Suzanna Becker

发表

Proceedings of the 15th International Conference on Neural Information Processing Systems

Sebastian Thrun, Klaus Obermayer, Suzanna Becker, 2002 .

A Principle for Learning Egocentric-Allocentric Transformation

Suzanna Becker, Patrick Byrne, S. Becker, 2008, Neural Computation.

Unsupervised neural network learning procedures for feature extraction and classification

Mark D. Plumbley, Suzanna Becker, S. Becker, 1996, Applied Intelligence.

Stochastic correlative learning algorithms

Simon Haykin, Zhe Chen, Suzanna Becker, 2004, IEEE Transactions on Signal Processing.

Predicting Speech Intelligibility from a Population of Neurons

Simon Haykin, Ian C. Bruce, Suzanna Becker, 2003, NIPS.

Emotional reaction recognition from EEG

Suzanna Becker, Kiret Dhindsa, 2017, 2017 International Workshop on Pattern Recognition in Neuroimaging (PRNI).

The Effects of Physical Exercise and Cognitive Training on Memory and Neurotrophic Factors

Suzanna Becker, Jennifer J. Heisz, Ilana B. Clark, 2017, Journal of Cognitive Neuroscience.

Modeling Language Acquisition at Multiple Temporal Scales

Suzanna Becker, Steve R. Howell, S. Becker, 2000 .

Unsupervised learning with global objective functions

Suzanna Becker, 1998 .

SRNEngine: A Windows-based Neural Network Simulation Tool for the Non-programmer

Suzanna Becker, Steven R. Howell, 2013, CogSci.

Mutual information maximization: models of cortical self-organization.

Suzanna Becker, S. Becker, 1996, Network.

Correlation‐Based Neural Learning and Machine Learning

Simon Haykin, Zhe Chen, Suzanna Becker, 2007 .

Unsupervised Learning Procedures for Neural Networks

Suzanna Becker, S. Becker, 1991, Int. J. Neural Syst..

Grading Prenatal Hydronephrosis from Ultrasound Imaging Using Deep Convolutional Neural Networks

Suzanna Becker, Ranil R. Sonnadara, Kiret Dhindsa, 2018, 2018 15th Conference on Computer and Robot Vision (CRV).

Improving the convergence of back-propagation learning with second-order methods

Yann LeCun, Suzanna Becker, Yann LeCun, 1989 .

Capturing the Forest but Missing the Trees: Microstates Inadequate for Characterizing Shorter-Scale EEG Dynamics

James P. Reilly, Suzanna Becker, Kiret Dhindsa, 2019, Neural Computation.

Can homeostatic plasticity in deafferented primary auditory cortex lead to travelling waves of excitation?

Ian C. Bruce, Hugh R. Wilson, Le Yang, 2011, Journal of Computational Neuroscience.

Gaussian process regression with mismatched models

Thomas G. Dietterich, Zoubin Ghahramani, Suzanna Becker, 2002, Neural Information Processing Systems.

A Novel Model-Based Hearing Compensation Design Using a Gradient-Free Optimization Method

Simon Haykin, Ian C. Bruce, Zhe Chen, 2005, Neural Computation.

A Model for Associative Multiplication

Suzanna Becker, G. Bjorn Christianson, S. Becker, 1998, NIPS.

D. S. Levine, Introduction to Neural and Cognitive Modeling

Suzanna Becker, S. Becker, 1993, Artificial Intelligence.

Advances in neural information processing systems : proceedings of the ... conference

Thomas G. Dietterich, Richard P. Lippmann, Klaus-Robert Müller, 1989 .

Self-organizing neural network that discovers surfaces in random-dot stereograms

Geoffrey E. Hinton, Suzanna Becker, S. Becker, 1992, Nature.

Differential encoding of environmental features in spatial representation

Hong-Jin Sun, Suzanna Becker, George S. W. Chan, 2010 .

Implicit Learning in 3D Object Recognition: The Importance of Temporal Context

Suzanna Becker, S. Becker, 1999, Neural Computation.

Toward an Open-Ended BCI: A User-Centered Coadaptive Design

Suzanna Becker, Kiret Dhindsa, Dean Carcone, 2017, Neural Computation.

Spatial coherence as an internal teacher for a neural network

Geoffrey E. Hinton, Suzanna Becker, S. Becker, 1995 .

Modelling Spatial Recall, Mental Imagery and Neglect

Neil Burgess, Suzanna Becker, S. Becker, 2000, NIPS.

From Dopamine to Psychosis: A Computational Approach

Suzanna Becker, Shitij Kapur, Andrew James Smith, 2003, KES.

Correlative Learning: A Basis for Brain and Adaptive Systems (Adaptive and Learning Systems for Signal Processing, Communications and Control Series)

Simon Haykin, Zhe Chen, Suzanna Becker, 2007 .

Editors. Advances in Neural Information Processing Systems

Thomas G. Dietterich, Zoubin Ghahramani, Suzanna Becker, 2002 .

Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, NIPS 2004, December 13-18, 2004, Vancouver, British Columbia, Canada]

Sebastian Thrun, Klaus Obermayer, Suzanna Becker, 2004, NIPS.

Progressive Thresholding: Shaping and Specificity in Automated Neurofeedback Training

Suzanna Becker, Kiret Dhindsa, Kyle D. Gauder, 2018, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Modeling Mental Navigation in Scenes with Multiple Objects

Suzanna Becker, Patrick Byrne, S. Becker, 2004, Neural Computation.

