| Year |
Citation |
Score |
| 2024 |
Schieferstein N, Schwalger T, Lindner B, Kempter R. Intra-ripple frequency accommodation in an inhibitory network model for hippocampal ripple oscillations. Plos Computational Biology. 20: e1011886. PMID 38377147 DOI: 10.1371/journal.pcbi.1011886 |
0.7 |
|
| 2024 |
Puttkammer F, Lindner B. Fluctuation-response relations for integrate-and-fire models with an absolute refractory period. Biological Cybernetics. PMID 38261004 DOI: 10.1007/s00422-023-00982-9 |
0.314 |
|
| 2022 |
Lindner B. Fluctuation-Dissipation Relations for Spiking Neurons. Physical Review Letters. 129: 198101. PMID 36399734 DOI: 10.1103/PhysRevLett.129.198101 |
0.424 |
|
| 2022 |
Franzen J, Ramlow L, Lindner B. The steady state and response to a periodic stimulation of the firing rate for a theta neuron with correlated noise. Journal of Computational Neuroscience. PMID 36273087 DOI: 10.1007/s10827-022-00836-6 |
0.415 |
|
| 2022 |
Kullmann R, Knoll G, Bernardi D, Lindner B. Critical current for giant Fano factor in neural models with bistable firing dynamics and implications for signal transmission. Physical Review. E. 105: 014416. PMID 35193262 DOI: 10.1103/PhysRevE.105.014416 |
0.353 |
|
| 2022 |
Holzhausen K, Ramlow L, Pu S, Thomas PJ, Lindner B. Mean-return-time phase of a stochastic oscillator provides an approximate renewal description for the associated point process. Biological Cybernetics. PMID 35166932 DOI: 10.1007/s00422-022-00920-1 |
0.398 |
|
| 2021 |
Ramlow L, Lindner B. Interspike interval correlations in neuron models with adaptation and correlated noise. Plos Computational Biology. 17: e1009261. PMID 34449771 DOI: 10.1371/journal.pcbi.1009261 |
0.45 |
|
| 2021 |
Knoll G, Lindner B. Recurrence-mediated suprathreshold stochastic resonance. Journal of Computational Neuroscience. PMID 34003421 DOI: 10.1007/s10827-021-00788-3 |
0.336 |
|
| 2021 |
Schimansky-Geier L, Lindner B, Milster S, Neiman AB. Demixing of two species via reciprocally concentration-dependent diffusivity. Physical Review. E. 103: 022113. PMID 33736075 DOI: 10.1103/PhysRevE.103.022113 |
0.507 |
|
| 2020 |
Bernardi D, Lindner B. Receiver operating characteristic curves for a simple stochastic process that carries a static signal. Physical Review. E. 101: 062132. PMID 32688497 DOI: 10.1103/Physreve.101.062132 |
0.406 |
|
| 2020 |
Bostner Ž, Knoll G, Lindner B. Information filtering by coincidence detection of synchronous population output: analytical approaches to the coherence function of a two-stage neural system. Biological Cybernetics. PMID 32583370 DOI: 10.1007/S00422-020-00838-6 |
0.45 |
|
| 2019 |
Kähne M, Rüdiger S, Kihara AH, Lindner B. Gap junctions set the speed and nucleation rate of stage I retinal waves. Plos Computational Biology. 15: e1006355. PMID 31034472 DOI: 10.1371/Journal.Pcbi.1006355 |
0.336 |
|
| 2019 |
Bernardi D, Lindner B. Detecting single-cell stimulation in a large network of integrate-and-fire neurons. Physical Review. E. 99: 032304. PMID 30999410 DOI: 10.1103/Physreve.99.032304 |
0.391 |
|
| 2019 |
Bauermann J, Lindner B. Multiplicative noise is beneficial for the transmission of sensory signals in simple neuron models. Bio Systems. PMID 30735693 DOI: 10.1016/J.Biosystems.2019.02.002 |
0.496 |
|
| 2018 |
van Meegen A, Lindner B. Self-Consistent Correlations of Randomly Coupled Rotators in the Asynchronous State. Physical Review Letters. 121: 258302. PMID 30608814 DOI: 10.1103/Physrevlett.121.258302 |
