Suzanna Becker

Publication Activity (10 Years)

Years Active: 1991-2022
Publications (10 Years): 7

Top Topics

Steady State Visual Evoked

Ultrasound Imaging

Convolutional Neural Networks

Training Sessions

Top Venues

Publications

Suzanna Becker, Kiret Dhindsa, Leila Mousapour, Yar Al Dabagh
BCI Illiteracy: It's Us, Not Them. Optimizing BCIs for Individual Brains. BCI (2022)
Saurabh Bhaskar Shaw, Kiret Dhindsa, James P. Reilly, Suzanna Becker
Capturing the Forest but Missing the Trees: Microstates Inadequate for Characterizing Shorter-Scale EEG Dynamics. Neural Comput. 31 (11) (2019)
Kiret Dhindsa, Lauren C. Smail, Melissa McGrath, Luis H. Braga, Suzanna Becker, Ranil R. Sonnadara
Grading Prenatal Hydronephrosis from Ultrasound Imaging Using Deep Convolutional Neural Networks. CRV (2018)
Jennifer J. Heisz, Ilana B. Clark, Katija Bonin, Emily M. Paolucci, Bernadeta Michalski, Suzanna Becker, Margaret Fahnestock
The Effects of Physical Exercise and Cognitive Training on Memory and Neurotrophic Factors. J. Cogn. Neurosci. 29 (11) (2017)
Kiret Dhindsa, Dean Carcone, Suzanna Becker
A Brain-Computer Interface Based on Abstract Visual and Auditory Imagery: Evidence for an Effect of Artistic Training. HCI (15) (2017)
Kiret Dhindsa, Suzanna Becker
Emotional reaction recognition from EEG. PRNI (2017)
Kiret Dhindsa, Dean Carcone, Suzanna Becker
Toward an Open-Ended BCI: A User-Centered Coadaptive Design. Neural Comput. 29 (10) (2017)
Steven R. Howell, Suzanna Becker
SRNEngine: A Windows-based Neural Network Simulation Tool for the Non-programmer. CogSci (2013)
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? J. Comput. Neurosci. 30 (2) (2011)
Patrick Byrne, Suzanna Becker
A Principle for Learning Egocentric-Allocentric Transformation. Neural Comput. 20 (3) (2008)
Melissa Dominguez, Suzanna Becker, Ian C. Bruce, Heather L. Read
A Spiking Neuron Model of Cortical Correlates of Sensorineural Hearing Loss: Spontaneous Firing, Synchrony, and Tinnitus. Neural Comput. 18 (12) (2006)
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 Comput. 17 (12) (2005)
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 Comput. 17 (2) (2005)
Zhe Chen, Simon Haykin, Suzanna Becker
Theory of Monte Carlo sampling-based Alopex algorithms for neural networks. ICASSP (5) (2004)
Simon Haykin, Zhe Chen, Suzanna Becker
Stochastic correlative learning algorithms. IEEE Trans. Signal Process. 52 (8) (2004)
Patrick Byrne, Suzanna Becker
Modeling Mental Navigation in Scenes with Multiple Objects. Neural Comput. 16 (9) (2004)
Jeff Bondy, Suzanna Becker, Ian C. Bruce, Laurel J. Trainor, Simon Haykin
A novel signal-processing strategy for hearing-aid design: neurocompensation. Signal Process. 84 (7) (2004)
Laurel J. 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 Process. 84 (2) (2004)
Andrew James Smith, Suzanna Becker, Shitij Kapur
From Dopamine to Psychosis: A Computational Approach. KES (2003)
Jeff Bondy, Ian C. Bruce, Suzanna Becker, Simon Haykin
Predicting Speech Intelligibility from a Population of Neurons. NIPS (2003)
Ivilin Stoianov, Marco Zorzi, Suzanna Becker, Carlo Umilta
Associative Arithmetic with Boltzmann Machines: The Role of Number Representations. ICANN (2002)
Suzanna Becker, Neil Burgess
Modelling Spatial Recall, Mental Imagery and Neglect. NIPS (2000)
Suzanna Becker
Implicit Learning in 3D Object Recognition: The Importance of Temporal Context. Neural Comput. 11 (2) (1999)
G. Bjorn Christianson, Suzanna Becker
A Model for Associative Multiplication. NIPS (1998)
Suzanna Becker, Mark D. Plumbley
Unsupervised Neural Network Learning Procedures for Feature Extraction and Classification. Appl. Intell. 6 (3) (1996)
Suzanna Becker
Learning Temporally Persistent Hierarchical Representations. NIPS (1996)
Suzanna Becker
JPMAX: Learning to Recognize Moving Objects as a Model-fitting Problem. NIPS (1994)
Suzanna Becker
D. S. Levine, Introduction to Neural and Cognitive Modeling. Artif. Intell. 62 (1) (1993)
Suzanna Becker, Geoffrey E. Hinton
Learning Mixture Models of Spatial Coherence. Neural Comput. 5 (2) (1993)
Suzanna Becker
Learning to Categorize Objects Using Temporal Coherence. NIPS (1992)
Suzanna Becker
Unsupervised Learning Procedures for Neural Networks. Int. J. Neural Syst. 2 (1-2) (1991)
Suzanna Becker, Geoffrey E. Hinton
Learning to Make Coherent Predictions in Domains with Discontinuities. NIPS (1991)