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     Journal Articles

2025

1. A. Neiman, X. Dong and B. Lindner Metastability in the mixing/demixing of two species with reciprocally concentration-dependent diffusivity. Front. Netw. Physiol. (accepted, 2025)
2. K. Klett and B. Lindner Fluctuation-response relations and response-response relations for membrane voltage and spike train of stochastic integrate-and-fire neurons. Phys. Rev. E (accepted, 2025)
3. M. Kreider, B. Lindner, P. J. Thomas Q-functions, synchronization, and Arnold tongues for coupled stochastic oscillators. Chaos 35, 073150 (2025); see also preprint on the arxiv
4. Y. Kati, R. Toenjes, and B. Lindner Effects of inertia on the asynchronous state of a disordered Kuramoto model. Phys. Rev. E (accepted, 2025)
5. E. T. Phillips, B. Lindner, and H. Kantz Stabilizing role of multiplicative noise in non-confining potentials. Phys. Rev. Res. 7, 033052 (2025); see also the preprint on the arxiv
6. P. Houzelstein, P. J. Thomas, B. Lindner, B. Gutkin, and A. Perez-Cervera Generalized dynamical phase reduction for stochastic oscillators. Phys. Rev. Res. 7, 033052 (2025)
7. M. Schlungbaum, A. Barayeu, J. Grewe, J. Benda, and B. Lindner, Effect of burst spikes on linear and nonlinear signal transmission in spiking neurons, J. Comp. Neurosci. 53, 37 (2025)
8. L. Kiessling and B. Lindner Extraction of parameters of a stochastic integrate-and-fire model with adaptation from voltage recordings, Biol. Cybern. 119, 2 (2025) see also preprint on the arxiv

2024

9. J. Stubenrauch and B. Lindner Furutsu-Novikov-like cross-correlation-response relations for systems driven by shot noise, Phys. Rev. X 14, 041047 (2024)
10. Y. Kati, J. Ranft and B. Lindner Self-consistent autocorrelation of a disordered Kuramoto model in the asynchronous state, Phys. Rev. E 110 , 054301 (2024) see also preprint on the arxiv
11. D. Boriskovsky, B. Lindner, and Y. Roichman The fluctuation-dissipation relation holds for a macroscopic tracer in an active bath , Soft Matter 20, 8017 (2024), see also preprint on the arxiv
12. L. Ramlow and B. Lindner The noise intensity of a Markov chain , Phys. Rev. E 110 , 014139 (2024), see also preprint on the arxiv
13. N. Schieferstein, T. Schwalger, B. Lindner, and R. Kempter Intra-ripple frequency accommodation in an inhibitory network model for hippocampal ripple oscillations PLoS Comput. Biol. 20, e1011886 (2024), see also preprint on the arxiv
14. F. Puttkammer and B. Lindner Fluctuation-response relations for integrate-and-fire models with an absolute refractory period Biol. Cyb. 118, 7 (2024)

2023

15. L. Ramlow. M. Falcke, and B. Lindner An integrate-and-fire approach to Calcium signaling. Part II: Cumulative refractoriness Biophys. J. 122 , 4710 (2023)
16. M. Schlungbaum and B. Lindner Detecting a periodic signal by a population of spiking neurons in the weakly nonlinear response regime Eur. Phys. J. E, 46 , 108 (2023)
17. A. Perez-Cervera, B. Gutkin, P. J. Thomas, and B. Lindner A Universal Description of Stochastic Oscillators PNAS, 120 , e2303222120 (2023); see also supplemental material
18. K. Engbring, D. Boriskovsky, Y. Roichman, and B. Lindner A nonlinear fluctuation-dissipation test for Markovian systems Phys. Rev. X 13 , 021034 (2023)
19. V. N. Friedhoff, B. Lindner and M. Falcke Modeling IP 3 induced Ca2+ signaling based on its interspike interval statistics Biophys. J. 122 , 2818 (2023)
20. J. Ranft and B. Lindner Theory of the asynchronous state of structured rotator networks and its application to recurrent networks of excitatory and inhibitory units 107, 044306 Phys. Rev. E (2023)
21. M. Su and B. Lindner Active Brownian particles in a biased periodic potential. 46, 22 EPJE (2023)
22. M. Su, D. Bernardi, and B. Lindner Pursuit problem with a stochastic prey that sees its chasers New J. Phys. 25, 023033 (2023)
23. L. Ramlow. M. Falcke, and B. Lindner An integrate-and-fire approach to Calcium signaling. Part I: Renewal model Biophys. J. 122, 713 (2023)
24. J. Franzen, L. Ramlow, and B. Lindner The steady state and response to a periodic stimulation of the firing rate for a theta neuron with correlated noise. J. Comp. Neurosci. 51 107 (2023)