0.342 |
|
| 2018 |
Voronenko SO, Lindner B. Improved lower bound for the mutual information between signal and neural spike count. Biological Cybernetics. PMID 30155699 DOI: 10.1007/S00422-018-0779-5 |
0.44 |
|
| 2018 |
Pena RFO, Vellmer S, Bernardi D, Roque AC, Lindner B. Self-Consistent Scheme for Spike-Train Power Spectra in Heterogeneous Sparse Networks. Frontiers in Computational Neuroscience. 12: 9. PMID 29551968 DOI: 10.3389/Fncom.2018.00009 |
0.458 |
|
| 2017 |
Doose J, Lindner B. Evoking prescribed spike times in stochastic neurons. Physical Review. E. 96: 032109. PMID 29346970 DOI: 10.1103/Physreve.96.032109 |
0.465 |
|
| 2017 |
Beiran M, Kruscha A, Benda J, Lindner B. Coding of time-dependent stimuli in homogeneous and heterogeneous neural populations. Journal of Computational Neuroscience. PMID 29222729 DOI: 10.1007/S10827-017-0674-4 |
0.49 |
|
| 2017 |
Bernardi D, Lindner B. Optimal Detection of a Localized Perturbation in Random Networks of Integrate-and-Fire Neurons. Physical Review Letters. 118: 268301. PMID 28707933 DOI: 10.1103/Physrevlett.118.268301 |
0.39 |
|
| 2017 |
Droste F, Lindner B. Exact analytical results for integrate-and-fire neurons driven by excitatory shot noise. Journal of Computational Neuroscience. PMID 28585050 DOI: 10.1007/S10827-017-0649-5 |
0.508 |
|
| 2017 |
Droste F, Lindner B. Exact results for power spectrum and susceptibility of a leaky integrate-and-fire neuron with two-state noise. Physical Review. E. 95: 012411. PMID 28208429 DOI: 10.1103/Physreve.95.012411 |
0.481 |
|
| 2017 |
Grewe J, Kruscha A, Lindner B, Benda J. Synchronous spikes are necessary but not sufficient for a synchrony code in populations of spiking neurons. Proceedings of the National Academy of Sciences of the United States of America. PMID 28202729 DOI: 10.1073/Pnas.1615561114 |
0.434 |
|
| 2017 |
Willareth L, Sokolov IM, Roichman Y, Lindner B. Generalized fluctuation-dissipation theorem as a test of the Markovianity of a system Epl (Europhysics Letters). 118: 20001. DOI: 10.1209/0295-5075/118/20001 |
0.323 |
|
| 2017 |
Rubchinsky LL, Ahn S, Klijn W, Cumming B, Yates S, Karakasis V, Peyser A, Woodman M, Diaz-Pier S, Deraeve J, Vassena E, Alexander W, Beeman D, Kudela P, Boatman-Reich D, ... ... Lindner B, et al. 26th Annual Computational Neuroscience Meeting (CNS*2017): Part 2 Bmc Neuroscience. 18. DOI: 10.1186/S12868-017-0371-2 |
0.687 |
|
| 2017 |
Voronenko SO, Lindner B. Weakly nonlinear response of noisy neurons New Journal of Physics. 19: 33038. DOI: 10.1088/1367-2630/Aa5B81 |
0.421 |
|
| 2017 |
Giner-Baldó J, Thomas PJ, Lindner B. Power Spectrum of a Noisy System Close to a Heteroclinic Orbit Journal of Statistical Physics. 168: 447-469. DOI: 10.1007/S10955-017-1809-8 |
0.435 |
|
| 2016 |
Doose J, Doron G, Brecht M, Lindner B. Noisy Juxtacellular Stimulation In Vivo Leads to Reliable Spiking and Reveals High-Frequency Coding in Single Neurons. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 36: 11120-11132. PMID 27798191 DOI: 10.1523/Jneurosci.0787-16.2016 |
0.423 |
|
| 2016 |
Kruscha A, Lindner B. Partial synchronous output of a neuronal population under weak common noise: Analytical approaches to the correlation statistics. Physical Review. E. 94: 022422. PMID 27627347 DOI: 10.1103/Physreve.94.022422 |
0.479 |
|
| 2016 |
