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Research Group: Computational Modeling and BCI



	[download] [download] A video-clip from the ICRA2010 paper: "A discrete computational model of sensorimotor contingencies for object perception and control of behavior." by Maye & Engel. [download] [download]

	A Simple Communication Tool for Severely Disabled People Based on Visual Non-spatial Attention. J Neural Eng. 2010:7(1)
[head of group:]
	Dr.rer.nat. Alexander Maye

[group members:]
	Malte Groth Bachelor student
	Dr.med. Jens Kleesiek Doctoral candidate (Dr.rer.nat.)
	Vivienne Paton Bachelor student
	Malte Sengelmann Doctoral candidate

[equipment / methods:]
	32-channel active electrode EEG systems systems for recording physiological signals like ECG, EMG, temperature, GSR, breathing frequency Robotino robots equipped with an omnidirectional drive, a webcam, and infrared distance sensors Lego Mindstorm robots equipped with a 2-wheel drive, an ultrasound distance sensor, a microphone, and an optic sensor Steady State Visual Evoked Potentials (SSVEP) Motor Imagery Attentional modulation Time-frequency analyses, ICA, PCA Classifiers Artificial Neural Networks (ANN), Recurrent Neural Networks (RNN) Dynamical systems theory
[research topics:]
	Brain-Computer Interfaces (BCI) Neurofeedback Computational models of oscillatory brain dynamics Computational models of cognition Computational models of spiking activity in basal ganglia
[Brain-Computer Interfaces (BCI):]

[Neurofeedback:]
	Neurofeedback allows a person to observe his or her own brain activity by giving visual or auditory feedback. This allows the user to develop strategies to adjust the own mental activity. This can be employed to bring the person into a desired cognitive or physiological state (e.g., relaxing), or to control a computer. Currently we investigate the potential of neurofeedback as a training method for BCI systems.

[Computational models of oscillatory brain dynamics:]
	Oscillatory dynamics of neuronal activity is a commonly observed phenomenon in neurophysiological experiments. The properties of networks of coupled oscillators have been investigated in a number of computational models. Current hypotheses about the functional roles of oscillations consider it as a gating mechanism, a mechanism for modulating sensory processing, or a system of internal reference clocks. Still there are many open questions about mechanisms of information processing in oscillator networks and the role of oscillations for generating behavior. Our projects in this area aim at elucidating computational mechnaisms of oscillatory networks, developing network activity analysis methods, and modelling oscillatory effects found in EEG experiments on size perception.

[Computational models of cognition:]
	As part of several cooperations supported by the EU, we are involved in projects implementing robot systems that combine visual and auditory information processing to achieve orienting behaviour, object recognition, navigation, and memory formation. The projects combine a synthetic biorobotics approach with neurophysiological experiments in humans, and computational modeling that allows to identify relevant information processing principles.

[Current third-party found projects:]
	The group paricipates in the EU-funded project "SMCs-Extending Sensomotor Contingencies to Cognition" (esmcs.eu), IST-270212.

[collaborators:]
	Peter König, Dept. of Cognitive Science, University of Osnabrück Shangkai Gao, Dept. of Biomedical Engineering, Tsinghua University, Beijing Markus Werning, Dept. of Philosophy & Mercator Research Group, Ruhr University of Bochum Björn Brembs, Dept. of Neurobiology, Free University of Berlin

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Research Group: Computational Modeling and BCI

Research Group:

Computational Modeling and BCI