Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Alexander van Meegen"'
Publikováno v:
Physical Review Research, Vol 6, Iss 3, p 033264 (2024)
It is frequently hypothesized that cortical networks operate close to a critical point. Advantages of criticality include rich dynamics well suited for computation and critical slowing down, which may offer a mechanism for dynamic memory. However, me
Externí odkaz:
https://doaj.org/article/989ab1e3ff584d4598af8a0035195b3e
Publikováno v:
Frontiers in Neuroinformatics, Vol 16 (2022)
Mean-field theory of neuronal networks has led to numerous advances in our analytical and intuitive understanding of their dynamics during the past decades. In order to make mean-field based analysis tools more accessible, we implemented an extensibl
Externí odkaz:
https://doaj.org/article/d21cbf5684f3480ea92835d0c1e80b5b
Publikováno v:
Physical Review Research, Vol 3, Iss 4, p 043077 (2021)
A complex interplay of single-neuron properties and the recurrent network structure shapes the activity of cortical neurons. The single-neuron activity statistics differ in general from the respective population statistics, including spectra and, cor
Externí odkaz:
https://doaj.org/article/dcc4c90d76d14606aac18f6328bc4a45
Autor:
Jari Pronold, Alexander van Meegen, Hannah Vollenbröker, Renan O. Shimoura, Mario Senden, Claus C. Hilgetag, Rembrandt Bakker, Sacha J. van Albada
Publikováno v:
bioRxiv beta (2023). doi:10.1101/2023.03.23.533968v1
Although the structure of cortical networks provides the necessary substrate for their neuronal activity, the structure alone does not suffice to understand it. Leveraging the increasing availability of human data, we developed a multi-scale, spiking
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::30cc04418257b12bd39efd36934176f3
https://doi.org/10.1101/2023.03.23.533968
https://doi.org/10.1101/2023.03.23.533968
Numbers of neurons and their spatial variation are fundamental organizational features of the brain. Despite the large corpus of cytoarchitectonic data available in the literature, the statistical distributions of neuron densities within and across b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a2e6945d42888b95700d65ada5a408be
https://juser.fz-juelich.de/record/906997
https://juser.fz-juelich.de/record/906997
Mean-field theory of spiking neuronal networks has led to numerous advances in our analytical and intuitive understanding of the dynamics of neuronal network models during the past decades. But, the elaborate nature of many of the developed methods,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::39b7bb24dbf1b9a511ac1be06c3eb059
https://hdl.handle.net/2128/30123
https://hdl.handle.net/2128/30123
Publikováno v:
Cham : Springer, Lecture Notes in Computer Science 12339, 47-59 (2021).
Brain-Inspired Computing
Brain-Inspired Computing4th International Workshop, BrainComp 2019, Cetraro, Italy, 2019-07-15-2019-07-19
Lecture Notes in Computer Science ISBN: 9783030824266
BrainComp
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Brain-Inspired Computing
Brain-Inspired Computing
Brain-Inspired Computing4th International Workshop, BrainComp 2019, Cetraro, Italy, 2019-07-15-2019-07-19
Lecture Notes in Computer Science ISBN: 9783030824266
BrainComp
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Brain-Inspired Computing
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 wid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a79db7aaa50b27459ff3e251d5fd839a
Publikováno v:
Physical review letters : PRL 127(15), 158302 (2021). doi:10.1103/PhysRevLett.127.158302
Physical Review Letters
Physical Review Letters, American Physical Society, 2021, 127 (15), ⟨10.1103/physrevlett.127.158302⟩
Physical review letters 127(15), 158302 (2021). doi:10.1103/PhysRevLett.127.158302
Physical Review Letters
Physical Review Letters, American Physical Society, 2021, 127 (15), ⟨10.1103/physrevlett.127.158302⟩
Physical review letters 127(15), 158302 (2021). doi:10.1103/PhysRevLett.127.158302
We here unify the field theoretical approach to neuronal networks with large deviations theory. For a prototypical random recurrent network model with continuous-valued units, we show that the effective action is identical to the rate function and de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cc7e187d9d3fc1ffba9240aa90428d97
Autor:
Benjamin Lindner, Alexander van Meegen
Publikováno v:
Physical review letters. 121(25)
We study a network of unidirectionally coupled rotators with independent identically distributed (i.i.d.) frequencies and i.i.d. coupling coefficients. Similar to biological networks, this system can attain an asynchronous state with pronounced tempo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cf8cd58c78b4976408518e4d721b291a
https://pubmed.ncbi.nlm.nih.gov/30608814
https://pubmed.ncbi.nlm.nih.gov/30608814