Sharpee TO, Destexhe A, Kawato M, Sekulić V, Skinner FK, Wójcik DK, Chintaluri C, Cserpán D, Somogyvári Z, Kim JK, Kilpatrick ZP, Bennett MR, Josić K, Elices I, Arroyo D, ... ... Lindner B, et al. 25th Annual Computational Neuroscience Meeting: CNS-2016 Bmc Neuroscience. 17: 54. PMID 27534393 DOI: 10.1186/S12868-016-0283-6 |
0.705 |
|
| 2016 |
Lindner B, Sokolov IM. Giant diffusion of underdamped particles in a biased periodic potential. Physical Review. E. 93: 042106. PMID 27176253 DOI: 10.1103/Physreve.93.042106 |
0.314 |
|
| 2016 |
McDonnell MD, Goldwyn JH, Lindner B. Editorial: Neuronal Stochastic Variability: Influences on Spiking Dynamics and Network Activity. Frontiers in Computational Neuroscience. 10: 38. PMID 27148035 DOI: 10.3389/Fncom.2016.00038 |
0.429 |
|
| 2016 |
Blankenburg S, Lindner B. The effect of positive interspike interval correlations on neuronal information transmission. Mathematical Biosciences and Engineering : Mbe. 13: 461-81. PMID 27106183 DOI: 10.3934/Mbe.2016001 |
0.456 |
|
| 2016 |
Lindner B. Mechanisms of Information Filtering in Neural Systems Ieee Transactions On Molecular, Biological and Multi-Scale Communications. 2: 5-15. DOI: 10.1109/Tmbmc.2016.2618863 |
0.437 |
|
| 2015 |
Schwalger T, Lindner B. Analytical approach to an integrate-and-fire model with spike-triggered adaptation. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 92: 062703. PMID 26764723 DOI: 10.1103/Physreve.92.062703 |
0.735 |
|
| 2015 |
Kruscha A, Lindner B. Spike-count distribution in a neuronal population under weak common stimulation. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 92: 052817. PMID 26651754 DOI: 10.1103/Physreve.92.052817 |
0.404 |
|
| 2015 |
Wieland S, Bernardi D, Schwalger T, Lindner B. Slow fluctuations in recurrent networks of spiking neurons. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 92: 040901. PMID 26565154 DOI: 10.1103/Physreve.92.040901 |
0.734 |
|
| 2015 |
Blankenburg S, Wu W, Lindner B, Schreiber S. Information filtering in resonant neurons. Journal of Computational Neuroscience. PMID 26546022 DOI: 10.1007/S10827-015-0580-6 |
0.379 |
|
| 2015 |
Voronenko SO, Stannat W, Lindner B. Shifting Spike Times or Adding and Deleting Spikes-How Different Types of Noise Shape Signal Transmission in Neural Populations. Journal of Mathematical Neuroscience. 5: 1. PMID 26458900 DOI: 10.1186/2190-8567-5-1 |
0.485 |
|
| 2015 |
Amro RM, Lindner B, Neiman AB. Phase Diffusion in Unequally Noisy Coupled Oscillators. Physical Review Letters. 115: 034101. PMID 26230796 DOI: 10.1103/Physrevlett.115.034101 |
0.4 |
|
| 2015 |
Schwalger T, Droste F, Lindner B. Statistical structure of neural spiking under non-Poissonian or other non-white stimulation. Journal of Computational Neuroscience. 39: 29-51. PMID 25936628 DOI: 10.1007/S10827-015-0560-X |
0.775 |
|
| 2015 |
Shiau L, Schwalger T, Lindner B. Interspike interval correlation in a stochastic exponential integrate-and-fire model with subthreshold and spike-triggered adaptation. Journal of Computational Neuroscience. 38: 589-600. PMID 25894991 DOI: 10.1007/S10827-015-0558-4 |
0.776 |
|
| 2015 |
Müller-Hansen F, Droste F, Lindner B. Statistics of a neuron model driven by asymmetric colored noise. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 91: 022718. PMID 25768542 DOI: 10.1103/Physreve.91.022718 |
0.542 |
|
| 2015 |
Bernardi D, Lindner B. A frequency-resolved mutual information rate and its application to neural systems. Journal of Neurophysiology. 113: 1342-57. PMID 25475346 DOI: 10.1152/Jn.00354.2014 |
0.406 |
|
| 2015 |
