Suzanna Becker

Michael Chrostowski, Le Yang, Hugh R. Wilson, Ian C. Bruce, Suzanna Becker: Can homeostatic plasticity in deafferented primary auditory cortex lead to travelling waves of excitation? Journal of Computational Neuroscience 30(2): 279-299 (2011)

Patrick Byrne, Suzanna Becker: A Principle for Learning Egocentric-Allocentric Transformation. Neural Computation 20(3): 709-737 (2008)

Melissa Dominguez, Suzanna Becker, Ian C. Bruce, Heather Read: A Spiking Neuron Model of Cortical Correlates of Sensorineural Hearing Loss: Spontaneous Firing, Synchrony, and Tinnitus. Neural Computation 18(12): 2942-2958 (2006)

Andrew James Smith, Suzanna Becker, Shitij Kapur: A Computational Model of the Functional Role of the Ventral-Striatal D2 Receptor in the Expression of Previously Acquired Behaviors. Neural Computation 17(2): 361-395 (2005)

Zhe Chen, Suzanna Becker, Jeff Bondy, Ian C. Bruce, Simon Haykin: A Novel Model-Based Hearing Compensation Design Using a Gradient-Free Optimization Method. Neural Computation 17(12): 2648-2671 (2005)

Patrick Byrne, Suzanna Becker: Modeling Mental Navigation in Scenes with Multiple Objects. Neural Computation 16(9): 1851-1872 (2004)

Laurel Trainor, Ranil Sonnadara, Karl Wiklund, Jeff Bondy, Shilpy Gupta, Suzanna Becker, Ian C. Bruce, Simon Haykin: Development of a flexible, realistic hearing in noise test environment (R-HINT-E). Signal Processing 84(2): 299-309 (2004)

Jeff Bondy, Suzanna Becker, Ian C. Bruce, Laurel Trainor, Simon Haykin: A novel signal-processing strategy for hearing-aid design: neurocompensation. Signal Processing 84(7): 1239-1253 (2004)

Simon Haykin, Zhe Chen, Suzanna Becker: Stochastic correlative learning algorithms. IEEE Transactions on Signal Processing 52(8): 2200-2209 (2004)

Andrew James Smith, Suzanna Becker, Shitij Kapur: From Dopamine to Psychosis: A Computational Approach. KES 2003: 1115-1121

Jeff Bondy, Ian C. Bruce, Suzanna Becker, Simon Haykin: Predicting Speech Intelligibility from a Population of Neurons. NIPS 2003

Suzanna Becker, Sebastian Thrun, Klaus Obermayer (Eds.): Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, NIPS 2002, December 9-14, 2002, Vancouver, British Columbia, Canada]. MIT Press 2003, isbn 0-262-02550-7

Ivilin Stoianov, Marco Zorzi, Suzanna Becker, Carlo Umilta: Associative Arithmetic with Boltzmann Machines: The Role of Number Representations. ICANN 2002: 277-283

Thomas G. Dietterich, Suzanna Becker, Zoubin Ghahramani (Eds.): Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, NIPS 2001, December 3-8, 2001, Vancouver, British Columbia, Canada]. MIT Press 2001

Suzanna Becker, Neil Burgess: Modelling Spatial Recall, Mental Imagery and Neglect. NIPS 2000: 96-102

Suzanna Becker: Implicit Learning in 3D Object Recognition: The Importance of Temporal Context. Neural Computation 11(2): 347-374 (1999)

G. Bjorn Christianson, Suzanna Becker: A Model for Associative Multiplication. NIPS 1998: 17-23

Suzanna Becker, Mark Plumbley: Unsupervised Neural Network Learning Procedures for Feature Extraction and Classification. Appl. Intell. 6(3): 185-203 (1996)

Suzanna Becker: Learning Temporally Persistent Hierarchical Representations. NIPS 1996: 824-830

Suzanna Becker: JPMAX: Learning to Recognize Moving Objects as a Model-fitting Problem. NIPS 1994: 933-940

Suzanna Becker: D. S. Levine, Introduction to Neural and Cognitive Modeling. Artif. Intell. 62(1): 113-116 (1993)

Suzanna Becker, Geoffrey E. Hinton: Learning Mixture Models of Spatial Coherence. Neural Computation 5(2): 267-277 (1993)

Suzanna Becker: Learning to Categorize Objects Using Temporal Coherence. NIPS 1992: 361-368

Suzanna Becker: Unsupervised Learning Procedures for Neural Networks. Int. J. Neural Syst. 2(1-2): 17-33 (1991)

Suzanna Becker, Geoffrey E. Hinton: Learning to Make Coherent Predictions in Domains with Discontinuities. NIPS 1991: 372-379