2022

25. B. Lindner Fluctuation-dissipation relations for spiking neurons. Phys. Rev. Lett. 129, 198101 (2022)
26. J. Ranft and B. Lindner A self-consistent analytical theory for rotator networks under stochastic forcing: effects of intrinsic noise and common input. Chaos 32 063131 (2022)
27. G. Knoll and B. Lindner Information Transmission in Recurrent Networks: Consequences of network noise for synchronous and asynchronous signal encoding Phys. Rev. E 105 044411 (2022)
28. A. Perez-Cervera, B. Lindner, and P. Thomas Quantitative comparison of the mean-return-time phase and the stochastic asymptotic phase for noisy oscillators. Biol. Cybern. 116 219 (2022)
29. K. Holzhausen, P. J. Thomas, and B. Lindner Analytical approach to the mean-return-time-phase of isotropic stochastic oscillators Phys. Rev. E 105 024202 Phys. Rev. E (2022) [see also https://arxiv.org/abs/2108.07240]
30. K. Holzhausen, L. Ramlow, S. Pu, P. J. Thomas, and B. Lindner Mean-return-time phase of a stochastic oscillator provides an approximate renewal description for the associated point process. Biol. Cybern. 116 235 (2022)
31. R. Kullmann, G. Knoll, D. Bernardi and B. Lindner Critical current for giant Fano factor in neural models with bistable firing dynamics and implications for signal transmission. Phys. Rev. E 105 014416 (2022)
32. D. Bernardi and B. Lindner Run with the Brownian Hare, Hunt with the Deterministic Hounds Phys. Rev. Lett. 128 040601 (2022) [see also the synopsis on our paper]

2021

33. A. Perez-Cervera, B. Lindner, and P. Thomas Isostables for stochastic oscillators Phys. Rev. Lett. 127 254101 (2021)
34. L. Ramlow and B. Lindner Interspike interval correlations in neuron models with adaptation and correlated noise PLoS Comp. Biol. 17 e1009261 (2021)
35. S. Vellmer and B. Lindner Fokker-Planck approach to neural networks and to decision problems - A unique method for stochastic models in computational and cognitive neuroscience EPJST 30 2929 (2021)
36. V. N. Friedhoff, L. Ramlow, B. Lindner, and M. Falcke Models of stochastic Ca spiking - Established approaches and inspirations from models of neuronal spikes EPJST 230 2911 (2021)
37. G. Knoll and B. Lindner Recurrence-mediated Suprathreshold Stochastic Resonance J. Comp. Neurosci. 49, 407 (2021)
38. L. Schimansky-Geier B. Lindner, S. Milster, and A. B. Neiman Demixing of two species via reciprocally concentration-dependent diffusivity Phys. Rev. E 103 022113 (2021)
39. D. Bernardi, G. Doron, M. Brecht, and B. Lindner A network model of the barrel cortex combined with a differentiator detector reproduces features of the behavioral response to single-neuron stimulation PLoS Computational Biology 17 e1007831 (2021)
40. G. N. Farah and B. Lindner Exponentially distributed noise - its correlation function and its effect on nonlinear dynamics J. Phys. A: Math. Theor. 54 035003 (2021)

2020

41. B. Karamched, M. Stickler, W. Ott, B. Lindner, Z. P. Kilpatrick, and K. Josic Heterogeneity improves speed and accuracy in social networks Phys. Rev. Lett. 125, 218302 (2020)
42. S. Vellmer and B. Lindner Decision-time statistics of nonlinear diffusion models: Characterizing long sequences of subsequent trials. J. Math. Psychol. 99, 102445 (2020)
43. Z. Bostner, G. Knoll, and B. Lindner Information filtering by coincidence detection of synchronous population output: Analytical approaches to the coherence function of a two-stage neural system Biol. Cybern. 114, 403 (2020)
44. D. Bernardi and B. Lindner Receiver operating characteristic curves for a simple stochastic process that carries a static signal Phys. Rev. E 101, 062132 (2020)
45. R. Betkiewicz, B. Lindner, and M.P. Nawrot Circuit and cellular mechanisms facilitate the transformation from dense to sparse coding in the insect olfactory system eNeuro 7, 0305-18 (2020)
46. A. Cao, B. Lindner, and P. Thomas A partial differential equation for the mean---first--return-time phase of planar stochastic oscillators. SIAM J. App. Math. 80, 422 (2020)