Anderson DF, Ermentrout B, Friel DD, Galán RF, Lindner B, Pu S, Schmidt DR, Thomas PJ. Fast and accurate representations of stochastic ion channel fluctuations Bmc Neuroscience. 16: P258. DOI: 10.1186/1471-2202-16-S1-P258 |
0.387 |
|
| 2014 |
Thomas PJ, Lindner B. Asymptotic phase for stochastic oscillators. Physical Review Letters. 113: 254101. PMID 25554883 DOI: 10.1103/Physrevlett.113.254101 |
0.381 |
|
| 2014 |
Dummer B, Wieland S, Lindner B. Self-consistent determination of the spike-train power spectrum in a neural network with sparse connectivity. Frontiers in Computational Neuroscience. 8: 104. PMID 25278869 DOI: 10.3389/Fncom.2014.00104 |
0.394 |
|
| 2014 |
Droste F, Lindner B. Integrate-and-fire neurons driven by asymmetric dichotomous noise. Biological Cybernetics. 108: 825-43. PMID 25037240 DOI: 10.1007/S00422-014-0621-7 |
0.537 |
|
| 2014 |
Kromer JA, Lindner B, Schimansky-Geier L. Event-triggered feedback in noise-driven phase oscillators. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 89: 032138. PMID 24730820 DOI: 10.1103/Physreve.89.032138 |
0.618 |
|
| 2014 |
Kromer JA, Pinto RD, Lindner B, Schimansky-Geier L. Noise-controlled bistability in an excitable system with positive feedback Epl. 108. DOI: 10.1209/0295-5075/108/20007 |
0.616 |
|
| 2014 |
Vüllings A, Schöll E, Lindner B. Spectra of delay-coupled heterogeneous noisy nonlinear oscillators European Physical Journal B. 87. DOI: 10.1140/Epjb/E2014-41064-Y |
0.4 |
|
| 2013 |
Schwalger T, Lindner B. Patterns of interval correlations in neural oscillators with adaptation. Frontiers in Computational Neuroscience. 7: 164. PMID 24348372 DOI: 10.3389/Fncom.2013.00164 |
0.76 |
|
| 2013 |
Bauermeister C, Schwalger T, Russell DF, Neiman AB, Lindner B. Characteristic effects of stochastic oscillatory forcing on neural firing: analytical theory and comparison to paddlefish electroreceptor data. Plos Computational Biology. 9: e1003170. PMID 23966844 DOI: 10.1371/Journal.Pcbi.1003170 |
0.776 |
|
| 2013 |
Droste F, Schwalger T, Lindner B. Interplay of two signals in a neuron with heterogeneous synaptic short-term plasticity. Frontiers in Computational Neuroscience. 7: 86. PMID 23882211 DOI: 10.3389/Fncom.2013.00086 |
0.711 |
|
| 2013 |
Sharafi N, Benda J, Lindner B. Information filtering by synchronous spikes in a neural population. Journal of Computational Neuroscience. 34: 285-301. PMID 22968549 DOI: 10.1007/S10827-012-0421-9 |
0.479 |
|
| 2013 |
Blankenburg S, Lindner B, Schreiber S. The shaping of the coherence function of resonate-and-fire neuron models Bmc Neuroscience. 14. DOI: 10.1186/1471-2202-14-S1-P346 |
0.415 |
|
| 2013 |
Voronenko S, Lindner B. Does noise shift or delete spikes? Bmc Neuroscience. 14. DOI: 10.1186/1471-2202-14-S1-P246 |
0.546 |
|
| 2013 |
Bernardi D, Lindner B. Mutual information density of stochastic integrate-and-fire models Bmc Neuroscience. 14. DOI: 10.1186/1471-2202-14-S1-P245 |
0.39 |
|
| 2013 |
Kruscha A, Lindner B. Generalized synchronous output of neural populations - does it only encode fast stimulus components? Bmc Neuroscience. 14. DOI: 10.1186/1471-2202-14-S1-P244 |
0.441 |
|
| 2013 |
Droste F, Lindner B. Analytical results for integrate-and-fire neurons driven by dichotomous noise Bmc Neuroscience. 14. DOI: 10.1186/1471-2202-14-S1-P243 |
0.547 |
|
| 2013 |
Schwalger T, Lindner B. Non-renewal spiking and neural dynamics - a simple theory of interspike-interval correlations in adapting neurons Bmc Neuroscience. 14. DOI: 10.1186/1471-2202-14-S1-O9 |
0.756 |
|
