Suzanna Becker

According to our database1, Suzanna Becker authored at least 32 papers between 1991 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.



In proceedings 
PhD thesis 




BCI Illiteracy: It's Us, Not Them. Optimizing BCIs for Individual Brains.
Proceedings of the 10th International Winter Conference on Brain-Computer Interface, 2022

Capturing the Forest but Missing the Trees: Microstates Inadequate for Characterizing Shorter-Scale EEG Dynamics.
Neural Comput., 2019

Grading Prenatal Hydronephrosis from Ultrasound Imaging Using Deep Convolutional Neural Networks.
Proceedings of the 15th Conference on Computer and Robot Vision, 2018

Toward an Open-Ended BCI: A User-Centered Coadaptive Design.
Neural Comput., 2017

The Effects of Physical Exercise and Cognitive Training on Memory and Neurotrophic Factors.
J. Cogn. Neurosci., 2017

Emotional reaction recognition from EEG.
Proceedings of the 2017 International Workshop on Pattern Recognition in Neuroimaging, 2017

A Brain-Computer Interface Based on Abstract Visual and Auditory Imagery: Evidence for an Effect of Artistic Training.
Proceedings of the Augmented Cognition. Enhancing Cognition and Behavior in Complex Human Environments, 2017

SRNEngine: A Windows-based Neural Network Simulation Tool for the Non-programmer.
Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

Can homeostatic plasticity in deafferented primary auditory cortex lead to travelling waves of excitation?
J. Comput. Neurosci., 2011

A Principle for Learning Egocentric-Allocentric Transformation.
Neural Comput., 2008

A Spiking Neuron Model of Cortical Correlates of Sensorineural Hearing Loss: Spontaneous Firing, Synchrony, and Tinnitus.
Neural Comput., 2006

A Computational Model of the Functional Role of the Ventral-Striatal D2 Receptor in the Expression of Previously Acquired Behaviors.
Neural Comput., 2005

A Novel Model-Based Hearing Compensation Design Using a Gradient-Free Optimization Method.
Neural Comput., 2005

Stochastic correlative learning algorithms.
IEEE Trans. Signal Process., 2004

Development of a flexible, realistic hearing in noise test environment (R-HINT-E).
Signal Process., 2004

A novel signal-processing strategy for hearing-aid design: neurocompensation.
Signal Process., 2004

Modeling Mental Navigation in Scenes with Multiple Objects.
Neural Comput., 2004

Theory of Monte Carlo sampling-based Alopex algorithms for neural networks.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Predicting Speech Intelligibility from a Population of Neurons.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

From Dopamine to Psychosis: A Computational Approach.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2003

Associative Arithmetic with Boltzmann Machines: The Role of Number Representations.
Proceedings of the Artificial Neural Networks, 2002

Modelling Spatial Recall, Mental Imagery and Neglect.
Proceedings of the Advances in Neural Information Processing Systems 13, 2000

Implicit Learning in 3D Object Recognition: The Importance of Temporal Context.
Neural Comput., 1999

A Model for Associative Multiplication.
Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

Unsupervised Neural Network Learning Procedures for Feature Extraction and Classification.
Appl. Intell., 1996

Learning Temporally Persistent Hierarchical Representations.
Proceedings of the Advances in Neural Information Processing Systems 9, 1996

JPMAX: Learning to Recognize Moving Objects as a Model-fitting Problem.
Proceedings of the Advances in Neural Information Processing Systems 7, 1994

Learning Mixture Models of Spatial Coherence.
Neural Comput., 1993

D. S. Levine, Introduction to Neural and Cognitive Modeling.
Artif. Intell., 1993

Learning to Categorize Objects Using Temporal Coherence.
Proceedings of the Advances in Neural Information Processing Systems 5, [NIPS Conference, Denver, Colorado, USA, November 30, 1992

Unsupervised Learning Procedures for Neural Networks.
Int. J. Neural Syst., 1991

Learning to Make Coherent Predictions in Domains with Discontinuities.
Proceedings of the Advances in Neural Information Processing Systems 4, 1991