Rogers, T. T. and McClelland, J. L. (2004). Semantic
Cognition: A Parallel Distributed Processing Approach.
McClelland, J. L. and Vander Wyk, Brent. (2006). Graded constraints in
English word forms. Working manuscript, Department of Psychology,
McClelland, J. L. and Vallabha, G. (in press). Connectionist models of development: Mechanistic dynamical models with emergent dynamical properties. 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. Oxford University Press.[PDF]
Thomas, M. S. C. and McClelland, J. L. (in press). Connectionist models of cognition. In R. Sun (Ed). Cambridge handbook of computational psychology. Cambridge University Press.[PDF]
Thomas, M. S. C., McClelland, J. L., Richardson, F. M., Schapiro, A. C. and Baughman, F. (in press). Dynamical and Connectionist Approaches to Development: Toward a Future of Mutually Beneficial Co-evolution. 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. Oxford University Press.[PDF]
Dilkina, K., McClelland, J. L. and Plaut, D. C. (2008). A single-system account of semantic and lexical deficits in five semantic demntia patients. Cognitive Neuropsychology. [PDF(epub).]
Mirman, D., McClelland, J. L., Holt, L. L., and Magnuson, J. S. (in press). Effects of attention on the strength of lexical influences on Speech Perception: Behavioral Experiments and Computational Mechanisms. Cognitive Science, 32,398-417. [PDF.]
Usher, M., Elhalal, A. and McClelland, J. L. (2008). The neurodynamics of choice, value-based decisions, and preference reversal. In Chater, N. and Oaksford, M. The Probabilistic Mind. New York: Oxford University Press. pp 278-300. [PDF.]
Bogacz,R., Usher, M., Zhang, J. and McClelland, J. L. (2007). Extending a biologically inspired model of choice: multi-alternatives, nonlinearity and value-based multidimensional choice. Theme issue on Modeling Natural Action Selection. Philosophical Transactions of the Royal Society: B. Biological Sciences. 362. 1655-1670.[PDF.]
Dilkina, K., McClelland, J. L. and Borodetsky, L. (2007). How language affects thought in a connectionist model. Proceedings of 29th Annual Meeting of the Cognitive Science Society. [PDF.]
Lupyan, G., Rakison, D. H. and McClelland, J. L. (2007). Language is not just for talking: redundant labels facilitate learning of novel categories. Psychological Science, 18(12), 1077-1083. [PDF.]
McClelland, J. L. and Bybee, J. (2007). Gradience of Gradience: A reply to Jackendoff. The Linguistic Review, 24, 437-455. [PDF.]
McClelland, J. L. and Thompson, R. M. (2007). Using Domain-General Principles to Explain Children's Causal Reasoning Abilities. Developmental Science, 10(3), 333-356. [PDF.]
Mechelli, A., Josephs, O., Lambon Ralph, M. A., McClelland, J. L., and Price, C. J. (2007). Dissociating stimulus-driven semantic and phonological effects during reading and naming. Human Brain Mapping, 28, 205-217. [PDF.]
Vallabha, G. K. and McClelland, J. L. (2007). Success and failure of new speech category learning in adulthood: Consequences of learned Hebbian attractors in topographic maps. Cognitive, Affective and Behavioral Neuroscience, 7, 53-73.[PDF.]
Vallabha, G. K., McClelland, J. L., Pons, F., Werker, J. and Amano, S. (2007). Unsupervised learning of vowel categories from infant-directed speech. Proceedings of the National Academy of Science, 104, 13273-13278. [PDF.] [Supplementary Info. PDF.]
Criss, A. and McClelland, J. L. (2006). Differentiating the differentiation models: A comparison of the retrieving effectively from memory model (REM) and the subjective likelihood model (SLiM). Journal of Memory and Language, 55, 447-460. [PDF.]
McClelland, J. L. (2006). How far can you go with Hebbian learning, and when
does it lead you astray? In Munakata, Y. and Johnson, M. H. Processes of
Change in Brain and Cognitive Development: Attention and Performance XXI.
pp. 33-69.