| 2013 |
Schwalger T, Miklody D, Lindner B. When the leak is weak – how the first-passage statistics of a biased random walk can approximate the ISI statistics of an adapting neuron The European Physical Journal Special Topics. 222: 2655-2666. DOI: 10.1140/Epjst/E2013-02045-4 |
0.767 |
|
| 2012 |
Fisch K, Schwalger T, Lindner B, Herz AV, Benda J. Channel noise from both slow adaptation currents and fast currents is required to explain spike-response variability in a sensory neuron. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 32: 17332-44. PMID 23197724 DOI: 10.1523/Jneurosci.6231-11.2012 |
0.782 |
|
| 2012 |
Nandi A, Heinrich D, Lindner B. Distributions of diffusion measures from a local mean-square displacement analysis. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 86: 021926. PMID 23005804 DOI: 10.1103/Physreve.86.021926 |
0.318 |
|
| 2012 |
Dierkes K, Jülicher F, Lindner B. A mean-field approach to elastically coupled hair bundles. The European Physical Journal. E, Soft Matter. 35: 37. PMID 22623035 DOI: 10.1140/Epje/I2012-12037-6 |
0.393 |
|
| 2012 |
Burada PS, Lindner B. Escape rate of an active Brownian particle over a potential barrier. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 85: 032102. PMID 22587135 DOI: 10.1103/Physreve.85.032102 |
0.333 |
|
| 2012 |
Schwalger T, Tiana-Alsina J, Torrent MC, Garcia-Ojalvo J, Lindner B. Interspike-interval correlations induced by two-state switching in an excitable system Epl (Europhysics Letters). 99: 10004. DOI: 10.1209/0295-5075/99/10004 |
0.696 |
|
| 2012 |
Droste F, Schwalger T, Lindner B. Heterogeneous short-term plasticity enables spectral separation of information in the neural spike train Bmc Neuroscience. 13. DOI: 10.1186/1471-2202-13-S1-P98 |
0.752 |
|
| 2012 |
Neiman AB, Dierkes K, Lindner B, Shilnikov AL. Voltage oscillations and response dynamics in a model of sensory hair cells Bmc Neuroscience. 13: P186. DOI: 10.1186/1471-2202-13-S1-P186 |
0.372 |
|
| 2012 |
Romanczuk P, Bär M, Ebeling W, Lindner B, Schimansky-Geier L. Active Brownian particles The European Physical Journal Special Topics. 202: 1-162. DOI: 10.1140/Epjst/E2012-01529-Y |
0.542 |
|
| 2011 |
Neiman AB, Dierkes K, Lindner B, Han L, Shilnikov AL. Spontaneous voltage oscillations and response dynamics of a Hodgkin-Huxley type model of sensory hair cells. Journal of Mathematical Neuroscience. 1. PMID 22282726 DOI: 10.1186/2190-8567-1-11 |
0.341 |
|
| 2011 |
Touya C, Schwalger T, Lindner B. Relation between cooperative molecular motors and active Brownian particles. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 83: 051913. PMID 21728577 DOI: 10.1103/Physreve.83.051913 |
0.702 |
|
| 2011 |
Schwalger T, Fisch K, Benda J, Lindner B. How stochastic adaptation of neurons shapes interspike interval statistics – theory and experiment Bmc Neuroscience. 12. DOI: 10.1186/1471-2202-12-S1-P199 |
0.769 |
|
| 2010 |
Schwalger T, Fisch K, Benda J, Lindner B. How noisy adaptation of neurons shapes interspike interval histograms and correlations. Plos Computational Biology. 6: e1001026. PMID 21187900 DOI: 10.1371/Journal.Pcbi.1001026 |
0.776 |
|
| 2010 |
Merkel M, Lindner B. Synaptic filtering of rate-coded information. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 81: 041921. PMID 20481767 DOI: 10.1103/Physreve.81.041921 |
0.364 |
|
| 2010 |
