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Category: scientific publication

Improving the performance of EEG decoding using anchored-STFT in conjunction with gradient norm adversarial augmentation

Posted on December 1, 2020December 1, 2020 By Muhammad Saif-Ur-Rehman No Comments on Improving the performance of EEG decoding using anchored-STFT in conjunction with gradient norm adversarial augmentation
Improving the performance of EEG decoding using anchored-STFT in conjunction with gradient norm adversarial augmentation
publication, scientific publication

Preprint https://arxiv.org/abs/2011.14694 AbstractObjective. Brain-computer interfaces (BCIs) enable direct communication between humans and machines by translating brain activity into control commands. Electroencephalography (EEG) is one of the most common sources of neural signals because of its inexpensive and non-invasivenature. However, interpretation of EEG signals is non-trivial because EEG signals have a low spatial resolution and are … Read More “Improving the performance of EEG decoding using anchored-STFT in conjunction with gradient norm adversarial augmentation” »

SpikeDeeptector: a deep-learning based method for detection of neural spiking activity

Posted on September 19, 2019October 19, 2020 By jannis No Comments on SpikeDeeptector: a deep-learning based method for detection of neural spiking activity
scientific publication

Journal of Neural Engineering: https://iopscience.iop.org/article/10.1088/1741-2552/ab1e63 In electrophysiology, microelectrodes are the primary source for recording neural data (single unit activity). These microelectrodes can be implanted individually or in the form of arrays containing dozens to hundreds of channels. Recordings of some channels contain neural activity, which are often contaminated with noise. Another fraction of channels does … Read More “SpikeDeeptector: a deep-learning based method for detection of neural spiking activity” »

SpikeDeeptector: a deep-learning based method for detection of neural spiking activity

Posted on September 19, 2019October 9, 2020 By jannis No Comments on SpikeDeeptector: a deep-learning based method for detection of neural spiking activity
scientific publication

Journal of Neural Engineering: https://iopscience.iop.org/article/10.1088/1741-2552/ab1e63 In electrophysiology, microelectrodes are the primary source for recording neural data (single unit activity). These microelectrodes can be implanted individually or in the form of arrays containing dozens to hundreds of channels. Recordings of some channels contain neural activity, which are often contaminated with noise. Another fraction of channels does … Read More “SpikeDeeptector: a deep-learning based method for detection of neural spiking activity” »

SfN: Universal Spikedeeptector

Posted on September 19, 2019October 9, 2020 By jannis No Comments on SfN: Universal Spikedeeptector
Conference participation, scientific publication

State-of-the-art microelectrode array technology enables simultaneous, large-scale single unit recordings from hundreds of channels. Identification of channels recording neural data as compared to noise is the first step for all further analyses. Automatizing this process aims at minimizing the human involvement and time for manual curation. In our previous study, we introduced the “SpikeDeeptector” (SD), … Read More “SfN: Universal Spikedeeptector” »

SfN 2019: Universal Spikedeeptector

Posted on September 19, 2019October 9, 2020 By jannis No Comments on SfN 2019: Universal Spikedeeptector
Conference participation, scientific publication

State-of-the-art microelectrode array technology enables simultaneous, large-scale single unit recordings from hundreds of channels. Identification of channels recording neural data as compared to noise is the first step for all further analyses. Automatizing this process aims at minimizing the human involvement and time for manual curation. In our previous study, we introduced the “SpikeDeeptector” (SD), … Read More “SfN 2019: Universal Spikedeeptector” »

SfN2018: Temporal stabilized arm movement for efficient neuroprosthetic control by individuals with tetraplegia

Posted on October 31, 2018October 9, 2020 By jannis No Comments on SfN2018: Temporal stabilized arm movement for efficient neuroprosthetic control by individuals with tetraplegia
scientific publication

The generation of discrete movement with distinct and stable time courses characterizes each human movement and reflect the need to perform catching and interception tasks and for timed action sequences, incorporating dynamically changing environmental constraints. Exo-AnzugSeveral lines of evidence suggest neuronal mechanism for the initiation of movements i.e. in the supplementary motor area (SMA) and the premotor cortex and for movement planning mechanism generating velocity profiles satisfying time constraints.
In order to meet the requirements of on-line evolving trajectories we propose a model, based on dynamical systems which describes goal directed trajectories in humans and generates trajectories for redundant anthropomorphic robotic arms. The analysis of the attractor dynamics based on the qualitative comparison with measurements of resulting trajectories taken from arm movement experiments with humans created a framework able to reproduce and to generate naturalistic human like arm trajectories.

