Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Frank Klefenz"'
Publikováno v:
Mathematical Biosciences and Engineering, Vol 21, Iss 4, Pp 5762-5781 (2024)
A dendrocentric backpropagation spike timing-dependent plasticity learning rule has been derived based on temporal logic for a single octopus neuron. It receives parallel spike trains and collectively adjusts its synaptic weights in the range [0, 1]
Externí odkaz:
https://doaj.org/article/c930d491ee5947ca9c4d063d39229c26
Publikováno v:
Frontiers in Neuroscience, Vol 16 (2022)
Neuromorphic computer models are used to explain sensory perceptions. Auditory models generate cochleagrams, which resemble the spike distributions in the auditory nerve. Neuron ensembles along the auditory pathway transform sensory inputs step by st
Externí odkaz:
https://doaj.org/article/f042189b92f74ea9810bc722669ca873
Autor:
Frank Klefenz, Tamas Harczos
Publikováno v:
Frontiers in Neuroscience, Vol 14 (2020)
This study presents a computational model to reproduce the biological dynamics of “listening to music.” A biologically plausible model of periodicity pitch detection is proposed and simulated. Periodicity pitch is computed across a range of the a
Externí odkaz:
https://doaj.org/article/b20f319f713347888eeebdf7caf27f99
Autor:
Frank Klefenz, Stefano Vaccaro, Nevena Saponjic, Xavier Aubry, Daniel Llorens, Ferdinando Tiezzi, Alexandre Boulle, Frederic Bongard, Alexander Butler
Publikováno v:
2017 11th European Conference on Antennas and Propagation (EUCAP).
The details of two product concepts and the hardware realization aspects for low profile Ku-/Ka-band land mobile terminals for high data rate satellite communications are described. Beside the competitive low cost approach, the non-obstructive design
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a589dde6dfadd4026bd093b4ba288bca
https://doi.org/10.23919/eucap.2017.7928753
https://doi.org/10.23919/eucap.2017.7928753
Autor:
Adam Williamson, Frank Klefenz
Publikováno v:
Computational Intelligence and Neuroscience, Vol 2013 (2013)
Computational Intelligence and Neuroscience
Computational Intelligence and Neuroscience
A computational model of a self-structuring neuronal net is presented in which repetitively applied pattern sets induce the formation of cortical columns and microcircuits which decode distinct patterns after a learning phase. In a case study, it is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e7559090480b01b0dacd19d9efaa97e2
https://doi.org/10.1155/2013/290358
https://doi.org/10.1155/2013/290358
Publikováno v:
Informatik-Spektrum. 28:389-395
Anlehnend an die Uberlegenheit des Menschen bei der Differenzierung von Schallsignalen, verglichen mit dem aktuellen Stand der Technik, widmet sich dieser Artikel dem Aufzeigen der Mechanismen und Vorgange, die sich bei der Verarbeitung von mechanisc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a0a159082fd31dd72a7894f74990c2d2
https://doi.org/10.1007/s00287-005-0030-3
https://doi.org/10.1007/s00287-005-0030-3
Publikováno v:
IEEE Transactions on Nuclear Science. 49:339-346
Many pattern recognition problems can be solved by mapping the input data into an n-dimensional feature space in which a vector indicates a set of attributes. One powerful pattern recognition method is the Hough transform. In reducing the n-dimension
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::03acaacd9f706f0e0066a3946cd96978
https://doi.org/10.1109/tns.2002.1003733
https://doi.org/10.1109/tns.2002.1003733
For evaluation of extra-cellular recordings with multi-electrode arrays (MEAs) an algorithm is needed to detect different types of cellular activity. The algorithm presented in this paper is based on correlation. It is an efficient and simple algorit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5d2cbc7ba08680476a464dc8866e2d52
https://publica.fraunhofer.de/handle/publica/234499
https://publica.fraunhofer.de/handle/publica/234499
Autor:
Andreas Schober, Peter Husar, Lars Schumann, Frank Klefenz, Adam Williamson, Lars Hiller, Ingo Hoerselmann
We fabricate and characterize asymmetric memristors which show a very strong single-sided hysteresis. When biased in one direction there is hysteresis and in the opposite direction there is a lack of hysteresis. We demonstrate that this apparent lack
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3bc0b0f231341936fbd776f253ebf307
https://publica.fraunhofer.de/handle/publica/233334
https://publica.fraunhofer.de/handle/publica/233334
Autor:
M. Shand, D. Ronein, D. Belosloudtsev, W. Krischer, S. V. Khabarov, P. Bertin, Laurent Moll, R. Maenner, Klaus-Henning Noffz, R.K. Bock, Andreas Kugel, Jean Vuillemin, P. Boucard, Ralf Zoz, Frank Klefenz, Lars Lundheim, P. Kammel, A. Reinsch, V. Doersing
Publikováno v:
Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment. 356:457-467
The future Large Hadron Collider (LHC), to be built at CERN, presents among other technological challenges a formidable problem of real-time data analysis. At a primary event rate of 40 MHz, a multi-stage trigger system has to analyze data to decide
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::af2782ae58dd5b8636395edd5063a661
https://doi.org/10.1016/0168-9002(94)01397-7
https://doi.org/10.1016/0168-9002(94)01397-7