Barral J, Dierkes K, Lindner B, Jülicher F, Martin P. Coupling a sensory hair-cell bundle to cyber clones enhances nonlinear amplification. Proceedings of the National Academy of Sciences of the United States of America. 107: 8079-84. PMID 20404191 DOI: 10.1073/Pnas.0913657107 |
0.366 |
|
| 2010 |
Wolff L, Lindner B. Mean, variance, and autocorrelation of subthreshold potential fluctuations driven by filtered conductance shot noise. Neural Computation. 22: 94-120. PMID 19764869 DOI: 10.1162/Neco.2009.02-09-958 |
0.428 |
|
| 2010 |
Schwalger T, Lindner B. Theory for serial correlations of interevent intervals European Physical Journal-Special Topics. 187: 211-221. DOI: 10.1140/Epjst/E2010-01286-Y |
0.714 |
|
| 2010 |
Lindner B. Diffusion of particles subject to nonlinear friction and a colored noise New Journal of Physics. 12: 63026. DOI: 10.1088/1367-2630/12/6/063026 |
0.426 |
|
| 2010 |
Nandi A, Lindner B. Intrinsic common noise in a system of two coupled Brusselators Chemical Physics. 375: 348-358. DOI: 10.1016/J.Chemphys.2010.03.006 |
0.435 |
|
| 2009 |
Lindner B, Dierkes K, Jülicher F. Local exponents of nonlinear compression in periodically driven noisy oscillators. Physical Review Letters. 103: 250601. PMID 20366245 DOI: 10.1103/Physrevlett.103.250601 |
0.393 |
|
| 2009 |
Vilela RD, Lindner B. Comparative study of different integrate-and-fire neurons: spontaneous activity, dynamical response, and stimulus-induced correlation. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 80: 031909. PMID 19905148 DOI: 10.1103/Physreve.80.031909 |
0.551 |
|
| 2009 |
Jülicher F, Dierkes K, Lindner B, Prost J, Martin P. Spontaneous movements and linear response of a noisy oscillator European Physical Journal E. 29: 449-460. PMID 19701785 DOI: 10.1140/Epje/I2009-10487-5 |
0.406 |
|
| 2009 |
Lindner B, Gangloff D, Longtin A, Lewis JE. Broadband coding with dynamic synapses. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 29: 2076-88. PMID 19228961 DOI: 10.1186/1471-2202-8-S2-P102 |
0.592 |
|
| 2009 |
Vilela RD, Lindner B. Are the input parameters of white noise driven integrate and fire neurons uniquely determined by rate and CV? Journal of Theoretical Biology. 257: 90-9. PMID 19063904 DOI: 10.1016/J.Jtbi.2008.11.004 |
0.454 |
|
| 2009 |
Schwalger T, Lindner B. Serial interspike interval correlations of excitable neurons with memory Bmc Neuroscience. 10. DOI: 10.1186/1471-2202-10-S1-P122 |
0.758 |
|
| 2009 |
Lindner B, Vilela RD. Comparison of the spontaneous activity, the linear response, and the stimulus-induced spike synchrony for three different integrate-and-fire models Bmc Neuroscience. 10. DOI: 10.1186/1471-2202-10-S1-P100 |
0.321 |
|
| 2009 |
Lindner B. Some unsolved problems relating to noise in biological systems Journal of Statistical Mechanics: Theory and Experiment. 2009: P01008. DOI: 10.1088/1742-5468/2009/01/P01008 |
0.425 |
|
| 2008 |
Dierkes K, Lindner B, Jülicher F. Enhancement of sensitivity gain and frequency tuning by coupling of active hair bundles. Proceedings of the National Academy of Sciences of the United States of America. 105: 18669-74. PMID 19015514 DOI: 10.1073/Pnas.0805752105 |
0.314 |
|
| 2008 |
Schwalger T, Lindner B. Higher-order statistics of a bistable system driven by dichotomous colored noise. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 78: 021121. PMID 18850800 DOI: 10.1103/Physreve.78.021121 |
0.757 |
|
| 2008 |
Wolff L, Lindner B. Method to calculate the moments of the membrane voltage in a model neuron driven by multiplicative filtered shot noise. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 77: 041913. PMID 18517662 DOI: 10.1103/Physreve.77.041913 |