McClelland, J. L. Mirman, D., and Holt, L. L. (2006). Are there interactive processes in speech perception? Trends in Cognitive Sciences, 10(8), pp. 363-369. [PDF.] Reply by McQueen, Norris and Cutler [PDF.] Response to reply by Mirman, McClelland and Holt [PDF.]
Mirman, D., McClelland, J. L. and Holt, L. L. (2006). An interactive Hebbian account of lexically guided tuning of speech perception. Psychonomic Bulletin and Review, 13(6), 958-965. [PDF.]
Moldakarimov, S. B., McClelland, J. L., and Ermentrout, G. B. (2006). A
homeostatic rule for inhibitory synapses promotes temporal sharpening and
cortical reorganization. Proceedings of the
Tricomi, E., Delgado, M. R., McCandliss, B. D., McClelland, J. L. and Fiez, J. A. (2006). Performance feedback drives caudate activation in a phonological learning task. Journal of Cognitive Neuroscience, 18, 1029-1043. [PDF.]
Bybee, J. and McClelland, J. L. (2005). Alternatives to the combinatorial paradigm of linguistic theory based on domain general principles of human cognition. The Linguistic Review, 22(2-4), 381-410. [PDF.]
Lambon Ralph, M. A., Braber, N., McClelland, J. L. and Patterson, K. (2005). What underlies the neuropsychological pattern of irregular > regular past-tense verb production? Brain and Language. [PDF. Related article by Braber, Ellis, Lambon Ralph and Patterson [PDF.]
Mechelli, A., Crinion, J. T., Long, S., Friston, K. J., Lambon Ralph, M. A., Patterson, K., McClelland, J. L., and Price, C. J. (2005). Dissociating reading processes on the basis of neuronal interactions. Journal of Cognitive Neuroscience, 17(11), 1753-1765. [PDF.]
Mirman, D., McClelland, J. L. and Holt, L. L. (2005). Computational and behavioral investigations of lexically induced delays in phoneme recognition. Journal of Memory and Language, 52, 424-443. [PDF.]
Rogers, T. T., and McClelland, J. L. (2005). A parallel distributed processing approach to semantic cognition: Applications to conceptual development. In L. Gershkoff-Stowe and D. Rakison (Eds), Building Object Categories in Developmental Time.. [PDF.]
Maia, T. V. and McClelland, J. L. (2004). A re-examination
of the evidence for the somatic marker hypothesis: What participants know in
the
Mirman, D., Holt, L. L. and McClelland, J. L. (2004). Categorization and
discrimination of non-speech sounds: Differences between steady-state and
rapidly-changing acoustic cues. Journal of the Acoustical Society of
Rogers, T. T., Lambon Ralph, M. A., Garrard, P., Bozeat, S., McClelland, J. L., Hodges, J. R., and Patterson, K. (2004). The structure and deterioration of semantic memory: A neuropsychological and computational investigation. Psychological Review, 111, 205-235. [PDF.]
Rogers, T. T., & McClelland, J. L. (2004). Semantic
Cognition: A Parallel Distributed
Processing Approach.
Rogers, T. T., Rakison, D. and McClelland, J. L. (2004). U-shaped curves in development: A PDP approach. Contribution to a special issue on U-shaped changes in behavior and their implications for cognitive development. Journal of Cognition and Development, 5, 137-145. [PDF.]
Usher, M. and McCelland, J. L. (2004). Loss aversion and inhibition in dynamical models of multi-alternative choice. Psychological Review, 111, 757-769. [PDF.]
Bird, H., Lambon Ralph, M. A., Seidenberg, M.S., McClelland, J.L., and Patterson, K. (2003). Deficits in phonology and past-tense morphology: What's the connection? Journal of Memory and Language, 48, 502-526. [PDF.]
Lupyan, G. and McClelland, J. L. (2003). Did, made, had, said: Capturing quasi-regularity in exceptions. Proceedings of the Annual Meeting of the Cognitive Science Society, 2003. [PDF.]
