Fabian Kloosterman

According to our database1, Fabian Kloosterman authored at least 12 papers between 2010 and 2019.

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

Timeline

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Book 
In proceedings 
Article 
PhD thesis 
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Links

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Bibliography

2019
Signal-to-peak-interference ratio maximization with automatic interference weighting for threshold-based spike sorting of high-density neural probe data.
Proceedings of the 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019

2018
Algorithm/Architecture Co-optimisation Technique for Automatic Data Reduction of Wireless Read-Out in High-Density Electrode Arrays.
ACM Trans. Embedded Comput. Syst., 2018

Data-Driven Multi-Channel Filter Design with Peak-Interference Suppression for Threshold-Based Spike Sorting in High-Density Neural Probes.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
Time Multiplexed Active Neural Probe with 1356 Parallel Recording Sites.
Sensors, 2017

2016
A Novel Nonparametric Approach for Neural Encoding and Decoding Models of Multimodal Receptive Fields.
Neural Computation, 2016

Kernel density compression for real-time Bayesian encoding/decoding of unsorted hippocampal spikes.
Knowl.-Based Syst., 2016

Time multiplexed active neural probe with 678 parallel recording sites.
Proceedings of the 46th European Solid-State Device Research Conference, 2016

Neuronal encoding models of complex receptive fields: A comparison of nonparametric and parametric approaches.
Proceedings of the 2016 Annual Conference on Information Science and Systems, 2016

2014
Ultra-high-density in-vivo neural probes.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2012
Uncovering spatial topology represented by rat hippocampal population neuronal codes.
Journal of Computational Neuroscience, 2012

Transductive neural decoding for unsorted neuronal spikes of rat hippocampus.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2010
Variational Bayesian inference for point process generalized linear models in neural spike trains analysis.
Proceedings of the IEEE International Conference on Acoustics, 2010


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