0.517 |
|
| 2008 |
Clausznitzer D, Lindner B, Jülicher F, Martin P. Two-state approach to stochastic hair bundle dynamics. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 77: 041901. PMID 18517650 DOI: 10.1103/Physreve.77.041901 |
0.345 |
|
| 2008 |
Lindner B, Nicola EM. Diffusion in different models of active Brownian motion European Physical Journal-Special Topics. 157: 43-52. DOI: 10.1140/Epjst/E2008-00629-7 |
0.358 |
|
| 2008 |
Lindner B. Diffusion Coefficient of a Brownian Particle with a Friction Function Given by a Power Law Journal of Statistical Physics. 130: 523-533. DOI: 10.1007/S10955-007-9438-2 |
0.359 |
|
| 2007 |
Lewis JE, Lindner B, Laliberté B, Groothuis S. Control of neuronal firing by dynamic parallel fiber feedback: implications for electrosensory reafference suppression. The Journal of Experimental Biology. 210: 4437-47. PMID 18055632 DOI: 10.1242/Jeb.010322 |
0.349 |
|
| 2007 |
Lindner B, Schwalger T. Correlations in the sequence of residence times. Physical Review Letters. 98: 210603. PMID 17677758 DOI: 10.1103/Physrevlett.98.210603 |
0.731 |
|
| 2007 |
Chacron MJ, Lindner B, Longtin A. Threshold fatigue and information transfer. Journal of Computational Neuroscience. 23: 301-11. PMID 17436067 DOI: 10.1007/S10827-007-0033-Y |
0.747 |
|
| 2007 |
Lindner B. The diffusion coefficient of nonlinear Brownian motion New Journal of Physics. 9: 136-136. DOI: 10.1088/1367-2630/9/5/136 |
0.363 |
|
| 2006 |
Lindner B, Longtin A. Comment on "Characterization of subthreshold voltage fluctuations in neuronal membranes," by M. Rudolph and A. Destexhe. Neural Computation. 18: 1896-931. PMID 16771657 DOI: 10.1162/Neco.2006.18.8.1896 |
0.653 |
|
| 2006 |
Lindner B. Superposition of many independent spike trains is generally not a Poisson process. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 73: 022901. PMID 16605377 DOI: 10.1103/Physreve.73.022901 |
0.32 |
|
| 2005 |
Lindner B, Doiron B, Longtin A. Theory of oscillatory firing induced by spatially correlated noise and delayed inhibitory feedback. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 72: 061919. PMID 16485986 DOI: 10.1103/Physreve.72.061919 |
0.778 |
|
| 2005 |
Lindner B, Chacron MJ, Longtin A. Integrate-and-fire neurons with threshold noise: a tractable model of how interspike interval correlations affect neuronal signal transmission. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 72: 021911. PMID 16196608 DOI: 10.1103/Physreve.72.021911 |
0.762 |
|
| 2005 |
Lindner B, Longtin A. Effect of an exponentially decaying threshold on the firing statistics of a stochastic integrate-and-fire neuron. Journal of Theoretical Biology. 232: 505-21. PMID 15588632 DOI: 10.1016/J.Jtbi.2004.08.030 |
0.654 |
|
| 2005 |
Chacron MJ, Lindner B, Maler L, Longtin A, Bastian J. Experimental and theoretical demonstration of noise shaping by interspike interval correlations Proceedings of Spie - the International Society For Optical Engineering. 5841: 150-163. DOI: 10.1117/12.610938 |
0.711 |
|
| 2004 |
Doiron B, Lindner B, Longtin A, Maler L, Bastian J. Oscillatory activity in electrosensory neurons increases with the spatial correlation of the stochastic input stimulus. Physical Review Letters. 93: 048101. PMID 15323795 DOI: 10.1103/Physrevlett.93.048101 |
0.732 |
|
| 2004 |
Chacron MJ, Lindner B, Longtin A. Noise shaping by interval correlations increases information transfer. Physical Review Letters. 92: 080601. PMID 14995762 DOI: 10.1103/Physrevlett.92.080601 |