McClelland, J. L., & Patterson, K. (2003). Differentiation and integration in human
language: A reply to Marslen-Wilson
and
McClelland, J. L., Plaut, D. C., Gotts, S. J. and Maia, T. V. (2003). Developing a domain-general framework for cognition: What is the best approach? Commentary on a target article by Anderson and Lebiere. Behavioral and Brain Sciences, 22,, 611-614. [HTML.] [Target Article PDF with Commentaries.]
McClelland, J. L. and Rogers, T. T. (2003). The parallel distributed processing approach to semantic cognition. Nature Reviews Neuroscience, 4, 310-322. [PDF.]
Munakata, Y. and McClelland, J. L. (2003). Connectionist models of development. Contribution to a special issue on Dynamical Systems and Connectionist Models. Developmental Science, 6:4, 413-429. [PDF.]
Davidson, R. J., Lewis, D. A., Alloy, L. B., Amaral, D. G., Bush, G., Cohen, J. D., Drevets, W. C., Farah, M. J., Kagan, J., McClelland, J. L., Nolen-Hoeksema, S., Peterson, B. S. (2002). Neural and behavioral substrates of mood and mood regulation. Biological Psychiatry, 52, 478-502.
McCandliss, B. D., Fiez, J. A., Protopapas, A.,
McClelland, J. L., Fiez, J.A. and McCandliss, B. D. (2002). Teaching the /r/-/l/ discrimination to Japanese adults: behavioral and neural aspects. Physiology & Behavior, 77, 657-62. [PDF.]
McClelland, J. L. and Lupyan, G. (2002). Double dissociations never license simple inferences about underlying brain organization, especially in developmental cases. Commentary on a target article by Thomas and Karmiloff-Smith. Behavioral and Brain Sciences, 25, 763-764. [HTML.] [Target Article PDF with Commentaries.]
McClelland, J. L. and Patterson, K. (2002). Rules or Connections in Past-Tense inflections: What does the evidence rule out? Trends in Cognitive Sciences. With McClelland, J. L. and Patterson, K. (2002). `Words Or Rules' cannot exploit the regularity in exceptions (Reply to Pinker and Ullman). [Preprint in PDF.]
McClelland, J. L., Patterson, K., Pinker, S. and Ullman, M. (2002). The Past Tense Debate: Papers and replies by S. Pinker and M. Ullman and by J. McClelland and K. Patterson.Trends in Cognitive Sciences, 6,456-474. [ PDF.] Follow-up comment by Marslen-Wilson and Tyler [ PDF] and response by McClelland and Patterson [ PDF].
Usher, M., Olami, Z., and McClelland, J. L. (2002). Hick's law in a stoachastic race model with speed- accuracy tradeoff. Mathematical Psychology, 46, 704-715. [PDF.]
Lambon Ralph, M. A., McClelland, J. L., Patterson, K., Galton, C. J., and Hodges, J. R. (2001). No right to speak? The relationship between object naming and semantic impairment: Neuropsychological evidence and a computational model. Cognitive Neuroscience. 13:3, 341-356. [PDF.]
McClelland, J. L. (2001). Cognitive Neuroscience. In N. J.
Smelser and Paul B. Baltes (Eds.), International Encyclopedia of the Social
& Behavioral Sciences.
McClelland, J. L. (2001). Failures to learn and their remediation: A Hebbian
account. In J. L. McClelland and R. S. Siegler (Eds.) Mechanisms of
Cognitive Development: Behavioral and Neural Approaches.
McClelland, J. L., & Siegler, R. S. (Eds.), (2001). Mechanisms of cognitive development: Behavioral and neural perspectives.Mahwah, NJ: Erlbaum.
Movellan, J.R., and McClelland, J. L. (2001). The Morton-Massaro Law of Information Integration: Implications for Models of Perception. Psychological Review, 108, 113-148. [PDF.]
Patterson, K., Lambon Ralph, M. A., Hodges, J. R., and McClelland, J. L. (2001). Deficits in irregular past-tense verb morphology associated with degraded semantic knowledge. Neuropsychologia, 39, 709-724. [PDF.]
