Byrne, P. and Becker, S. (2008), A principle for learning egocentric-allocentric transformations. Accepted for publication in Neural Computation. 20(3):709-737. pdf

Byrne, P., Becker, S. and Burgess, N. (2007), Remembering the past and imagining the future: a neural model of spatial memory and imagery. Psychological Review 114(2):340-375. pdf

Byrne, P. and Becker, S. (2004), Modelling mental navigation in scenes with multiple objects. Neural Computation 16(9):1851-1872. pdf

Chun, S., Campos, J., Chan, G., Becker, S., Burgess, N. and Sun, H.-J. (2003), "Viewpoint Dependency in the Perception of Multi-Object Layout", abstract in Proceedings of the Brain, Behaviour and Cognitive Science conference

Becker, S. and Burgess, N. (2001), ``Modelling spatial recall, mental imagery and neglect'', Advances in Neural Processing Systems 13, MIT Press, p96-102. pdf

Burgess, N., Becker, S., King, J. and O'Keefe (2001), Memory for events and their spatial context: models and experiments, Philosophical Transactions of the Royal Society of London B, 356:1493-1503. pdf

Cheung, A., Becker, S. and Burgess, N. (2000), "A model of hippocampal-parietal interaction in spatial navigation, imagery and episodic recall", abstract in proceedings of the workshop The nature of hippocampal-cortical interaction: Theoretical and experimental perspectives held in Dublin, Ireland, March, 2000. abstract

Hippocampal coding and neurogenesis, Episodic memory, controlled memory use

Becker, S. and Wojtowicz, J.M. (2007), A model of hippocampal neurogenesis in memory and mood disorders. Trends in Cognitive Sciences 11(2):70-76. pdf preprint.

Becker, S. (2005) "A computational principle for hippocampal learning and neurogenesis". Hippocampus 15(6):722-738. pdf

Becker, S. and Wojtowicz, J.M. (2004), A role for hippocampal neurogenesis in retention of long-term memories: evidence from computational modelling. Abstract. Proceedings of the 2004 Society for Neuroscience Meeting.

Becker, S. and Lim, J. (2003), "A computational model of prefrontal control in free recall: strategic memory use in the California Verbal Learning Task, Journal of Cognitive Neuroscience 2003, 15(6):347-374. pdf

Gilbert, C. and Becker, S. (2003), "Semantic Strategies in Free Recall", abstract in Proceedings of the Brain, Behaviour and Cognitive Science conference

Lim, J.C. and Becker, S. (2000), "Hippocampal-frontal interactions in memory storage and recall", abstract in Proceedings of the 22nd Meeting of the Cognitive Scienc Society. Abstract

Becker, S., Chin, S. and Meeds, E. (1999), "Modelling episodic memory: A global cost function that leads to fast, local, high-capacity learning", abstract in Proceedings of the "Learning" workshop, Snowbird, Utah, April, 1999.

Liwanag, A. & Becker, S. (1997) "Improving Associative Memory Capacity: One-Shot Learning in Multilayer Hopfield Networks". In the Proceedings of the 19th Annual Conference of the Cognitive Science Society, Lawrence Erlbaum Associates, pages 442-447. pdf

Chapman, C.A. and Becker, S. (1995), "Model synapses with frequency potentiation characteristics can cooperatively enhance Hebbian learning," Proceedings of the 3rd Annual Computation and Neural Systems Meeting, Boston, MA: Kluwer Academic Publishers. abstract

Language, semantic memory, semantic priming and numerosity

Howell, S. R., Jankowicz, D., and Becker, S. (2005), A Model of Grounded Language Acquisition: Sensorimotor Features Improve Grammar Learning. Journal of Memory and Language 53(2):258-276, pdf
As of Jan/07 this article is 11th on the Top 25 hottest articles on Science Direct in the category "Arts and Humanities".

Stoianov, I., Zorzi, M., Becker, S. and Umilta, C. (2002), Associative arithmetic with Boltzmann Machines: The role of number representations. Proceedings of the International Conference on Artificial Neural Networks.

Howell, S. and Becker, S. (2001), Modelling language acquisition: Grammar from the lexicon?, Proceedings of the cognitive science society, 2001. pdf

Howell, S., Becker, S. and Jankowicz, D. (2001), Modelling language acquisition: Lexical grounding through perceptual features, Proceedings of the 2001 Workshop on Developmental Embodied Cognition (DECO-2001). pdf

Howell, S. and Becker, S. (2000), "Modelling language acquisition at multiple temporal scales", abstract in Proceedings of the 22nd Meeting of the Cognitive Scienc Society.

