Apl. Prof. Dr. Gaby Schneider
Institut für Mathematik
Fachbereich Informatik und Mathematik
Angewandte Mathematische Statistik
Robert-Mayer-Str. 10
60325 Frankfurt
Tel +49 69 798 23927
Fax +49 69 798 28841
E-Mail: schneider@math.uni-frankfurt.de
Scientific Focus
My research focuses on the development of stochastic models and statistical analysis methods for the description and analysis of temporal coordination within individual spike trains and between parallel neuronal recordings. Therefore, I combine (1) theoretical statistical treatment of point processes (e.g. multi-scale change point analysis), (2) stochastic description of relevant firing patterns in empirically observed processes, such as bursts or oscillatory behavior, and (3) statistical analysis of correlations, synchronous oscillation or phase-relations (using e.g. specific Cox processes).
Methods
Selected Publications
Gärtner M., Duvarci S., Roeper J., Schneider G. (2017) Detecting joint pausiness in parallel spike trains. Journal of Neuroscience Methods 285: pp. 69-81.
Albert S., Messer M., Schiemann J., Roeper J., Schneider G. (2017) Multi-scale detection of variance changes in renewal processes in the presence of rate change points. Journal of Time Series Analysis (accepted)
Messer M., Costa K.M., Roeper J., Schneider G. (2017) Multi-scale detection of rate changes in spike trains with weak dependencies. Journal of Computational Neuroscience. 42: pp. 187-201 The final publication is available at http://link.springer.com
Gärtner M., Brodbeck V., Laufs H. & Schneider G. (2015): A stochastic model for EEG microstate sequence analysis. Neuroimage 104: 199-208.
Krabbe S., Duda J., Schiemann J., Poetschke C., Schneider G., Kandel E.R., Liss B., Roeper J., Simpson E.H. (2015): Increased Dopamine D2 Receptor Activity in the Striatum Alters the Firing Pattern of Dopamine Neurons in the Ventral Tegmental Area. PNAS, doi: 10.1073/pnas.1500450112
Messer M., Kirchner M., Schiemann J., Roeper J., Neininger R. & Schneider G. (2014): A multiple filter test for change point detection in renewal processes with varying variance. Annals of Applied Statistics Vol. 8 (4): pp. 2027-2067
Schiemann J., Klose V., Schlaudraff F., Bingmer M., Seino S., Magill P. J., Schneider G., Liss B. & Roeper J. (2012): K-ATP channels control in vivo burst firing of dopamine neurons in the medial substantia nigra and novelty-induced behavior. Nature Neuroscience 15:1272-80
Bingmer M., Schiemann J., Roeper J. & Schneider G. (2011): Measuring burstiness and regularity in oscillatory spike trains. Journal of Neuroscience Methods Vol. 201: 426-437
Schneider G. (2008): Messages of oscillatory correlograms – a spike train model. Neural Computation, Vol. 20 (5), pp. 1211-1238