Read More “SfN2018: Temporal stabilized arm movement for efficient neuroprosthetic control by individuals with tetraplegia” »

SfN2018: Temporal stabilized arm movement for efficient neuroprosthetic control by individuals with tetraplegia

Posted on October 31, 2018October 9, 2020 By jannis No Comments on SfN2018: Temporal stabilized arm movement for efficient neuroprosthetic control by individuals with tetraplegia
Conference participation, scientific publication

The generation of discrete movement with distinct and stable time courses characterizes each human movement and reflect the need to perform catching and interception tasks and for timed action sequences, incorporating dynamically changing environmental constraints. Exo-AnzugSeveral lines of evidence suggest neuronal mechanism for the initiation of movements i.e. in the supplementary motor area (SMA) and the premotor cortex and for movement planning mechanism generating velocity profiles satisfying time constraints.
In order to meet the requirements of on-line evolving trajectories we propose a model, based on dynamical systems which describes goal directed trajectories in humans and generates trajectories for redundant anthropomorphic robotic arms. The analysis of the attractor dynamics based on the qualitative comparison with measurements of resulting trajectories taken from arm movement experiments with humans created a framework able to reproduce and to generate naturalistic human like arm trajectories.

Read More “SfN2018: Temporal stabilized arm movement for efficient neuroprosthetic control by individuals with tetraplegia” »

Low dimensional representation of human arm movement for efficient neuroprosthetic control by individuals with tetraplegia

Posted on September 21, 2017October 9, 2020 By jannis No Comments on Low dimensional representation of human arm movement for efficient neuroprosthetic control by individuals with tetraplegia
Conference participation, scientific publication

KUKAMenschCropOver the last decades the generation mechanism and the representation of goal- directed movements has been a topic of intensive neurophysiological research. The investigation in the motor, premotor, and parietal areas led to the discovery that the direction of hand’s movement in space was encoded by populations of neurons in these areas together with many other movement parameters. These distributions of population activation reflect how movements are prepared ahead of movement initiation, as revealed by activity induced by cues that precede the imperative signal (Georgopoulos, 1991).

Inspired by those findings a model based on dynamical systems was proposed both, to model goal directed trajectories in humans and to generate trajectories for redundant anthropomorphic robotic arms. The analysis of the attractor dynamics based on the qualitative comparison with measurements of resulting trajectories taken from arm movement experiments with humans (Grimme u. a., 2012) created a framework able to reproduce and to generate naturalistic human like arm trajectories (Iossifidis und Rano, 2013; Iossifidis, Schöner u. a., 2006).

Read More “Low dimensional representation of human arm movement for efficient neuroprosthetic control by individuals with tetraplegia” »

SfN 2017: Low dimensional representation of human arm movement for efficient neuroprosthetic control by individuals with tetraplegia

Posted on September 21, 2017October 9, 2020 By jannis No Comments on SfN 2017: Low dimensional representation of human arm movement for efficient neuroprosthetic control by individuals with tetraplegia
Conference participation, scientific publication

KUKAMenschCropOver the last decades the generation mechanism and the representation of goal- directed movements has been a topic of intensive neurophysiological research. The investigation in the motor, premotor, and parietal areas led to the discovery that the direction of hand’s movement in space was encoded by populations of neurons in these areas together with many other movement parameters. These distributions of population activation reflect how movements are prepared ahead of movement initiation, as revealed by activity induced by cues that precede the imperative signal (Georgopoulos, 1991).

Inspired by those findings a model based on dynamical systems was proposed both, to model goal directed trajectories in humans and to generate trajectories for redundant anthropomorphic robotic arms. The analysis of the attractor dynamics based on the qualitative comparison with measurements of resulting trajectories taken from arm movement experiments with humans (Grimme u. a., 2012) created a framework able to reproduce and to generate naturalistic human like arm trajectories (Iossifidis und Rano, 2013; Iossifidis, Schöner u. a., 2006).

Read More “SfN 2017: Low dimensional representation of human arm movement for efficient neuroprosthetic control by individuals with tetraplegia” »

ICRA2013:Closed Form Solution for Inverse Kinematical Mapping for Redundant Open Chain Manipulators (submitted)

Posted on October 3, 2013October 9, 2020 By jannis No Comments on ICRA2013:Closed Form Solution for Inverse Kinematical Mapping for Redundant Open Chain Manipulators (submitted)
Conference participation, scientific publication

In the current work a closed form solution for a multi redundant open chain manipulator is presented. Exploiting the geometrical properties of the open chain we derive first ananalytic solution for the seven degree of freedom arm. And introduce then a methodology to incorporate additional degree of freedoms in the chain preserving the closed form … Read More “ICRA2013:Closed Form Solution for Inverse Kinematical Mapping for Redundant Open Chain Manipulators (submitted)” »

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