Learning spatially coherent properties of the visual world in connectionist networks

Geoffrey E. Hinton, Suzanna Becker, 1991, Optics & Photonics.

A computational model of hippocampal-parietal interactions in the generation of mental imagery for spatial reasoning

Neil Burgess, Suzanna Becker, Patrick Byrne, 2005 .

A novel signal-processing strategy for hearing-aid design: neurocompensation

Simon Haykin, Ian C. Bruce, Suzanna Becker, 2004, Signal Process..

ALOPEX: A Correlation‐Based Learning Paradigm

Simon Haykin, Zhe Chen, Suzanna Becker, 2007 .

Associative Arithmetic with Boltzmann Machines: The Role of Number Representations

Marco Zorzi, Ivilin Stoianov, Carlo Umilta, 2002, ICANN.

Appendix E: Expectation–Maximization Algorithm

Zhe Chen, Suzanna Becker, Simon Haykin, 2007 .

Learning Mixture Models of Spatial Coherence

Geoffrey E. Hinton, Suzanna Becker, S. Becker, 1993, Neural Computation.

Grammar from the lexicon: Evidence from neural network simulations of language acquisition

Suzanna Becker, Steve R. Howell, S. Becker, 2013 .

Theory of Monte Carlo sampling-based Alopex algorithms for neural networks

Simon Haykin, Zhe Chen, Suzanna Becker, 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

A Computational Model of the Functional Role of the Ventral-Striatal D2 Receptor in the Expression of Previously Acquired Behaviors

Suzanna Becker, Shitij Kapur, Andrew James Smith, 2005, Neural Computation.

JPMAX: Learning to Recognize Moving Objects as a Model-fitting Problem

Suzanna Becker, S. Becker, 1994, NIPS.

Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, NIPS 2001, December 3-8, 2001, Vancouver, British Columbia, Canada]

Thomas G. Dietterich, Zoubin Ghahramani, Suzanna Becker, 2001, NIPS.

A model of visual-proprioceptive interactions in the recall and manipulation of allocentric spatial maps via egocentric mental imagery

Neil Burgess, Suzanna Becker, Patrick Byrne, 2005 .

A Brain-Computer Interface Based on Abstract Visual and Auditory Imagery: Evidence for an Effect of Artistic Training

Suzanna Becker, Kiret Dhindsa, Dean Carcone, 2017, HCI.

A fMRI data analysis method using a fast infomax-based ICA algorithm

Lin Chen, Dezhong Yao, Huafu Chen, 2001, Canadian Conference on Electrical and Computer Engineering 2001. Conference Proceedings (Cat. No.01TH8555).

Learning to Categorize Objects Using Temporal Coherence

Suzanna Becker, S. Becker, 1992, NIPS.

Learning to Make Coherent Predictions in Domains with Discontinuities

Geoffrey E. Hinton, Suzanna Becker, 1991, NIPS.

Development of a flexible, realistic hearing in noise test environment (R-HINT-E)

Simon Haykin, Ian C. Bruce, Suzanna Becker, 2004, Signal Processing.

Computational cognitive neuroscience

Suzanna Becker, Nathaniel D. Daw, 2009, Brain Research.

A Spiking Neuron Model of Cortical Correlates of Sensorineural Hearing Loss: Spontaneous Firing, Synchrony, and Tinnitus

Ian C. Bruce, Suzanna Becker, Melissa Dominguez, 2006, Neural Computation.

Learning Temporally Persistent Hierarchical Representations

Suzanna Becker, S. Becker, 1996, NIPS.

Dynamic task-linked switching between brain networks – A tri-network perspective

Suzanna Becker, Saurabh Bhaskar Shaw, Margaret C. McKinnon, 2020, Brain and Cognition.

Computational modeling and empirical studies of hippocampal neurogenesis-dependent memory: Effects of interference, stress and depression

Suzanna Becker, J. Martin Wojtowicz, Glenda MacQueen, 2009, Brain Research.

When Do Objects Become Landmarks? A VR Study of the Effect of Task Relevance on Spatial Memory

Suzanna Becker, Michael Kahana, Patrick Byrne, 2012, PloS one.

The role of adult hippocampal neurogenesis in reducing interference.

Suzanna Becker, David M. Smith, S. Becker, 2012, Behavioral neuroscience.

Restricted Boltzmann Machine Models of Hippocampal Coding and Neurogenesis

Suzanna Becker, Rory Finnegan, S. Becker, 2017 .

Stress and binge drinking: A toxic combination for the teenage brain

Suzanna Becker, Aaron Goldstein, S. Becker, 2016, Neuropsychologia.

Neurogenesis and pattern separation: time for a divorce.

Suzanna Becker, S. Becker, 2017, Wiley interdisciplinary reviews. Cognitive science.

Examining the role of the temporo-parietal network in memory, imagery, and viewpoint transformations

Neil Burgess, Suzanna Becker, Kiret Dhindsa, 2014, Front. Hum. Neurosci..

Adult hippocampal neurogenesis and memory interference

Suzanna Becker, Gordon Winocur, J. Martin Wojtowicz, 2012, Behavioural Brain Research.

A role for adult hippocampal neurogenesis at multiple time scales: A study of recent and remote memory in humans.

Suzanna Becker, Aaron Goldstein, S. Becker, 2015, Behavioral Neuroscience.

Adult hippocampal neurogenesis reduces memory interference in humans: opposing effects of aerobic exercise and depression

Suzanna Becker, J. Martin Wojtowicz, Glenda MacQueen, 2013, Front. Neurosci..