Gaby Schneider
Affiliations: | Goethe-Universität Frankfurt am Main, Frankfurt am Main, Hessen, Germany |
Website:
http://ismi.math.uni-frankfurt.de/schneider/Google:
"Gaby Schneider"Mean distance: 106866 (cluster 17)
Cross-listing: MathTree
Collaborators
Sign in to add collaboratorDanko Nikolic | collaborator | MPI for Brain Research | |
Jochen Roeper | collaborator | Goethe-Universität Frankfurt |
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Publications
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Straub B, Schneider G. (2020) A Model for the Study of the Increase in Stimulus and Change Point Detection with Small and Variable Spiking Delays. Neural Computation. 1-45 |
Farassat N, Costa KM, Stovanovic S, et al. (2019) In vivo functional diversity of midbrain dopamine neurons within identified axonal projections. Elife. 8 |
Farassat N, Costa KM, Stojanovic S, et al. (2019) Author response: In vivo functional diversity of midbrain dopamine neurons within identified axonal projections Elife |
Duvarci S, Simpson EH, Schneider G, et al. (2018) Impaired recruitment of dopamine neurons during working memory in mice with striatal D2 receptor overexpression. Nature Communications. 9: 2822 |
Messer M, Albert S, Schneider G. (2018) The multiple filter test for change point detection in time series Metrika. 81: 589-607 |
Albert S, Schmack K, Sterzer P, et al. (2017) A hierarchical stochastic model for bistable perception. Plos Computational Biology. 13: e1005856 |
Gärtner M, Duvarci S, Roeper J, et al. (2017) Detecting joint pausiness in parallel spike trains. Journal of Neuroscience Methods |
Newton AJH, Seidenstein AH, McDougal RA, et al. (2017) 26th Annual Computational Neuroscience Meeting (CNS*2017): Part 3 Bmc Neuroscience. 18 |
Albert S, Messer M, Schiemann J, et al. (2017) Multi-Scale Detection of Variance Changes in Renewal Processes in the Presence of Rate Change Points Journal of Time Series Analysis. 38: 1028-1052 |
Messer M, Costa KM, Roeper J, et al. (2016) Multi-scale detection of rate changes in spike trains with weak dependencies. Journal of Computational Neuroscience |