James L. McClelland

Amy H. Criss, Mark E. Wheeler, James L. McClelland: A Differentiation Account of Recognition Memory: Evidence from fMRI. J. Cognitive Neuroscience 25(3): 421-435 (2013)

Cynthia M. Henderson, James L. McClelland: A PDP model of the simultaneous perception of multiple objects. Connect. Sci. 23(2): 161-172 (2011)

Jay McClelland, Juyang Weng, Gedeon O. Deák, Brian Scassellati: Cognitive Science Meets Autonomous Mental Development. Cognitive Science 34(3): 533-534 (2010)

James L. McClelland: Is a Machine Realization of Truly Human-Like Intelligence Achievable? Cognitive Computation 1(1): 17-21 (2009)

Brenden M. Lake, Gautam K. Vallabha, James L. McClelland: Modeling Unsupervised Perceptual Category Learning. IEEE T. Autonomous Mental Development 1(1): 35-43 (2009)

Daniel Mirman, James L. McClelland, Lori L. Holt, James S. Magnuson: Effects of Attention on the Strength of Lexical Influences on Speech Perception: Behavioral Experiments and Computational Mechanisms. Cognitive Science 32(2): 398-417 (2008)

James L. McClelland, Kim Plunkett, Juyang Weng: Guest Editorial: Convergent Approaches to the Understanding of Autonomous Mental Development. IEEE Trans. Evolutionary Computation 11(2): 133-136 (2007)

Elizabeth Tricomi, Mauricio R. Delgado, Bruce D. McCandliss, James L. McClelland, Julie A. Fiez: Performance Feedback Drives Caudate Activation in a Phonological Learning Task. J. Cognitive Neuroscience 18(6): 1029-1043 (2006)

Andrea Mechelli, Jennifer T. Crinion, Steven Long, Karl J. Friston, Matthew A. Lambon Ralph, Karalyn Patterson, James L. McClelland, Cathy J. Price: Dissociating Reading Processes on the Basis of Neuronal Interactions. J. Cognitive Neuroscience 17(11): 1753-1765 (2005)

Karalyn Patterson, Matthew A. Lambon Ralph, Helen Bird, John R. Hodges, James L. McClelland: Normal and impaired processing in quasi-regular domains of language: the case of English past-tense verbs. INTERSPEECH 2000: 15-19

Javier R. Movellan, James L. McClelland: Information Factorization in Connectionist Models of Perception. NIPS 1999: 45-51

Randall C. O'Reilly, Kenneth A. Norman, James L. McClelland: A Hippocampal Model of Recognition Memory. NIPS 1997

Javier R. Movellan, James L. McClelland: Learning Continuous Probability Distributions with Symmetric Diffusion Networks. Cognitive Science 17(4): 463-496 (1993)

David Servan-Schreiber, Axel Cleeremans, James L. McClelland: Graded State Machines: The Representation of Temporal Contingencies in Simple Recurrent Networks. Machine Learning 7: 161-193 (1991)

Mark F. St. John, James L. McClelland: Learning and Applying Contextual Constraints in Sentence Comprehension. Artif. Intell. 46(1-2): 217-257 (1990)

David Servan-Schreiber, Axel Cleeremans, James L. McClelland: Learning Subsequential Structure in Simple Recurrent Networks. NIPS 1988: 643-652

Geoffrey E. Hinton, James L. McClelland: Learning Representations by Recirculation. NIPS 1987: 358-366

James L. McClelland: Putting Knowledge in its Place: A Scheme for Programming Parallel Processing Structures on the Fly. Cognitive Science 9(1): 113-146 (1985)