Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Jens Wilting"'
Publikováno v:
PLoS Computational Biology, Vol 17, Iss 3, p e1008773 (2021)
Epileptic seizures are characterized by abnormal and excessive neural activity, where cortical network dynamics seem to become unstable. However, most of the time, during seizure-free periods, cortex of epilepsy patients shows perfectly stable dynami
Externí odkaz:
https://doaj.org/article/beead898fe0a485eb283734279318562
Autor:
Jens Wilting, Viola Priesemann
Publikováno v:
Nature Communications, Vol 9, Iss 1, Pp 1-7 (2018)
From infectious diseases to brain activity, complex systems can be approximated using autoregressive models. Here, the authors show that incomplete sampling can bias estimates of the stability of such systems, and introduce a novel, unbiased metric f
Externí odkaz:
https://doaj.org/article/82ce44a5b8ed4fe98882d364db6aa974
Publikováno v:
Physical Review Research, Vol 2, Iss 1, p 013115 (2020)
The capability of a living organism to process stimuli with nontrivial intensity distributions cannot be explained by the proficiency of a single neural network. Moreover, it is not sufficient to maximize the dynamic range of the neural response; it
Externí odkaz:
https://doaj.org/article/597c7c36d3d44363ad591ea980589595
Autor:
Jens Wilting, Jonas Dehning, Joao Pinheiro Neto, Lucas Rudelt, Michael Wibral, Johannes Zierenberg, Viola Priesemann
Publikováno v:
Frontiers in Systems Neuroscience, Vol 12 (2018)
Neural circuits are able to perform computations under very diverse conditions and requirements. The required computations impose clear constraints on their fine-tuning: a rapid and maximally informative response to stimuli in general requires decorr
Externí odkaz:
https://doaj.org/article/745031adbcf6482b9a71d825a8d0aba1
Publikováno v:
Physical Review X, Vol 8, Iss 3, p 031018 (2018)
In vitro and in vivo spiking activity clearly differ. Whereas networks in vitro develop strong bursts separated by periods of very little spiking activity, in vivo cortical networks show continuous activity. This is puzzling considering that both net
Externí odkaz:
https://doaj.org/article/8e29fe768ba549b6a7479bd12681fb6b
Autor:
Viola Priesemann, Jens Wilting
Publikováno v:
Cerebral Cortex (New York, NY)
Knowledge about the collective dynamics of cortical spiking is very informative about the underlying coding principles. However, even most basic properties are not known with certainty, because their assessment is hampered by spatial subsampling, i.e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::230a03d7b274314fa00b841aabb0fe65
https://doi.org/10.1093/cercor/bhz049
https://doi.org/10.1093/cercor/bhz049
Publikováno v:
Physical Review Research
The dynamic range of stimulus processing in living organisms is much larger than a single neural network can explain. For a generic, tunable spiking network we derive that while the dynamic range is maximal at criticality, the interval of discriminab
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5a8bfd0525671e151cf0be336c6519de
https://hdl.handle.net/21.11116/0000-0004-B5DE-6
https://hdl.handle.net/21.11116/0000-0004-B5DE-6
Autor:
Johannes Zierenberg, Jonas Dehning, Viola Priesemann, Jens Wilting, Annika Hagemann, Franz Paul Spitzner, Joao Pinheiro Neto
Publikováno v:
PLoS ONE, Vol 16, Iss 4, p e0249447 (2021)
PLoS ONE
PLoS ONE
Here we present our Python toolbox “MR. Estimator” to reliably estimate the intrinsic timescale from electrophysiologal recordings of heavily subsampled systems. Originally intended for the analysis of time series from neuronal spiking activity,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2236417854507d380a9c69510a614f3e
Publikováno v:
Physical review. E. 102(4-1)
Many systems with propagation dynamics, such as spike propagation in neural networks and spreading of infectious diseases, can be approximated by autoregressive models. The estimation of model parameters can be complicated by the experimental limitat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1d8b64172b94625ca85ac647ed551f7b
https://pubmed.ncbi.nlm.nih.gov/33212575
https://pubmed.ncbi.nlm.nih.gov/33212575
Publikováno v:
Physical Review E
Spreading processes are conventionally monitored on a macroscopic level by counting the number of incidences over time. The spreading process can then be modeled either on the microscopic level, assuming an underlying interaction network, or directly
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::46bffde335530ab37b40f4aefe405e21
http://arxiv.org/abs/1905.10402
http://arxiv.org/abs/1905.10402