorders. Trends in Cognitive Sciences, 2(10), 389–398.
• Karmiloff-Smith A. (2006). The tortuous route from genes to behavior: A neuroconstructivist approach. Cognitive, Affective, & Behavioral Neuroscience, 6(1), 9–17.
• Karmiloff-Smith A. (2009). Nativism versus neuroconstructivism: Rethinking the study of developmental disorders. Developmental Psychology, 45(1), 56.
• Karmiloff-Smith A., Tyler L. K., Voice K., Sims K., Udwin O., Howlin P., & Davies M. (1998). Linguistic dissociations in williams syndrome: Evaluating receptive syntax in on-line and off-line tasks. Neuropsychologia, 36(4), 343–351.
• Knowland V. C. P. & Thomas M. S. C. (2011). Developmental trajectories in genetic disorders. In D. J. Fidler (Ed.), Early development in neurogenetic disorders. San Diego: Elsevier Inc., 43–74.
• Leonard L. B. (1998). Children with specific language impairment. Cambridge, MA: MIT press.
• Mareschal D., Johnson M., Sirois S., Spratling M., Thomas M. S. C., & Westermann G. (2007). Neuroconstructivism: How the brain constructs cognition. Oxford: Oxford University Press.
• Mareschal D., Sirois S., Westermann G., & Johnson M. H. (2007). Neuroconstructivism vol. 2: Perspectives and prospects. Oxford: Oxford University Press.
• Marr D. (1982). Vision: A computational investigation into the human representation and processing of visual information. New York: Henry Holt and co. Inc..
• McClelland J. L., McNaughton B. L., & O’Reilly R. C. (1995). Why there are complementary learning systems in the hippocampus and neocortex: Insights from the successes and failures of connectionist models of learning and memory. Psychological Review, 102(3), 419–457.
• Morton J. B., & Munakata Y. (2002). Active versus latent representations: A neural network model of perseveration, dissociation, and decalage in childhood. Developmental Psychobiology, 40, 255–265.
• Munakata Y. (1998). Infant perseveration and implications for object permanence theories: A PDP model of the AB task. Developmental Science, 1(2), 161–184.
• Munakata Y., & McClelland J. L. (2003). Connectionist models of development. Developmental Science, 6(4), 413–429.
• O’Reilly R.C., Hazy T.E. & Herd S.A. (in press). The Leabra Cognitive Architecture: How to Play 20 Principles with Nature and Win. In S. Chipman (Ed.) Oxford Handbook of Cognitive Science. Oxford: Oxford University Press.
• O’Reilly R. C., Herd S. A., & Pauli W. M. (2010). Computational models of cognitive control. Current Opinion in Neurobiology, 20(2), 257–261.
• Paterson S. J., Brown J. H., Gsödl M. K., Johnson M. H., & Karmiloff-Smith A. (1999). Cognitive modularity and genetic disorders. Science, 286(5448), 2355–2358.
• Piaget J. (1954). The construction of reality in the child (M. Cook, trans.). New York: Ballantine. (Original work published 1937).
• Price C. J., & Friston K. J. (2005). Functional ontologies for cognition: The systematic definition of structure and function. Cognitive Neuropsychology, 22(3–4), 262–275.
• Quartz S., & Sejnowski T. J. (1997). The neural basis of cognitive development: A constructivist manifesto. Behavioral and Brain Sciences, 20(4), 537–596.
• Quinlan P. T. (2003). Connectionist models of development: Developmental processes in real and artificial neural networks, Psychology Press, New York.
• Rice M. L. (2004). Growth models of developmental language disorders. In M. L. Rice & S. F. Warren (Eds.), Developmental language disorders: From phenotypes to etiologies (pp. 207–240). Mahwah, NJ: Lawrence Erlbaum.
• Rice M. L., Warren S. F., & Betz S. K. (2005). Language symptoms of developmental language disorders: An overview of autism, Down syndrome, Fragile X, specific language impairment, and Williams syndrome. Applied Psycholinguistics, 26(1), 7–27.
• Shaywitz B. A., Shaywltz S. E., Pugh K. R., Constable R. T., Skudlarski P., Fulbright R. K., … Katz L. (1995). Sex differences in the functional organization of the brain for language. Nature, 373, 607–609.
• Sieratzki J. S., & Woll B. (1998). Toddling into language: Precocious language development in children with spinal muscular atrophy . In Proceedings of the 22nd annual boston university conference on language development (A. Greenhill, M. Hughes, H. Littlefield & H. Walsh. Eds., Vol. 2, pp. 684–694). Cascadilla Press.
• Singer Harris N. G., Bellugi U., Bates E., Jones W., & Rossen M. (1997). Contrasting profiles of language development in children with williams and down syndromes. Developmental Neuropsychology, 13(3), 345–370.
• Sirois S., Spratling M., Thomas M. S., Westermann G., Mareschal D., & Johnson M. H. (2008). Précis of neuroconstructivism: How the brain constructs cognition. Behavioural and Brain Sciences, 31(3), 321–331.
• Southern J., Pitt-Francis J., Whiteley J., Stokeley D., Kobashi H., Nobes R., … Gavaghan D. (2008). Multi-scale computational modelling in biology and physiology. Progress in Biophysics and Molecular Biology, 96(1), 60–89.