0.748 |
|
| 2004 |
Lindner B. Interspike interval statistics of neurons driven by colored noise. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 69: 022901. PMID 14995506 DOI: 10.1103/Physreve.69.022901 |
0.494 |
|
| 2004 |
Chacron MJ, Lindner B, Longtin A. ISI correlations and information transfer Fluctuation and Noise Letters. 4: L195-L205. DOI: 10.1142/S0219477504001793 |
0.733 |
|
| 2004 |
Chacron MJ, Lindner B, Longtin A. Erratum: Noise Shaping by Interval Correlations Increases Information Transfer [Phys. Rev. Lett.92, 080601 (2004)] Physical Review Letters. 93. DOI: 10.1103/Physrevlett.93.059904 |
0.718 |
|
| 2004 |
Lindner B. Effects of noise in excitable systems Physics Reports. 392: 321-424. DOI: 10.1016/J.Physrep.2003.10.015 |
0.463 |
|
| 2004 |
Lindner B. Moments of the First Passage Time under External Driving Journal of Statistical Physics. 117: 703-737. DOI: 10.1007/S10955-004-2269-5 |
0.32 |
|
| 2003 |
Middleton JW, Chacron MJ, Lindner B, Longtin A. Firing statistics of a neuron model driven by long-range correlated noise. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 68: 021920. PMID 14525019 DOI: 10.1103/Physreve.68.021920 |
0.756 |
|
| 2003 |
Lindner B, Longtin A, Bulsara A. Analytic expressions for rate and CV of a type I neuron driven by white gaussian noise. Neural Computation. 15: 1760-87. PMID 14511512 DOI: 10.1162/08997660360675035 |
0.691 |
|
| 2003 |
Doiron B, Longtin A, Lindner B. Oscillatory network coding of a global stimulus Proceedings of Spie - the International Society For Optical Engineering. 5110: 201-209. DOI: 10.1117/12.497143 |
0.636 |
|
| 2002 |
Lindner B, Schimansky-Geier L. Noise-induced transport with low randomness. Physical Review Letters. 89: 230602. PMID 12484991 DOI: 10.1103/Physrevlett.89.230602 |
0.607 |
|
| 2002 |
Lindner B, Schimansky-Geier L, Longtin A. Maximizing spike train coherence or incoherence in the leaky integrate-and-fire model. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 66: 031916. PMID 12366161 DOI: 10.1103/Physreve.66.031916 |
0.741 |
|
| 2002 |
Lindner B, Schimansky-Geier L. Analytical approach to the stochastic FitzHugh-Nagumo system and coherence resonance. Physical Review. E, Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics. 60: 7270-6. PMID 11970671 DOI: 10.1103/PHYSREVE.60.7270 |
0.565 |
|
| 2001 |
Lindner B, Schimansky-Geier L. Transmission of noise coded versus additive signals through a neuronal ensemble. Physical Review Letters. 86: 2934-7. PMID 11290076 DOI: 10.1103/Physrevlett.86.2934 |
0.653 |
|
| 2001 |
LINDNER B, KOSTUR M, SCHIMANSKY-GEIER L. OPTIMAL DIFFUSIVE TRANSPORT IN A TILTED PERIODIC POTENTIAL Fluctuation and Noise Letters. 1: R25-R39. DOI: 10.1142/S0219477501000056 |
0.548 |
|
| 2000 |
Lindner B, Schimansky-Geier L. Coherence and stochastic resonance in a two-state system Physical Review E. 61: 6103-6110. PMID 11088283 DOI: 10.1103/Physreve.61.6103 |
0.622 |
|
| 1999 |
Lindner B, Schimansky-Geier L, Reimann P, Hänggi P, Nagaoka M. Inertia ratchets: A numerical study versus theory Physical Review E. 59: 1417-1424. DOI: 10.1103/Physreve.59.1417 |
0.618 |
|
| 1997 |
Bartussek R, Hänggi P, Lindner B, Schimansky-Geier L. Ratchets driven by harmonic and white noise Physica D: Nonlinear Phenomena. 109: 17-23. DOI: 10.1016/S0167-2789(97)00154-1 |
0.631 |
|
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