Zobrazeno 1 - 10
of 263
pro vyhledávání: '"van Albada, Sacha"'
Autor:
Albers, Jasper, Kurth, Anno C., Gutzen, Robin, Morales-Gregorio, Aitor, Denker, Michael, Grün, Sonja, van Albada, Sacha J., Diesmann, Markus
Assessing the similarity of matrices is valuable for analyzing the extent to which data sets exhibit common features in tasks such as data clustering, dimensionality reduction, pattern recognition, group comparison, and graph analysis. Methods propos
Externí odkaz:
http://arxiv.org/abs/2403.17687
Publikováno v:
Journal of Theoretical Biology (2017) 428, 132-146
The mechanisms underlying pathologically synchronized neural oscillations in Parkinson's disease (PD) and generalized epilepsies are jointly explored via a neural field model of the corticothalamic-basal ganglia (CTBG) system. The basal ganglia (BG)
Externí odkaz:
http://arxiv.org/abs/2401.13467
Autor:
Farisco, Michele, Baldassarre, Gianluca, Cartoni, Emilio, Leach, Antonia, Petrovici, Mihai A., Rosemann, Achim, Salles, Arleen, Stahl, Bernd, van Albada, Sacha J.
Despite its successes, to date Artificial Intelligence (AI) is still characterized by a number of shortcomings with regards to different application domains and goals. These limitations are arguably both conceptual (e.g., related to underlying theore
Externí odkaz:
http://arxiv.org/abs/2305.10938
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:
Senk, Johanna, Kriener, Birgit, Djurfeldt, Mikael, Voges, Nicole, Jiang, Han-Jia, Schüttler, Lisa, Gramelsberger, Gabriele, Diesmann, Markus, Plesser, Hans E., van Albada, Sacha J.
Publikováno v:
PLoS Comput Biol 18(9): e1010086 (2022)
Sustainable research on computational models of neuronal networks requires published models to be understandable, reproducible, and extendable. Missing details or ambiguities about mathematical concepts and assumptions, algorithmic implementations, o
Externí odkaz:
http://arxiv.org/abs/2110.02883
Autor:
Morales-Gregorio, Aitor, Kurth, Anno C., Ito, Junji, Kleinjohann, Alexander, Barthélemy, Frédéric V., Brochier, Thomas, Grün, Sonja, van Albada, Sacha J.
Publikováno v:
In Cell Reports 23 July 2024 43(7)
We are entering an age of `big' computational neuroscience, in which neural network models are increasing in size and in numbers of underlying data sets. Consolidating the zoo of models into large-scale models simultaneously consistent with a wide ra
Externí odkaz:
http://arxiv.org/abs/2011.11335
Autor:
van Albada, Sacha Jennifer, Morales-Gregorio, Aitor, Dickscheid, Timo, Goulas, Alexandros, Bakker, Rembrandt, Bludau, Sebastian, Palm, Günther, Hilgetag, Claus-Christian, Diesmann, Markus
For constructing neuronal network models computational neuroscientists have access to wide-ranging anatomical data that nevertheless tend to cover only a fraction of the parameters to be determined. Finding and interpreting the most relevant data, es
Externí odkaz:
http://arxiv.org/abs/2007.00031
Cortical oscillations implement a backbone for sampling-based computation in spiking neural networks
Autor:
Korcsak-Gorzo, Agnes, Müller, Michael G., Baumbach, Andreas, Leng, Luziwei, Breitwieser, Oliver Julien, van Albada, Sacha J., Senn, Walter, Meier, Karlheinz, Legenstein, Robert, Petrovici, Mihai A.
Publikováno v:
PLoS Comput Biol 18(3): e1009753 (2022)
Being permanently confronted with an uncertain world, brains have faced evolutionary pressure to represent this uncertainty in order to respond appropriately. Often, this requires visiting multiple interpretations of the available information or mult
Externí odkaz:
http://arxiv.org/abs/2006.11099
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