Usher, M., and McClelland, J. L. (2001). On the time course of perceptual choice: The leaky competing accumulator model. Psychological Review, 108, 550-592. [PDF.]
Weng, J., McClelland, J. L., Pentland, A., Sporns, O., Stockman,
Lambon Ralph, M. A., McClelland, J. L., Patterson, K., & Hodges, J. R. (2000). The relationship between semantic memory and speech production: Neuropsychology, neuroanatomy, and neural-net model. Higher Brain Function Research (Shitsugosho Kenkyu), 20, 145-156.
McClelland, J. L. (2000). Connectionist models of memory. In
E. Tulving & F. I. M. Craik (Eds.), The
McClelland, J. L. (2000). The basis of hyperspecificity in autism: a preliminary suggestion based on properties of neural nets. Journal of Autism and Developmental Disorders, 30, 497-2002. [PDF.]
McClelland, J. L., &
Seidenberg, M. S. (2000). Why do kids say goed and brang? Science, 287, 47-48. [PDF.]
Movellan, J. R., & McClelland, J. L. (2000). Information factorization
in connectionist models of perception. In S. A. Solla, T. K. Leen, & K. R.
Muller (Eds.), Advances in neural
information processing systems,
45-51.
Plaut, D. C., and McClelland, J. L. (2000). Stipulating versus discovering representations Behavioral and Brain Sciences, 23. [PDF.]
Stark, C. E. L., & McClelland, J. L. (2000). Repetition priming of words, pseudowords, and nonwords. Journal of Experimental Psychology: Learning, Memory and Cognition, 26, 945-972. [PDF.]
Hasselmo, M. E., & McClelland, J. L. (1999). Neural models of memory. Current Opinion in Neurobiology, 9, 184-188.
McClelland, J. L. (1999). Cognitive modeling, connectionist.
In R. A. Wilson & F. Keil (Eds)., The
MIT Encyclopedia of the Cognitive Sciences.
McClelland, J. L., and Plaut, D. C. (1999). Does generalization in infant learning implicate abstract algebra-like rules? [PDF.]
McClelland, J., Thomas, A., McCandliss, B., and Fiez, J. (1999). Understanding
Failures of Learning: Hebbian Learning, Competition for Representational Space,
and Some Preliminary Experimental Data. In J. Reggia, E. Ruppin and D. Glanzman
(Eds.), Progress in Brain Research. Volume 121. Disorders of Brain,
Behavior and Cognition: The Neurocomputational Perspective,
Cohen, J. D., Usher, M., & McClelland, J. L. (1998). A PDP approach to set size effects within the stroop task. Psychological Review, 105, 188-194. [PDF.]
McClelland, J. L. (1998). Complementary learning systems in
the brain: A connectionist approach to explicit and implicit cognition and
memory. In R. M. Bilder and F. F. LeFever (Eds.) Neuroscience of the Mind on
the Centennial of Freud’s Project for a Scientific Psychology. Annals of the
McClelland, J. L. (1998). Connectionist models and Bayesian
inference. In M. Oaksford & N. Chater (Eds.), Rational Models of
Cognition.
McClelland, J. L. (1998). Role of the hippocampus in learning and memory: A
computational analysis. In. K. H. Pribram (Ed.) Brain and Values: Is a Biological Science of Values Possible.
McClelland, J. L. and Chappell, M. (1998). Familiarity Breeds Differentiation: A Subjective-Likelihood Appoach to the Effects of Experience in Recognition Memory. Psychological Review, 105, 724-760. [PDF.]
O’Reilly, R. C., Norman, K., & McClelland, J. L. (1998). A hippocampal model of recognition
memory. In M. I. Jordan, M. J. Kearns,
& S. A. Solla, (Eds.), Neural
Information Processing Systems, 10, 73-79.
McClelland, J. L. (1997). The neural basis of consciousness
and explicit memory: Reflections on Kihlstrom, Mandler, and Rumelhart. In J. D.
Cohen & J. W. Schooler (Eds.) Scientific
approaches to consciousness.
