Theorie komplexer Systeme und Neurophysik


In diesem Projekt werden Techniken zur Analyse komplexer neuronaler Systeme entwickelt. Ein Schwerpunkt des Projekts liegt darin zu erforschen wie Eigenschaften von neuronalen Elementen, wie Synapsen oder Neuronen, die Eigenschaften von gewachsenen, komplexen neuronalen Systemen, wie das Gehirn, beeinflussen.


Projektleitung
Lindner, Benjamin Prof. Dr. (Details) (Theoretische Physik (Theorie komplexer Systeme und Neurophysik))

Laufzeit
Projektstart: 05/2011
Projektende: 10/2016

Publikationen
2012
K. Fisch, T. Schwalger, B. Lindner, A. V. M. Herz, and J. Benda Channel noise from both slow adaptation currents and fast currents is required to explain spike-response variability in a sensory neuron J. Neurosci. 32 , 17332 (2012)
T. Schwalger, J. Tiana-Alsina, M. C. Torrent, J. Garcia-Ojalvo, and B. Lindner Interspike-interval correlations induced by two-state switching in an excitable system Eur. Phys. Lett. 99 , 10004 (2012)
K. Dierkes, F. Jülicher, and B. Lindner A mean-field approach to elastically coupled hair bundles Eur. Phys. J. E 35 , 37 (2012)
P.S. Burada and B. Lindner Escape rate of an active Brownian particle over a potential barrier Phys. Rev. E 85 022102 (2012)

2013
C. Bauermeister, T. Schwalger, D.F. Russell, A.B. Neiman, and B. Lindner Characteristic Effects of Stochastic Oscillatory Forcing on Neural Firing Statistics: Analytical Theory and Application to Paddlefish Electroreceptor Afferents PLoS Computational Biology 9 , 1003170 (2013)
T. Schwalger, D. Miklodi and B. Lindner When the leak is weak - how the first-passage statistics of a biased random walk can approximate the ISI statistics of an adapting neuron Eur. Phys. J. Spec. Topics 222 , 2655 (2013)

2014
A. Vüllings, E. Schöll, and B. Lindner Spectra of delay-coupled heterogeneous noisy nonlinear oscillators Eur.Phys. J. B 87 , 31 (2014)
F. Fruth, F. Jülicher, and B. Lindner An active oscillator model describes the statistics of spontaneous otoacoustic emissions Biophys. J.107, 815 (2014)
J. Kromer, R. D. Pinto, B. Lindner and L. Schimansky-Geier Noise-controlled metastability in an excitable system with positive feedback EPL 108 , 20007 (2014)
J. A. Kromer, B. Lindner, and L. Schimansky-Geier Event-triggered feedback in noise-driven phase oscillators Phys. Rev. E 89 , 032138 (2014)

2015
S. Wieland, D. Bernardi, T. Schwalger, and B. Lindner Slow fluctuations in recurrent networks of spiking neurons Phys. Rev. E 92 040901(R) (2015)
T. Schwalger and B. Lindner Analytical approach to an integrate-and-fire model with spike-triggered adaptation Phys. Rev. E 92 , 062703 (2015)
T. Schwalger, F. Droste, and B. Lindner Statistical structure of neural spiking under non-Poissonian or other non-white stimulation J. Comp. Neurosci. 39 , 29 (2015)
S. Blankenburg, W. Wu, B. Lindner, and S. Schreiber Information filtering in resonant neurons J. Comput. Neurosci. 39 , 349 (2015)
A. Kruscha and B. Lindner Spike count distribution in a neural population under weak common stimulation Phys. Rev. E 92 , 052817 (2015)
R. M. Amro, B. Lindner, and A. B. Neiman Phase diffusion in unequally noisy coupled oscillators Phys. Rev. Lett. 115 , 034101 (2015)
F. Müller-Hansen, F. Droste, and B. Lindner Statistics of a neuron model driven by asymmetric colored noise Phys. Rev. E 91 , 022718 (2015)
P. J. Thomas and B. Lindner Reply Phys. Rev. Lett. 115 , 069402 (2015) to the comment by A. Pikovsky to our article in PRL (2014) [see also previous versions of comment and reply on the arXiv]
S. Voronenko, W. Stannat, and B. Lindner Shifting Spike Times or Adding and Deleting Spikes - How Different Types of Noise Shape Signal Transmission in Neural Populations J. Math. Neurosci. 5 ,1 (2015)

2016
A. Kruscha and B. Lindner Partial synchronous output of a neuronal population under weak common noise: analytical approaches to the correlation statistics Phys. Rev. E 94 , 022422 (2016)
B. Lindner Mechanisms of information filtering in neural systems IEEE Transactions on Molecular, Biological, and Multi-Scale Communications 2 5 (2016)

2017
S. Voronenko and B. Lindner Nonlinear response of noisy neurons New J. Phys. 19 033038 (2017)
J. Giner-Baldo, P. J. Thomas, and B. Lindner Power spectrum of a noisy system close to a heteroclinic orbit J. Stat. Phys. 168 , 447 (2017)
D. Bernardi and B. Lindner Optimal detection of a localized perturbation in random networks of integrate-and-fire neurons Phys. Rev. Lett. 118 , 268301 (2017)
F. Droste and B. Lindner Up-down-like background spiking can enhance neural information transmission eNeuro 4 , e0282-17 (2017)
F. Droste and B. Lindner Exact analytical results for integrate-and-fire neurons driven by excitatory shot noise J. Comp. Neurosci. 43 , 81 (2017)
J. Grewe, A. Kruscha, B. Lindner, and J. Benda Synchronous spikes are necessary but not sufficient for a synchrony Code PNAS 114 E1977 (2017)

2018
S. O. Voronenko and B. Lindner Improved lower bound for the mutual information between signal and neural spike count Biol. Cyb. 112 523 (2018)

Zuletzt aktualisiert 2020-10-12 um 16:24