Akaysha C. Tang

According to our database1, Akaysha C. Tang authored at least 15 papers between 1996 and 2010.

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

Timeline

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Bibliography

2010
Applications of Second Order Blind Identification to High-Density EEG-Based Brain Imaging: A Review.
Proceedings of the Advances in Neural Networks, 2010

2007
Top-Down Versus Bottom-Up Processing in the Human Brain: Distinct Directional Influences Revealed by Integrating SOBI and Granger Causality.
Proceedings of the Independent Component Analysis and Signal Separation, 2007

2006
Contrasting single-trial ERPs between experimental manipulations: Improving differentiability by blind source separation.
NeuroImage, 2006

Reliable detection of bilateral activation in human primary somatosensory cortex by unilateral median nerve stimulation.
NeuroImage, 2006

Classifying Single-Trial ERPs from Visual and Frontal Cortex during Free Viewing.
Proceedings of the International Joint Conference on Neural Networks, 2006

2005
Validation of SOBI components from high-density EEG.
NeuroImage, 2005

Recovery of correlated neuronal sources from EEG: The good and bad ways of using SOBI.
NeuroImage, 2005

2003
Single-trial detection in EEG and MEG: Keeping it linear.
Neurocomputing, 2003

2002
Independent Components of Magnetoencephalography: Single-Trial Response Onset Times.
NeuroImage, 2002

Linear Spatial Integration for Single-Trial Detection in Encephalography.
NeuroImage, 2002

Independent Components of Magnetoencephalography: Localization.
Neural Comput., 2002

2000
Blind source separation of multichannel neuromagnetic responses.
Neurocomputing, 2000

1999
Cholinergic modulation of spike timing and spike rate.
Neurocomputing, 1999

An MEG Study of Response Latency and Variability in the Human Visual System During a Visual-Motor Integration Task.
Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

1996
Cholinergic Modulation Preserves Spike Timing Under Physiologically Realistic Fluctuating Input.
Proceedings of the Advances in Neural Information Processing Systems 9, 1996


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