2019

47. S. Vellmer and B. Lindner Theory of spike-train power spectra for multidimensional integrate-and-fire models. Phys. Rev. Research 1 ,023024 (2019)
48. P. Thomas and B. Lindner Phase descriptions of a multidimensional Ornstein-Uhlenbeck process. Phys. Rev. E 99 ,062221 (2019)
49. D. Bernardi and B. Lindner Detecting single-cell stimulation in a large network of integrate-and-fire neurons. Phys. Rev. E 99 , 032304 (2019)
50. M. Kähne, S. Rüdiger and B. Lindner Gap junctions set the speed and nucleation rate of stage I retinal waves. PLoS Comp. Biol. 15 , e1006355 (2019)
51. J. Bauermann and B. Lindner Multiplicative noise is beneficial for the transmission of sensory signals in simple neuron models. Biosystems 178, 25 (2019)

2018

52. A. van Meegen and B. Lindner Self-consistent correlations of randomly coupled rotators in the asynchronous state   Phys. Rev. Lett. 121, 258302 (2018) [more details in the supplemental material ]
53. S. O. Voronenko and B. Lindner Improved lower bound for the mutual information between signal and neural spike count   Biol. Cybern. 112 523 (2018)
54. R. F.O. Pena, S. Vellmer, D. Bernardi, A. C. Roque and B. Lindner Self-consistent scheme for spike-train power spectra in heterogeneous sparse networks   Front. Comput. Neurosci. 12 , 9 (2018)

2017

55. M. Beiran, A. Kruscha, J. Benda and B. Lindner Coding of time-dependent stimuli in homogeneous and heterogeneous neural populations   J. Comp. Neurosci. 44 , 189 (2017)
56. F. Droste and B. Lindner Up-down-like background spiking can enhance neural information transmission   eNeuro 4 , e0282-17 (2017)
57. J. Doose and B. Lindner Evoking prescribed spike times in stochastic neurons   Phys. Rev. E 36 , 032109 (2017)
58. L. Willareth, I. M. Sokolov, Y. Roichman and B. Lindner Generalized fluctuation-dissipation theorem as a test of the Markovianity of a system   EPL 118 , 20001 (2017)
59. 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)
60. 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)
61. F. Droste and B. Lindner Exact analytical results for integrate-and-fire neurons driven by excitatory shot noise   J. Comp. Neurosci. 43 , 81 (2017)
62. F. Droste and B. Lindner Exact results for power spectrum and susceptibility of a leaky integrate-and-fire neuron with two-state noise   Phys. Rev. E 95 012411 (2017)
63. S. Voronenko and B. Lindner Nonlinear response of noisy neurons   New J. Phys. 19 033038 (2017)
64. J. Grewe, A. Kruscha, B. Lindner, and J. Benda Synchronous spikes are necessary but not sufficient for a synchrony Code   PNAS 114 E1977 (2017)

2016

65. B. Lindner Mechanisms of information filtering in neural systems IEEE Transactions on Molecular, Biological, and Multi-Scale Communications 2 5 (2016)
66. J. Doose, G. Doron, M. Brecht, and B. Lindner Noisy juxtacellular stimulation in vivo leads to reliable spiking and reveals high-frequency coding in single neurons   J. Neurosci. 36 11120 (2016)
67. 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)
68. B. Lindner and I. M. Sokolov Giant diffusion of underdamped particles in a biased periodic potential   Phys. Rev. E 93 , 042106 (2016)
69. S. Blankenburg and B. Lindner The effect of positive interspike interval correlations on neuronal information transmission   Math. Biosci. Eng. 13 , 461 (2016)