Munakata, Y., McClelland, J. L., Johnson, M. H. and Siegler, R. S. (1997). Rethinking Infant Knowledge: Toward an Adaptive Process Account of Successes and Failures in Object Permanence Tasks. Psychological Review, 104, 686-713. [PDF.]
Inui, T., & McClelland, J. L. (Eds.) (1996). Attention & Performance XVI:
Information Integration in Perception and Communication.
McClelland, J. L. (1996). Integration of information:
Reflections on the theme of Attention and Performance XVI. In T. Inui & J.
L. McClelland (Eds.), Attention & Performance XVI: Information Integration
in Perception and Communication.
McClelland, J. L. (1996). Neural mechanisms for the control and monitoring
of memory: A parallel distributed processing perspective. In L. Reder, Implicit memory and metacognition.
McClelland, J. L. (1996). Role of the hippocampus in learning and memory: A
computational analysis. In T. Ono, B. L. McNaughton, S. Molitchnikoff, E. T.
Rolls and H. Nichijo (Eds.), Perception Memory, and Emotion: Frontier in
Neuroscience.
McClelland, J. L. and Goddard, N. (1996). Considerations arising from a complementary learning systems perspective on hippocampus and neocortex. Hippocampus, 6, 654-665. [PDF.]
Plaut, D. C., McClelland, J. L., Seidenberg, M. S., and Patterson, K. (1996). Understanding normal and impaired word reading: Computational principles in quasi-regular domains. Psychological Review, 103, 56-115. [PDF.]
McClelland, J. L. (1995). A connectionist approach to
knowledge and development. In T. J. Simon and G. S. Halford (Eds.), Developing
cognitive competence: New approaches to process modeling. pp. 157-204.
McClelland, J. L. (1995). Constructive memory and memory
distortions: A parallel-distributed processing approach. In D. L. Schacter,
(Ed.), Memory Distortion.
McClelland, J. L., McNaughton, B. L., and 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, 419-457. [PDF.] An interview with the authors of this highly cited paper is avaialable [ here].
McClelland, J. L. & Plunkett, K. (1995). Cognitive development. In
Michael A. Arbib (Ed.), The Handbook of
Brain Theory and Neural Networks.
Plaut, D. C., McClelland, J. L., and Seidenberg, M. S. (1995). Reading
exception words and pseudowords: Are two routes really necessary? In J. P.
Levy, D. Bairaktaris, J. Bullinaria, and P. Cairns (Eds.), Connectionist models
of memory and language (pp. 145-159).
Usher, M. and McClelland, J. L. (1995). On the time course of perceptual
choice: A model based on principles of neural computation. Technical Report
PDP.CNS.95.5, Center for the Neural Basis of Cognition,
McClelland, J. L. (1994). The interaction of nature and
nurture in development: A parallel distributed processing perspective. In P.
Bertelson, P. Eelen, & G. d'Ydewalle (Eds.), International Perspectives
on Psychological Science, Volume 1: Leading Themes.
McClelland, J. L. (1994). Learning the general but not the specific. Current Biology, 4, 357-358. [PDF.]
McClelland, J. L. (1994). Comment: Neural networks and cognitive science: Motivations and applications. (Cheng, B. & Titterington, D. M. Neural Networks: A review from a statistical perspective.) Statistical Science, 9, 1, 2-54. [PDF.]
McClelland, J. L. (1994). The organization of memory: A Parallel Distributed Processing perspective. Revue Neurologique (Paris), 150, 8-9, 570-579. [PDF.]
Movellan, J. R., & McClelland, J. L. (1994). Contrastive
learning with graded random networks. In T. Petsche & M. Kearns (Eds.), Computational Learning Theory and Natural
Learning Systems, Vol. 2. MIT Press:
O'Reilly, R. C., and McClelland, J. L. (1994). Hippocampal conjunctive encoding, storage and recall: Avoiding a tradeoff. Hippocampus. [Journal Article PDF.] [Preprint PDF.]
Seidenberg, M. S., Plaut, D. C., Petersen, A. S., McClelland, J. L., & McRae, K. (1994). Nonword pronunciation and models of word recognition. Journal of Experimental Psychology: Human Perception and Performance, 20, 1177-1196. [PDF.]