Christianson, G.B. and Becker, S. (1999), A model for associative multiplication, Neural Information Processing Systems 11, 1999. pdf

Becker, S., Moscovitch, M. Behrmann, M. and Joordens (1997), "Long-term semantic priming: A computational account and empirical evidence". Journal of Experimental Psychology: Learning, Memory and Cognition, 23(5):1059-1082. pdf

Joordens, S. and Becker, S. (1997), "The long and short of semantic priming effects in lexical decision". Journal of Experimental Psychology: Learning, Memory and Cognition, 23(5):1083-1105 Abstract

Becker, S., Behrmann, M. and Moscovitch, M. (1993), "Word priming in attractor networks", Proceedings of the Fifteeth Annual Conference of the Cognitive Science Society, Hillsdale, NJ: Lawrence Erlbaum Associates, p. 231-236.

Dopamine, psychosis and schizophrenia

Smith, A., Li, M., Becker, S. and Kapur, S. (2007), Linking animal models of psychosis to computational models of dopamine function. Neuropsychopharmacology 32(1):54-66, doi:10.1038/sj.npp.1301086, pdf

Smith, A., Li, M., Becker, S. and Kapur, S. (2006), Dopamine, prediction error, and associative learning: a model-based account. Network: Computation in Neural Systems 17(1):61-84. pdf

Smith, A., Becker, S. and Kapur, S. (2005), A computational model of the selective role of the striatal D2-receptor in the expression of previously acquired behaviours. Neural Computation 17(2):361-395. pdf

Smith, A., Li, M., Becker, S. and Kapur, S. (2004), A model of antipsychotic action in conditioned avoidance: a computational approach. Neuropsychopharmacology29(6):1040-9 pdf

Becker, S., Chan, A., Fletcher, P., Smith, A. and Kapur, S. (2003), ``A computational model of the role of dopamine and psychotropic drugs in modulating motivated action'', Schizophrenia Research 60(1) Supplement: Abstracts of th IXth International Congress on Schizophrenia Research, page 164.

Smith, A., Becker, S. and Kapur, S. (2003). From dopamine to psychosis: A computational approach. Proceedings of the 7th International Conference on Knowledge-Based Intelligent Information & Engineering Systems, St Anne's College, University of Oxford, U.K.

Becker, S., Chan, A., Fletcher, P. and Kapur, S. (2002), A computational network model of the neural circuits subserving motivated behaviours, Biological Psychiatry 51(8S). Abstract.

Auditory processing, music, tinnitus, hearing aids

Dominguez M, Becker S, Bruce I, and Read H. (2006), A spiking neuron model of cortical correlates of sensorineural hearing loss: spontaneous firing, synchrony and tinnitus. Neural Computation 18(12):2942-2958, pdf

Chen, Z., Becker, S., Bondy, J., Bruce, I.C. and Haykin, S. (2005), A novel model-based hearing compensation design using a gradient-free optimization method. Neural Computation 17(12):2648-2671. pdf

Bondy, J., Becker, S., Bruce, I., Trainor, L. and Haykin. S. (2004). A novel signal-processing strategy for hearing-aid design: NeuroCompensation. Signal Processing 84(7):1239-1253. pdf

Bondy, J., Bruce, I., Becker, S. and Haykin, S. (2004). Predicting Speech Intelligibility from a Population of Neurons, Advances in Neural Processing Systems 16, MIT Press. pdf

Trainor, L., Sonnadara, R., Wiklund, K, Bondy, J., Gupta, S., Becker, S., Bruce, I. and Haykin, S. (2004), Development of a flexible, realistic hearing in noise test environment (R-HINT-E), Signal Processing 84(8):299-309. pdf

Bondy, J., Bruce, I.C., Dong, R., Becker, S. and Haykin, S. (2003), ``Applications for modeling of intelligibility of sensorineural hearing loss''. The Thrity-Seventh Asilomar Conference on Signals, Systems and Computers, Nov. 9-12 2003, Volume 1, Pages 720-724.

Becker, S. and Bruce, I. (2002), "Neural coding in the auditory periphery: Insights from physiology and modelling lead to a novel hearing compensation algorithm", Presented at the Neural Information Coding (NICE) workshop, Les Houches, France, March 2002. Abstract

Stevens, C., Becker, S. and Trainor, L. (2000), "A Pitch in Time: An Artificial Neural Network of Melodic Expectancy", 5th Australasian Cognitive Science Conference, Melbourne, Australia. Abstract, pdf

Neural network models of unsupervised learning and signal processing

Becker, S. (2005), Modelling the mind: From circuits to systems. Chapter 2 in New Directions in Statistical Signal Processing: From sytems to brain. Simon Haykin, Jose C. Principe, Terrence J. Sejnowski and John McWhirter (editors), MIT Press. pdf chapter, pdf References

Haykin, S., Chen, Z. and Becker, S. (2004), Stochastic Correlative Learning Algorithms, IEEE Transactions on Signal Processing, 52(8):2200-2209.