2015

70. T. Schwalger and B. Lindner Analytical approach to an integrate-and-fire model with spike-triggered adaptation   Phys. Rev. E 92 , 062703 (2015)
71. A. Kruscha and B. Lindner Spike count distribution in a neural population under weak common stimulation   Phys. Rev. E 92 , 052817 (2015)
72. S. Blankenburg, W. Wu, B. Lindner, and S. Schreiber Information filtering in resonant neurons   J. Comput. Neurosci. 39 , 349 (2015)
73. S. Wieland, D. Bernardi, T. Schwalger, and B. Lindner Slow fluctuations in recurrent networks of spiking neurons  Phys. Rev. E 92 040901(R) (2015)
74. M. Götz, K. F. Hodeck, P. Witzel, A. Nandi, B. Lindner, and D. Heinrich Probing Cytoskeleton Dynamics by Intracellular Particle Transport Analysis   Eur. J. Phys. Spec. Top. 224 , 1169 (2015)
75. R. M. Amro, B. Lindner, and A. B. Neiman Phase diffusion in unequally noisy coupled oscillators   Phys. Rev. Lett. 115 , 034101 (2015)
76. 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)
77. L. Shiau, T. Schwalger, and B. Lindner Interspike interval correlation in a stochastic exponential integrate-and-fire model with subthreshold and spike-triggered adaptation   J. Comp. Neurosci. 38 589 (2015)
78. F. Müller-Hansen, F. Droste, and B. Lindner Statistics of a neuron model driven by asymmetric colored noise Phys. Rev. E 91 , 022718 (2015)÷÷÷÷÷
79. 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)
80. D. Bernardi and B. Lindner A Frequency-Resolved Mutual Information Rate and its Application to Neural Systems J. Neurophysiol. 113 , 1342 (2015)
81. 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]

2014

82. P. J. Thomas and B. Lindner Asymptotic Phase for Stochastic Oscillators  Phys. Rev. Lett. 113 , 254101 (2014)
83. 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)
84. B. Dummer, S. Wieland, and B. Lindner Self-consistent determination of the spike-train power spectrum in a neural network with sparse connectivity   Front. Comp. Neurosci. 8 , 104 (2014)
85. F. Fruth, F. Jülicher, and B. Lindner An active oscillator model describes the statistics of spontaneous otoacoustic emissions   Biophys. J.107, 815 (2014)
86. F. Droste and B. Lindner Integrate-and-fire neurons driven by asymmetric dichotomous noise     Biol. Cybern. 108 , 825 (2014)
87. J. A. Kromer, B. Lindner, and L. Schimansky-Geier Event-triggered feedback in noise-driven phase oscillators     Phys. Rev. E 89 , 032138 (2014)
88. A. Vüllings, E. Schöll, and B. Lindner Spectra of delay-coupled heterogeneous noisy nonlinear oscillators   Eur.Phys. J. B 87 , 31 (2014)

2013

89. T. Schwalger and B. Lindner Patterns of interval correlations in neural oscillators with adaptation Front. Comp. Neurosci. 7 , 164 (2013)
90. F. Droste, T. Schwalger, and B. Lindner Interplay of two signals in a neuron with short-term synaptic plasticity Front. Comp. Neurosci. 7 , 86 (2013)
91. 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)
92. 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)
93. N. Sharafi, J. Benda, and B. Lindner Information filtering by synchronous spikes in a neural population J. Comp. Neurosci. 34 , 285 (2013) [see also Erratum: Information filtering by synchronous spikes in a neural population  information transfer, J. Comp. Neurosci. (2015)]

2012

94. I. Kalinina , A. Nandi, P. Delivani, M. R. Chacon, A. Klemm, D. Ramunno-Johnson, A. Krull, B. Lindner, N. Pavin, and I. M. Tolic-Norrelykke Pivoting of microtubules around the spindle pole accelerates kinetochore capture Nature Cell Biol. 15 , 82 (2012)
95. 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)
96. A. Nandi, D. Heinrich, and B. Lindner, Distributions of diffusion measures from a local mean-square displacement analysis Phys. Rev. E 86 , 021926 (2012)
97. 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)
98. K. Dierkes, F. Jülicher, and B. Lindner A mean-field approach to elastically coupled hair bundles   Eur. Phys. J. E 35 , 37 (2012)
99. P. Romanczuk, M. Bär, W. Ebeling, B. Lindner, and L. Schimansky-Geier Active Brownian Particles: From Individual to Collective Stochastic Dynamics Eur. Phys. J. Spec. Topics 202 , 1 (2012)
100. P.S. Burada and B. Lindner Escape rate of an active Brownian particle over a potential barrier Phys. Rev. E 85 022102 (2012)
101. M. Otten, A. Nandi, D. Arcizet, M. Gorelashvili, B. Lindner, and D. Heinrich ´´´´´Ã´ Local Motion Analysis Reveals Impact of the Dynamic Cytoskeleton on Intracellular Subdiffusion Biophys. J. 102 758 (2012)