Stark, C. E., & McClelland, J. L. (1994). Tractable learning of
probability distributions using the contrastive Hebbian algorithm. In Proceedings of the 16th Annual Meeting of
the Cognitive Science Society.
Hoeffner, J. H., and McClelland, J. L. (1993). Can a perceptual processing deficit explain the impairment of inflectional morphology in developmental dysphasia? A computational investigation. Proceedings of the 25th Annual Child Language Research Forum. [PDF.; Related paper by Hoeffner [PDF.]
McClelland, J. L. (1993). Toward a theory of information
processing in graded, random, interactive networks. In D. E. Meyer and
McClelland, J. L., and Plaut, D. C. (1993). Computational approaches to cognition: Top-down approaches. [PDF.]
Movellan, J. R., & McClelland, J. L. (1993). Learning continuous probability distributions with symmetric diffusion networks. Cognitive Science, 17, 463-496. [PDF.]
Plaut, D. C., and McClelland, J. L. (1993). Generalization with componential attractors: Word and nonword reading in an attractor network Proceedings of the 15th Annual Conference of the Cognitive Science Society, 824-829. [PDF.]
Cohen, J. D., Servan-Schreiber, D., & McClelland, J. L. (1992). A parallel distributed processing approach to automaticity. American Journal of Psychology, 105, 239-269. [PDF.]
Farah, M. J., & McClelland, J. L. (1992). Neural network models and cognitive neuropsychology. Psychiatric Annals, 22, 148-153. [PDF.]
McClelland, J. L. (1992). Can connectionist models discover the structure of
natural language? In Morelli, R., Brown, W. M., Anselmi, D., Haberlandt, K.,
Lloyd, D. (Eds.) Minds, Brains & Computers, pp. 168-189. Ablex
Publishing:
Nystrom, L. E., & McClelland, J. L. (1992). Trace synthesis in cued recall. Journal of Memory and Language, 31, 591-614. [PDF.]
Servan-Schreiber, D., Cohen, J. D., & McClelland, J. L. (1992). A parallel distributed model of the mechanisms of processing in the Eriksen response-competition task: Relation to event-related potential studies. Psychophysiology (Suppl). 29, 6.
Cleeremans, A. & McClelland, J. L. (1991). Learning the structure of event sequences. Journal of Experimental Psychology: General, 120,, 235-253. [PDF.]
Farah, M. J., & McClelland, J. L. (1991). A computational model of semantic memory impairment: Modality- specificity and emergent category-specificity. Journal of Experimental Psychology: General, 120, 339-357. [PDF.]
McClelland, J. L. (1991). Stochastic interactive processes and the effect of context on perception. Cognitive Psychology, 23, 1-44. [PDF.]
McClelland, J. L., & Jenkins, E. (1991). Nature, nurture, and
connections: Implications of connectionist models for cognitive development. In
K. Van Lehn (Ed.), Architectures for Intelligence, pp. 41-73.
Servan-Schreiber, D., Cleeremans, A. & McClelland, J. L. (1991). Graded state machines: The representation of temporal contingencies in simple recurrent networks. Machine Learning, 7, 161-193. [PDF.]
Butters, N., Grant,
Cohen, J. D., Dunbar, K. and McClelland, J. L. (1990). On the Control of Automatic Processes: A Parallel-Distributed Processing Account of the Stroop Effect. Psychological Review, 97,, 332-361. [PDF.]
McClelland, J. L., Cleeremans, A., and Servan-Schreiber, D. (1990). Parallel distributed processing: Bridging the gap between human and machine intelligence. Journal of the Japanese Society for Artificial Intelligence, 5, 2-14. [PDF.]
Seidenberg, M. S., & McClelland, J. L. (1990). More words but still no lexicon. Reply to Besner et al. (1990). Psychological Review, 97, 447-452. [PDF.]
Taraban, R. & McClelland, J. L. (1990). Parsing and
Comprehension. A multiple constraint view. In Rayner, K., Balota, M., &
Flores D'Arcais,
Cleeremans, A., Servan-Schreiber, D., & McClelland, J. L. (1989). Finite state automata and simple recurrent networks. Neural Computation, 1 (3), 372-381. [PDF.]
