Publications

2004

Jefferies et. al., A Category-specific advantage for numbers in verbal short-term memory: Evidence from semantic dementia, Neuropsychologia, Vol. 42[PDF]

Mechelli A, Crinion JT, Noppeney U, O'Doherty J, Ashburner J, Frackowiak RS, Price CJ (2004). Structural Plasticity in the Bilingual Brain. Nature 431 (7010), 757[PDF]

Mechelli, A, Price, CJ, Friston, KJ, Ishai, A (2004). Where bottom-up meets top-down: neuronal interactions during perception and imagery. Cerebral Cortex 14, 1256-1265[PDF]

Penny, WD, Stephan, KE, Mechelli, A, Friston, KJ (2004). Comparing Dynamic Causal Models. NeuroImage 22, 1157-72[PDF]

Penny, WD, Stephan, KE, Mechelli, A, Friston, KJ (2004). Modelling Functional Integration: A Comparison of Structural Equation and Dynamic Causal Models. NeuroImage 23, Supplement 1, 264-274[PDF]

Rogers et. al, Structure and Deterioration of Semantic Memory: A Neuropsychological and Computational Investigation, Psychological Review, vol. 111, No. 1[PDF]

Timothy Rogers et. al. Natural Selection : The Impact of Semantic Impairment on Lexical and Object Decision, Cognitiveneuropsychology, vol. 21[PDF]

Zevin and Seidenberg, Age-of-acquisition effects in reading aloud: Tests of cumulative frequency and frequency trajectory, Memory & Cognition, Vol. 32[PDF]

2003

Andrea Mechelli et. al., A Dynamic Causal Modeling Study on Category Effects: Bottom-up or Top-Down Mediation?, Journal of Cognitive Neuroscience, Vol. 15:7, pp. 925-934.[PDF]

Bozeat, S., Lambon Ralph, M. A., Graham, K. S., Patterson, K., Wikin, H., Rowland, J., Rogers, T. T., and Hodges, J. R. (2003) A duck with four legs: Investigating the structure of conceptual knowledge using picture drawing in semantic dementia. Cognitive Neuropsychology, 20 (1), 27-47.[PDF]

D. B. T. McMahon, C. R. Olson ,Neural activity corresponding to repetition priming in monkey Inferotemporal Cortex, Program No. 385.22, Society for Neuroscience. Online.[PDF]

Fushimi et. al.,Surface dyslexia in a Japanese patient with semantic dementia: evidence for similarity-based orthography-to-phology translation, Neuropsychologia, Vol. 41[PDF]

Huber and O'Reilly, Persistence and accomodation in short-term priming and other perceptual paradigms: temporal segregation through synaptic depression, Cognitive Science, Vol. 27[PDF]

Jilk, Cer and O'Reilly, Effectiveness of Neural Network Learning Rules Generated by a Biophysical Model of Synaptic Plasticity, Poster presented at the Computational Neuroscience Conference, Alicante, Spain[PDF]

Karklin and Lewicki, A Model for Learning Variance Components of Natural Images, In Advances in Neural Information Processing Systems, Vol. 15[PDF]

Karklin and Lewicki, Learning higher-order structures in natural images, Network: Computational Neural Systems, Vol. 14[PDF]

Lee and Mumford, Hierarchical Bayesian Inference in the visual cortex, J. Opt. Soc. Am. A/ Vol.20, No. 7[PDF]

Lee,Computations in the early visual cortex, Journal of Physiology, Paris 97, 121-139[PDF]

McClelland, J. L., and Rogers, T. T. (2003). The Parallel Distributed Processing approach to semantic cognition. Nature Reviews Neuroscience, 4 (4), 310-322.[PDF]

Price, CJ, Gorno-Tempini, ML, Graham, KS, Biggio, N, Mechelli, A, Patterson, K, Noppeney, U (2003). Normal and Pathological Reading: Converging Data from Lesion and Imaging Studies. NeuroImage 20, Supplement 1, 30-41[PDF]

Ralph et. al., Semantic Dementia with Category Specificity: A comparative case-series study,Cognitive Neuropsychology, vol. 20[PDF]