2011

102. A. B. Neiman, K. Dierkes, B. Lindner, L. Han and A. L. Shilnikov Spontaneous voltage oscillations and response dynamics of a Hodgkin-Huxley type model of sensory hair cells J. Math. Neurosci. 1 11 (2011)
103. C. Touya, T. Schwalger, and B. Lindner Relation between models of cooperative molecular motors and active Brownian particles Phys. Rev. E 83 051913 (2011)

2010

104. T. Schwalger, K. Fisch, J. Benda, and B. Lindner How noisy adaptation of neurons shapes interspike interval histograms and correlations PLoS Comp. Biol. 6 , e1001026 (2010)
105. T. Schwalger and B. Lindner Theory for serial correlations of interevent intervals Eur. Phys. J. Spec. Topics 187 , 211 (2010)
106. B. Lindner Diffusion of particles subject to nonlinear friction and a colored noise New J. Phys. 12 , 063026 (2010)
107. M. Merkel and B. Lindner Synaptic filtering of rate-coded information Phys. Rev. E 81 , 041921 (2010)
108. J. Barral, K. Dierkes, B. Lindner, F. Jülicher and P. Martin Coupling a sensory hair-cell bundle to cyber clones enhances nonlinear amplification Proc. Natl. Acad. Sci. 107 , 10765 (2010)
109. A. Nandi and B. Lindner Intrinsic common noise in a system of two coupled Brusselators Chem. Phys. 375, 348 (2010)
110. K. Dierkes, B. Lindner, and F. Jülicher Coupled hair bundles could endow the cochlear amplifier with sharp frequency tuning and nonlinear compression [Part of the paper The remarkable cochlear amplifier by J. Ashmore et al. Hearing Research 266 , 1 (2010)]
111. L. Wolff and B. Lindner Mean, variance, and autocorrelation of subthreshold potential fluctuations driven by filtered conductance shot-noise Neural Comp. 22, 94 (2010)

2009

112. B. Lindner, K. Dierkes, and F. Jülicher Local exponents of nonlinear compression in periodically driven noisy oscillators Phys. Rev. Lett. 103, 250601 (2009)
114. F. Jülicher, K. Dierkes, B. Lindner, J. Prost, and P. Martin Spontaneous movements and linear response of a noisy oscillator Eur. Phys. J. E 29, 449 (2009)
115. B. Lindner Some unsolved problems relating to noise in biological systems ,  J. Stat. Mech. P01008 (2009)
116. R. D. Vilela and B. Lindner A comparative study of different integrate fire neurons: spontaneous activity, dynamical response, and stimulus-induced correlation Phys. Rev. E 80, 031909 (2009)
117. B. Lindner, D. Gangloff, A. Longtin, and J. E. Lewis Broadband coding with dynamic synapses J. Neurosci. 29, 2076 (2009)
118. R. D. Vilela and B. Lindner Are the input parameters of white-noise-driven integrate & fire neurons uniquely determined by rate and CV? J. Theor. Biol. 257, 90 (2009)

2008

119. B. Lindner and E. M. Nicola Critical asymmetry for giant  diffusion of active Brownian particles Phys. Rev. Lett. 101, 190603 (2008)
120. K. Dierkes, B. Lindner, and F. Jülicher Enhancement of sensitivity gain and frequency tuning  by coupling of active hair bundles Proc. Natl. Acad. Sci. 105, 18669 (2008)
121. T. Schwalger and B. Lindner  Higher-order statistics of a bistable system driven by dichotomous colored noise Phys. Rev. E 78, 021121 (2008)
122. L. Wolff and B. Lindner Method to calculate the moments of the membrane voltage in a model neuron driven by multiplicative filtered shot noise Phys. Rev. E 77, 041913 (2008)
123. B. Lindner and E. M. Nicola Diffusion in different models of active Brownian motion Eur. Phys. J. Special Topics 157, 43 (2008)
124. D. Clausznitzer, B. Lindner, P. Martin, and F. Jülicher  Two-state approach to stochastic hair bundle dynamics Phys. Rev. E 77, 041901 (2008)
125. B.Lindner  Diffusion coefficient of a Brownian particle with a friction function given by a power law  J. Stat. Phys. 130, 523 (2008)

2007

126. J. E. Lewis, B.Lindner, B. Laliberte, and S. Groothius   Control of neuronal firing by dynamic parallel fiber feedback: implications for electrosensory reafference suppression  J. Exp. Biol. 210, 4437 (2007)
127. M. J. Chacron, B. Lindner, and A. Longtin Threshold fatigue and information transfer J. Comp. Neurosci. 23 , 301 (2007)
128. B. Lindner and T. Schwalger Correlations in the Sequence of Residence Times Phys. Rev. Lett. 98 , 210603 (2007)
129. B. Lindner The diffusion coefficient of nonlinear Brownian motion New J. Phys. 9 , 136 (2007)