• Spencer J. P., Thomas M. S., & McClelland J. L. (2009). Toward a unified theory of development: Connectionism and dynamic systems theory re-considered. Oxford, UK: Oxford University Press.
• Sporns O. (2014). Contributions and challenges for network models in cognitive neuroscience. Nature Neuroscience, 17(5), 652–660.
• Thelen E., & Smith L. B. (1994). A dynamic systems approach to the development of cognition and action. Cambridge, Mass.: MIT Press.
• Thomas M. (2000). Neuroconstructivism’s promise. Developmental Science, 3, 35–37.
• Thomas M. S., Annaz D., Ansari D., Scerif G., Jarrold C., & Karmiloff-Smith A. (2009). Using developmental trajectories to understand developmental disorders. Journal of Speech, Language and Hearing Research, 52(2), 336–358.
• Thomas M. S. C., Baughman F. D., Karaminis T., & Addyman C. J. M. (2012). Modelling developmental disorders. In C. Marshall (Ed.), Current issues in developmental disorders. London, UK: Psychology Press, 93–124.
• Thomas M. S. C., Dockrell J. E., Messer D., Parmigiani C., Ansari D., & Karmiloff-Smith A. (2006). Speeded naming, frequency, and the development of the lexicon in Williams syndrome. Language and Cognitive Processes, 21, 721–759.
• Thomas M. S. C., Forrester N. A., & Ronald A. (2013). Modeling socioeconomic status effects on language development. Developmental Psychology, 49(12), 2325–2343.
• Thomas M. S. C., Forrester N. A., & Ronald A. (submitted). Multi-scale modeling of gene-behavior associations in an artificial neural network model of cognitive development. Manuscript submitted for publication
• Thomas M. S. C., Grant J., Barham Z., Gsödl M., Laing E., Lakusta L., Tyler L. K., Grice S., Paterson S. & Karmiloff-Smith A. (2001). Past tense formation in Williams syndrome. Language and Cognitive Processes, 16, 143–176.
• Thomas M. S. C., & Johnson M. H. (2008). New advances in understanding sensitive periods in brain development. Current Directions in Psychological Science, 17(1), 1–5.
• Thomas M., & Karmiloff-Smith A. (2002). Are developmental disorders like cases of adult brain damage? Implications from connectionist modelling. Behavioural and Brain Sciences, 25(6), 727–750.
• Thomas M. S. C. & Knowland V. C. P. (2014). Modelling mechanisms of persisting and resolving delay in language development. Journal of Speech, Language, and Hearing Research, 57(2), 467–483
• Thomas M. S. C., Knowland V. C. P., & Karmiloff-Smith A. (2011a). Mechanisms of developmental regression in autism and the broader phenotype: A neural network modeling approach. Psychological Review, 118(4), 637–654.
• Thomas M. S. C., Knowland V. C. P., & Karmiloff-Smith A. (2011b). Variability in the severity of developmental disorders: A neurocomputational account of developmental regression in autism. In: E. Davelaar (Ed.), Proceedings of the 12th Neurocomputational and Psychology Workshop, (p. 309–325). World Scientific.
• Thomas M. S. C., & McClelland J. L. (2008). Connectionist models of cognition. In R. Sun (Ed.), Cambridge handbook of computational cognitive modelling Cambridge: Cambridge University Press, 23–58.
• Thomas M. S. C., Purser H. R. M., & Richardson F. M. (2013). Modularity and developmental disorders. In P. D. Zelazo (Ed), Oxford Handbook of Developmental Psychology. Oxford, UK: Oxford University Press, 481–506.
• Thomas M. S., Purser H. R., & van Herwegen J. (2011). The developmental trajectories approach to cognition. In E. K. Farran & A. Karmiloff-Smith (Eds), Neurodevelopmental disorders across the lifespan: A Neuroconstructivist approach. Oxford: Oxford University Press.
• Thomas M. S. C., Westermann G., Mareschal D., Johnson M. H., & Spratling M. (2008). Studying development in the 21st Century. Behavioral and Brain Sciences, 31(3), 345–356.
• Usher M., & McClelland J. L. (2001). The time course of perceptual choice: The leaky, competing accumulator model. Psychological Review, 108(3), 550.
• van Geert P. (1991). A dynamic systems model of cognitive and language growth. Psychological Review, 98(1), 3–53.
• van der Lely H. K. J. (2005). Domain-specific cognitive systems: Insight from Grammatical specific language impairment. Trends in Cognitive Sciences, 9(2), 53–59
• Westermann G., Mareschal D., Johnson M. H., Sirois S., Spratling M. W., & Thomas M. S. (2007). Neuroconstructivism. Developmental Science, 10(1), 75–83.
• Westermann G., Sirois S., Shultz T. R., & Mareschal D. (2006). Modeling developmental cognitive neuroscience. Trends in Cognitive Sciences, 10(5), 227–232.
• Westermann G., Thomas M. S. C., & Karmiloff-Smith A. (2010). Neuroconstructivism. In Goswami U. (Ed.), Blackwell Handbook of Child Development, Oxford: Blackwells, 723-748.