Zobrazeno 1 - 10
of 377
pro vyhledávání: '"Morrison Abigail"'
Autor:
Kipp, Jonathan, Lux, Fabian R., Pürling, Thorben, Morrison, Abigail, Blügel, Stefan, Pinna, Daniele, Mokrousov, Yuriy
The anomalous Hall effect has been front and center in solid state research and material science for over a century now, and the complex transport phenomena in nontrivial magnetic textures have gained an increasing amount of attention, both in theore
Externí odkaz:
http://arxiv.org/abs/2401.03044
Mutation validation (MV) is a recently proposed approach for model selection, garnering significant interest due to its unique characteristics and potential benefits compared to the widely used cross-validation (CV) method. In this study, we empirica
Externí odkaz:
http://arxiv.org/abs/2311.14079
Autor:
Golosio, Bruno, Villamar, Jose, Tiddia, Gianmarco, Pastorelli, Elena, Stapmanns, Jonas, Fanti, Viviana, Paolucci, Pier Stanislao, Morrison, Abigail, Senk, Johanna
Publikováno v:
Appl. Sci. 2023, 13(17), 9598
Simulation speed matters for neuroscientific research: this includes not only how quickly the simulated model time of a large-scale spiking neuronal network progresses, but also how long it takes to instantiate the network model in computer memory. O
Externí odkaz:
http://arxiv.org/abs/2306.09855
Autor:
Romero, Cristian Jimenez, Yegenoglu, Alper, Martín, Aarón Pérez, Diaz-Pier, Sandra, Morrison, Abigail
Social insects such as ants communicate via pheromones which allows them to coordinate their activity and solve complex tasks as a swarm, e.g. foraging for food. This behavior was shaped through evolutionary processes. In computational models, self-c
Externí odkaz:
http://arxiv.org/abs/2212.08484
Autor:
Korcsak-Gorzo, Agnes, Linssen, Charl, Albers, Jasper, Dasbach, Stefan, Duarte, Renato, Kunkel, Susanne, Morrison, Abigail, Senk, Johanna, Stapmanns, Jonas, Tetzlaff, Tom, Diesmann, Markus, van Albada, Sacha J.
This chapter sheds light on the synaptic organization of the brain from the perspective of computational neuroscience. It provides an introductory overview on how to account for empirical data in mathematical models, implement such models in software
Externí odkaz:
http://arxiv.org/abs/2212.05354
Autor:
Yegenoglu, Alper, Subramoney, Anand, Hater, Thorsten, Jimenez-Romero, Cristian, Klijn, Wouter, Martin, Aaron Perez, van der Vlag, Michiel, Herty, Michael, Morrison, Abigail, Diaz-Pier, Sandra
Neuroscience models commonly have a high number of degrees of freedom and only specific regions within the parameter space are able to produce dynamics of interest. This makes the development of tools and strategies to efficiently find these regions
Externí odkaz:
http://arxiv.org/abs/2202.13822
Publikováno v:
BMC Neuroscience, Vol 12, Iss Suppl 1, p P229 (2011)
Externí odkaz:
https://doaj.org/article/dd8ea17123274f3b984965b4424a937d
Publikováno v:
BMC Neuroscience, Vol 12, Iss Suppl 1, p P228 (2011)
Externí odkaz:
https://doaj.org/article/38f87670d843446487fa27323695040b
Autor:
Muller Eilif, Morrison Abigail, Lo Chung-Chan, Le Franc Yann, Kriener Birgit, Hines Mike, Hill Sean, Plesser Hans, Gorchetchnikov Anatoli, Gleeson Padraig, Djurfeldt Mikael, De Schutter Erik, Davison Andrew, Cornelis Hugo, Clewley Robert, Cannon Robert, Raikov Ivan, Ray Subhasis, Schwabe Lars, Szatmary Botond
Publikováno v:
BMC Neuroscience, Vol 12, Iss Suppl 1, p P330 (2011)
Externí odkaz:
https://doaj.org/article/40649a64c39e4385b93387b571b3928b
Publikováno v:
BMC Neuroscience, Vol 11, Iss Suppl 1, p P108 (2010)
Externí odkaz:
https://doaj.org/article/ad3503d505e143c181df3babc5f51d30