Publications
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Design and Validation of Low-complexity Methods for Resolving Spike Overlap in Neuronal Spike Sorting KU Leuven
Despite many neuroscientific breakthroughs, it remains largely unknown how brain activity supports cognition. Obtaining such a fundamental understanding of the brain has the potential to foster new clinical applications aimed at improving functional deficits resulting from a 'malfunctioning' brain. The identification of causal relationships between brain activity and cognition depends on the real-time characterization of neural activity. By ...
A data-driven spike sorting feature map for resolving spike overlap in the feature space. Flanders Institute for Biotechnology KU Leuven
A neural network-based spike sorting feature map that resolves spike overlap in the feature space KU Leuven
Closed-loop optical neural stimulation based on a 32-channel low-noise recording system with online spike sorting KU Leuven
OBJECTIVE: Closed-loop operation of neuro-electronic systems is desirable for both scientific and clinical (neuroprosthesis) applications. Integrating optical stimulation with recording capability further enhances the selectivity of neural stimulation. We have developed a system enabling the local delivery of optical stimuli and the simultaneous electrical measuring of the neural activities in a closed-loop approach. APPROACH: The signal ...
Data-driven multi-channel filter design with peak-inference suppression for threshold-based spike sorting in high-density neural probes KU Leuven
© 2018 IEEE. Spike sorting is the process of assigning each detected neuronal spike in an extracellular recording to its putative source neuron. A linear filter design is proposed where the filter output allows for threshold-based spike sorting of high-density neural probe data. The proposed filter design is based on optimizing the signal-to-peak-interference ratio for each detectable neuron in a data-driven way. Threshold-based spike sorting ...
Objective evaluation of stimulation artefact removal techniques in the context of neural spike sorting. KU Leuven
Objective - We present a framework to objectively test and compare stimulation artefact removal techniques in the context of neural spike sorting. Approach - To this end, we used realistic hybrid ground-truth spiking data, with superimposed artefacts from in vivo recordings. We used the framework to evaluate and compare several techniques: blanking, template subtraction by averaging, linear regression, and a multi-channel Wiener filter (MWF). ...
Closed-loop optical stimulation and recording system with GPU-based real-time spike sorting KU Leuven
Closed-loop brain computer interfaces are rapidly progressing due to their applications in fundamental neuroscience and prosthetics. For optogenetic experiments, the integration of optical stimulation and electrophysiological recordings is emerging as an imperative engineering research topic. Optical stimulation does not only bring the advantage of cell-type selectivity, but also provides an alternative solution to the electrical ...
Signal-to-peak-interference ratio maximization with automatic interference weighting for threshold-based spike sorting of high-density neural probe data KU Leuven
© 2019 IEEE. An innovative filter design method is proposed for threshold-based spike sorting of high-density neural recordings. Threshold-based spike sorting is the process of assigning each detected spike in an extracellular recording to its putative neuron, using only linear filters and simple thresholding operations. The low computational complexity of threshold-based spike sorting makes it interesting for real-time (hardware) ...