Chen, Z., Haykin, S. and Becker, S. (2004), Theory of Monte Carlo Sampling-Based Alopex Algorithms For Neural Networks. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing,

Becker, S. and Zemel, R., (2003), ``Unsupervised learning with global objective functions'', In The Handbook of Brain Theory and Neural Networks, Second edition, (M.A. Arbib, Ed.), Cambridge, MA: The MIT Press, 2003. pdf

Yao, D., Chen, H., Becker, S., Zhou, T., Zhuo, Y. and Chen, L. (2001), A fMRI data analysis method using a fast infomax-based ICA algorithm, IEEE Canadian Conference on Electrical and Computer Engineering ( IEEE CCECE) 2001.

Patel, G., Becker, S., and Racine, R. (2001), "2D Image modelling as a time-series prediction problem", in Kalman filtering applied to Neural Netwroks, S. Haykin (editor), Wiley.

Becker, S. (1999), Implicit learning in 3D object recognition: The importance of temporal context. Neural Computation, 11(2):347-374. pdf

Becker, S. (1997) "Learning temporally persistent hierarchical representations". In Advances in Neural Information Processing Systems 9, MIT Press, pages 824-830. pdf

Becker, S. (1996), "An unsupervised classifier modulated by temporal history outperforms recurrent back-propagation in face recognition", abstract in Proceedings of the Machines That Learn workshop in Snowbird, Utah. abstract

Becker, S. (1996), "Mutual Information Maximization: Models of Cortical Self-Organization". Network: Computation in Neural Systems, 7:7-31 pdf

Becker, S. and Plumbley, M. (1996), "Unsupervised Neural Network Learning Procedures For Feature Extraction and Classification, " International Journal of Applied Intelligence, special issue on neural networks (F. Pineda, ed.), Vol. 6, No. 3. pdf

Becker, S. (1995), "JPMAX: Learning to Recognize Moving Objects as a Model-fitting Problem", in Advances in Neural Information Processing Systems 7:933-940, San Mateo, CA: Morgan Kaufmann Publishers. pdf

Becker, S. (1995), "Unsupervised learning with global objective functions", in The Handbook of Brain Theory and Neural Networks, M. Arbib (ed), La Jolla, CA: MIT Press. pdf

Becker, S. and Hinton, G. E. (1995), "Spatial coherence as an internal teacher for a neural network," in Backpropagation: Theory, Architectures, and Applications, Y. Chauvin and D. Rumelhart (eds), part of the series Developments in Connectionist Theory, Hillsdale, NJ: Lawrence Erlbaum. pdf

Roberts, L.E., Racine, R.J., Durlach, P. and Becker, S. (1994), "Tuning and filtering in associative learning", in Oscillatory event-related brain dynamics, C. Pantev, T. Elbert and B. Lutkenhoner (eds), Plenum Press.

Becker, S. (1994), "Unsupervised learning of population codes as a joint density fitting problem," abstract in Proceedings of the Neural Networks for Computing Conference, Snowbird, Utah.

Becker, S. (1993), "Learning to categorize objects using temporal coherence", in Giles, C.L., Hanson, S.J. and Cowan, J.D. (eds.), Advances in Neural Information Processing Systems 5, pp. 361-368, San Mateo, CA: Morgan Kaufmann Publishers. pdf

Becker, S. and Hinton, G. E. (1993), "Learning mixture models of spatial coherence," Neural Computation, Vol. 5, No. 2, pp. 267-277. pdf

Becker, S. and Hinton, G. E. (1992), "A self-organizing neural network that discovers surfaces in random-dot stereograms," Nature, Vol. 355, pp. 161-163. pdf, News&Views summary PDF, Mitchison & Durbin, Nature 2002

Becker, S. and Hinton, G. E. (1992), "Learning to make coherent predictions in domains with discontinuities," in Advances in Neural Information Processing Systems 4, Morgan Kaufmann Publishers. pdf

Becker, S. (1992), "An Information-theoretic unsupervised learning algorithm for neural networks", PhD Thesis, University of Toronto, Department of Computer Science. pages 1-50, pages 51-100, pages 101-148 .

Becker, S. (1991), "Unsupervised learning procedures for neural networks," International Journal Of Neural Systems, Vol. 2, No. 1\&2, pp. 17-33. pdf

Hinton, G. E. and Becker, S. (1990), "An unsupervised learning procedure that discovers surfaces in random-dot stereograms," Proceedings of the International Joint Conference on Neural Networks, Vol. 1, pp. 218-222, Lawrence Erlbaum Associates, Hillsdale, NJ.

Becker, S. and le Cun, Y. (1988), "Improving the convergence of back-propagation learning with second-order methods," Proceedings of the 1988 Connectionist Models Summer School, Morgan Kaufmann Publishers, D. S. Touretzky, G. E. Hinton and T. J. Sejnowski (eds). Also appeared as University of Toronto Connectionist Research Group Technical Report CRG-TR-88-5.