McClelland, J. L. (1989). Parallel distributed processing
and role assignment constraints. In Y. Wilks (Ed.), Theoretical issues in natural language processing (pp. 78-85).
McClelland, J. L. (1989). Parallel distributed processing:
Implications for cognition and development. In Morris, R. (Ed)., Parallel
distributed processing: Implications for psychology and neurobiology. (pp.
8-45).
McClelland, J. L.,
Patterson, K., Seidenberg, M. S., & McClelland, J. L. (1989).
Connections and disconnections: Acquired dyslexia in a computational model
of reading processes. In Morris, R. (Ed.),
Parallel distributed processing: Implications for psychology and
neurobiology.
Seidenberg, M. S. and McClelland, J. L. (1989). A Distributed, Developmental Model of Word Recognition and Naming. Psychological Review, 96, 523-568. [PDF.]
Seidenberg, M. S., & McClelland, J. L. (1989). Visual word recognition
and pronunciation: A computational model of acquisition, skilled performance,
and dyslexia. In Galaburda, A. (Ed). From
Neurons to
Servan-Schreiber, D., Cleeremans, A., & McClelland, J. L. (1989).
Encoding sequential structure in simple recurrent networks. In D.Touretzky,
(Ed.), Advances in neural information
processing systems I.
Ward, R., & McClelland, J. L. (1989). Conjunctive search for one and two identical targets. Journal of Experimental Psychology: Human Perception and Performance, 15, 664-672. [PDF.]
Elman, J. L., & McClelland, J. L. (1988). Cognitive penetration of the mechanisms of perception: Compensation for coarticulation of lexically restored phonemes. Journal of Memory and Language, 27, 143-165. [PDF.]
Hinton, G. E., & McClelland, J. L. (1988). Learning
representations by recirculation. In D. Z. Anderson, (Ed.), Neural
information processing systems (pp. 358-366).
McClelland, J. L. (1988). Connectionist models and psychological evidence. Journal of Memory and Language, 27, 107-123. [PDF.]
McClelland, J. L., & Rumelhart, D. E. (1988). A simulation-based tutorial system for exploring parallel distributed processing. Behavior Research Methods, Instruments & Computers, 2, 263-275.
McClelland, J. L., & Rumelhart, D. E. (1988). Explorations in parallel distributed
processing: A handbook of models, programs, and exercises.
Taraban, R., & McClelland, J. L. (1988). Constituent attachment and thematic role assignment in sentence processing: Influences of content-based expectations. Journal of Memory and Language, 27, 597-632. [PDF.]
McClelland, J. L., Feldman, J., Adelson, B., Bower, G., & McDermott, D. (1986). Connectionist models and cognitive science: Goals, directions, and implications. Report to the National Science Foundation.
Elman, J. L., & McClelland, J. L. (1986). An
architecture for parallel processing in speech recognition: The TRACE model. In
M. R. Schroeder (Ed.), Speech recognition.
Elman, J. L., & McClelland, J. L. (1986). Exploiting the
lawful variability in the speech wave. In J. S. Perkell and D. H. Klatt (Eds.), Invariance and variability of speech
processes.
McClelland, J. L. and Elman, J. L. (1986). The TRACE Model of Speech Perception. Cognitive Psychology, 18, 1-86. [PDF.]
McClelland, J. L. & Mozer, M. C. (1986). Perceptual interactions in two-word displays: Familiarity and similarity effects. Journal of Experimental Psychology: Human Perception and Performance, 12, 18-35. [PDF.]
Rumelhart, D. E., McClelland, J. L., and the PDP research
group. (1986). Parallel distributed processing: Explorations in the
microstructure of cognition.
McClelland, J. L., Rumelhart, D. E., and the PDP research group. (1986). Parallel
distributed processing: Explorations in the microstructure of cognition. Volume
II.
Chapters in above volumes:
McClelland, J. L. (1985). Distributed models of cognitive
processes. In D. Olton,
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