S. Moldakarimov, J. E. Rollenhagen, C. R. Olson, C. C. Chow,A Model of low frequency oscillatory visual responses in Macaque Inferotemporal Cortex, Program No. 701.20, Society for Neuroscience. Online.[PDF]

Timothy Rogers and John Hodges, Object recognition under semantic impairment: The effects of conceptual regularities on perceptual decisions, Language and Cognitive Processes, Vol. 18[PDF]

Todd S. Braver et. al., Neural mechanisms of transient and sustained cognitive control during task switching, Neuron, vol. 39[PDF]

Vallabha and McClelland, Learning the sounds of speech: A Hebbian Approach, Poster presented at the 44th Annual Meeting of the Psychonomic Society, Nov 6-9.[PDF]

2002

Braver, T. S., and Bongiolatti, S. R. (2002). The rold of frontopolar prefrontal cortex in subgoal processing during working memory. NeuroImage, 15, 523-536.[PDF]

Cohen, J. D., Braver, T. S., and Brown, J. W. (2002) Computational perspectives on dopamine function in prefrontal cortex. Current Opinion in Neurobiology, 12, 223-229.[PDF]

Holroyd, C. B., and Coles, M. G. H. (2002). The neural basis of human error processing: Reinforcement learning, dopamine, and the error-related negativity. Psychological Review, 109: 679-709.[PDF]

McCandliss, B. D., Fiez, J. A., Protpapas, A., Conway, M., and McClelland, J. L. (2002). Success and failure in teaching the [r]-[l] contrast to Japanese adults: Predictions of a Hebbian model of plasticity and stabilization in spoken language preception. Cognitive, Affective and Behavioral Neuroscience. 2:2. 89-108.[PDF]

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., 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]

O'Reilly, R. C., and Busby, R. S. (2002). Generalize Relational Binding from Coarse-soded Distributed Representations. Advances in Neural Information Processing Systems (NIPS) 14, T. G. Dietterich, S. Becker, and Z. Ghahramani, Eds, MIT Press, Cambridge, MA.[PDF]

O'Reilly, R. C., and Soto, R. (2002). A Model of the Phonological Loop: Generalization and Binding. Advances in Neural Information Processing Systems (NIPS), 14, T. G. Dietterich, S. Becker, and Z. Ghahramani, Eds., MIT Press, Cambridge, MA.[PDF]

O'Reilly, R. C., Noelle, D. C., Braver, T. S., and Cohen, J. D. (2002). Prefrontal Cortec and Dynamic Categoraization Tasks: Representational Organization and Neuromodulatory Control. Cerebral Cortex, 12, 246-257.[PDF]

Rougier, N. P., and O'Reilly, R. C. (2002). Learning Representations in a Gated Prefrontal Cortex Model of Dynamic Task Switching. Cognitive Science, 26, 503-520.[PDF]

Usher, M., Olami, Z., and McClelland, J. L. (2002). Hick's law in a stoachastic race model with speed- accuracy tradeoff. Mathematical Psychology.[PDF]

2001

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) Failures to learn and their remediation: A Hebbian account. In J. L. McClelland and R. S. Siegler (Eds.)[PDF]

Movellan, J. R., and McClelland, J. L. (2001). The Morton-Massaro law of information integration: Implications for models of perception. Psychological Review[PDF]

O'Reilly, R. C. (2001). Generalization in Interactive Networks: The Benefits of Inhibitory Competition and Hebbian Learning. Neural Computation, 13, 1199-1242.[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.[PDF]

2000

Plaut, D. C., and McClelland, J. L. (2000). Stipulating versus discovering representations Behavioral and Brain Sciences, 23.[PDF]

1999

McClelland, J. L. (1998). Connectionist models and Bayesian inference. In M. Oaksford and N. Chater (Eds.), Rational Models of Cognition. Oxford: Oxford University Press. 21-53.[PDF]

Copyright Notice: The documents distributed here have been provided as a means to ensure timely dissemination of scholarly and technical work on a noncommercial basis. Copyright and all rights therein are maintained by the authors or by other copyright holders, notwithstanding that they have offered their works here electronically. It is understood that all persons copying this information will adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder.