Zobrazeno 1 - 10
of 76
pro vyhledávání: '"Karlheinz Ochs"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract Circuit implementations of neuronal networks so far have been focusing on synaptic weight changes as network growth principles. Besides these weight changes, however, it is also useful to incorporate additional network growth principles such
Externí odkaz:
https://doaj.org/article/f09a5ae7c4e94922810924365abce90b
Publikováno v:
Communications Physics, Vol 7, Iss 1, Pp 1-14 (2024)
Abstract Reservoir computing is an efficient and flexible framework for decision-making, control, and signal processing. It uses a network of interacting components varying from abstract nonlinear dynamical systems to physical substrates. Despite rec
Externí odkaz:
https://doaj.org/article/406a972d5dce43b2a7b0123dfa0c459b
Autor:
Bakr Al Beattie, Karlheinz Ochs
Publikováno v:
International Journal of Circuit Theory and Applications.
Autor:
Karlheinz Ochs, Bakr Al Beattie
We report on a systematic procedure for the port-wise decomposition of electrical networks, which we refer to as the template-based approach. Our method exploits the SPQR-tree decomposition as an algorithmic procedure for decomposing a given circuit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a816c4f4759e03331d3c27bb855118c2
https://doi.org/10.36227/techrxiv.21769298
https://doi.org/10.36227/techrxiv.21769298
We study the synchronization behavior of a class of identical FitzHugh-Nagumo-type oscillators under linear diffusive coupling. We describe the oscillators by a circuit model and we provide a sufficient synchronization condition that relies on the sh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::46f6fcc832e94e5fc2887f1ea3856bce
https://doi.org/10.36227/techrxiv.21679532.v1
https://doi.org/10.36227/techrxiv.21679532.v1
Autor:
Karlheinz Ochs, Enver Solan, Gerhard Kahmen, Eduardo Perez, Max Uhlmann, Emilio Perez-Bosch Quesada, Bakr Al Beattie
The reliable and compact modeling of RRAM devices is crucial for supporting the development of novel technologies including them. The latter includes a wide range of applications, such as in-memory computing in neuromorphic networks or memristive log
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::18a8f8ead363dc7150150ecd4e27b8e1
https://doi.org/10.36227/techrxiv.21679964
https://doi.org/10.36227/techrxiv.21679964
Autor:
Bakr Al Beattie, Karlheinz Ochs
We report on a novel method for solving one-dimensional moving boundary problems based on wave digital principles. Here, we exploit multidimensional wave digital algorithms to derive an efficient and robust algorithm for the solution of the considere
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8004ed98f59c4a3ee599ddbe42b7f1a1
https://doi.org/10.21203/rs.3.rs-2229820/v1
https://doi.org/10.21203/rs.3.rs-2229820/v1
Publikováno v:
IEEE Transactions on Circuits and Systems I: Regular Papers. 68:3656-3667
Hardware realizations of neuronal networks should also consider axon growth in addition to synaptic weight changes, because this accounts for an additional dynamic aspect due to the delayed signal transmission varying with the grown axon length. Our
Autor:
Sebastian Jenderny, Karlheinz Ochs
Publikováno v:
International Journal of Circuit Theory and Applications. 49:3526-3539
Autor:
Sebastian Jenderny, Karlheinz Ochs
Publikováno v:
2022 IEEE Biomedical Circuits and Systems Conference (BioCAS).