Michael Schmuker
Orcid: 0000-0001-6753-4929
According to our database1,
Michael Schmuker
authored at least 23 papers
between 2006 and 2024.
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Bibliography
2024
CoRR, 2024
Proceedings of the IEEE International Symposium on Circuits and Systems, 2024
2023
Limitations in odour recognition and generalisation in a neuromorphic olfactory circuit.
CoRR, 2023
Spike-time encoding of gas concentrations using neuromorphic analog sensory front-end.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2023
2022
J. Comput. Neurosci., 2022
Proceedings of the NICE 2022: Neuro-Inspired Computational Elements Conference, 2022
Rapid Recognition of Olfactory Scenes with a Portable MOx Sensor System using Hotplate Modulation.
Proceedings of the IEEE International Symposium on Olfaction and Electronic Nose, 2022
Machine Learning Approaches to Classify Anatomical Regions in Rodent Brain from High Density Recordings.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
2021
Growth rules for the repair of Asynchronous Irregular neuronal networks after peripheral lesions.
PLoS Comput. Biol., 2021
Feed-forward and noise-tolerant detection of feature homogeneity in spiking networks with a latency code.
Biol. Cybern., 2021
2020
2019
Low-Power Neuromorphic Hardware for Signal Processing Applications: A review of architectural and system-level design approaches.
IEEE Signal Process. Mag., 2019
2017
Predicting voluntary movements from motor cortical activity with neuromorphic hardware.
IBM J. Res. Dev., 2017
2015
Erratum to "Automatic segmentation of odour maps in the mouse olfactory bulb using regularized non-negative matrix factorization" [NeuroImage 98 (2014) 279-288].
NeuroImage, 2015
2014
Proceedings of the Encyclopedia of Computational Neuroscience, 2014
Proceedings of the Encyclopedia of Computational Neuroscience, 2014
Automatic segmentation of odor maps in the mouse olfactory bulb using regularized non-negative matrix factorization.
NeuroImage, 2014
2006
Optimized Particle Swarm Optimization (OPSO) and its application to artificial neural network training.
BMC Bioinform., 2006