2006

130. B. Lindner Superposition of many independent spike trains is generally not a Poisson process Phys. Rev. E 73, 022901 (2006)
131. B. Lindner and A. Longtin Comment on:  Characterization of Subthreshold Voltage Fluctuations in Neuronal Membranes by M. Rudolph and A. Destexhe, Neural Comp. 18, 1896 (2006) see also q-bio.NC/0501038

2005

132. B. Lindner, B. Doiron, and A. Longtin Theory of oscillatory firing induced by spatially correlated noise and delayed feedback , Phys. Rev. E 72, 061919 (2005)
133. B. Lindner, M. J. Chacron, and A. Longtin Integrate-and-fire neurons with threshold noise: A tractable model of how interspike interval correlations affect neuronal signal transmission, Phys. Rev. E 72, 021911 (2005)
     
134. B. Lindner and A. Longtin Effect of an exponentially decaying threshold on the firing statistics of a stochastic integrate-and-fire neuron  J. Theor. Biol.  232, 505 (2005)

2004

135. B. Lindner Moments of the first passage time under weak external driving  J. Stat. Phys. 117, 703 (2004)
     
136. B. Doiron, B. Lindner, L.Mahler, A. Longtin, and J. Bastian Oscillatory activity in electrosensory neurons increases with the spatial correlation of the stochastic input stimulus.Phys. Rev. Lett. 93, 048101 (2004)
137. M. J. Chacron, B. Lindner,  and A. Longtin ISI correlations and information transfer. Fluct. Noise Lett. 4, L195 (2004)
138. M. J. Chacron, B. Lindner, and A. Longtin Noise shaping by interval correlations increases neuronal information transfer, Phys. Rev. Lett.  92, 080601 (2004)
     [see also: M. J. Chacron, B. Lindner, and A. Longtin Erratum: Noise shaping by interval correlations increases neuronal  information transfer, Phys. Rev. Lett.  93, 059904 (2004)]
139. B. Lindner Interspike interval statistics for neurons driven by colored noise, Phys. Rev. E 69, 022901 (2004)
140. B. Lindner, J. Garcia-Ojalvo, A. Neiman, and L. Schimansky-Geier Effects of noise in excitable systems, Phys. Rep. 392, 321 (2004)

2003

141. J. W. Middleton, M. J. Chacron, B. Lindner, and A. Longtin Firing statistics of a neuron model driven by long-range correlated noise,  Phys. Rev. E 68, 021920 (2003)
142. B. Lindner, A. Longtin, and A. Bulsara Analytic Expressions for rate and CV of a type I neuron driven by white Gaussian noise , Neural Comp.,  15, 1761 (2003)

2002

143. B. Lindner, L. Schimansky-Geier, and A. Longtin Maximizing spike train coherence or incoherence in the leaky integrate-and-fire neuron, Phys. Rev. E, 66,  031916 (2002)
144. B. Lindner and L. Schimansky-Geier Noise-induced transport with low randomness, Phys. Rev. Lett., 89,  230602 (2002)

2001

145. B. Lindner and L. Schimansky-Geier Transmission of noise coded versus additive signals through a neuronal ensemble, Phys. Rev. Lett., 86,  2934 (2001)
146. B. Lindner,  M. Kostur, and L. Schimansky-Geier Optimal diffusive transport in a tilted periodic potential, Fluctuation and  Noise Letters,  1,  R25 (2001)

before 2001

147. B. Lindner and  L. Schimansky-Geier Coherence and stochastic resonance in a two-state system   Phys. Rev. E, 61, 6103 (2000)
148. B. Lindner and L. Schimansky-Geier Analytical Approach to the Stochastic FitzHugh-Nagumo system and coherence resonance   Phys. Rev. E, 60, 7270 (1999)
149. B. Lindner, L. Schimansky-Geier, P. Reimann, P. Hänggi, and M. Nagaoka Inertia ratchets: A numerical study versus theory Phys. Rev. E, 59, 1417 (1999)
150. R. Bartussek , P. Hänggi, B. Lindner, and L. Schimansky-Geier Ratchets Driven by Harmonic and White Noise Physica D, 109, 17 (1997)