Prof. Dr. Benjamin Lindner
Profil
Forschungsthemen8
IGRK 1740/2: Dynamische Phänomene in komplexen Netzwerken: Grundlagen und Anwendungen
Quelle ↗Förderer: DFG Graduiertenkolleg Zeitraum: 04/2016 - 12/2020 Projektleitung: Prof. Dr. Dr. h.c. Jürgen Kurths
Kalziumpulse mit kumulativen Refraktärvariablen - Fluktuationstatistik und Implikationen für die Signalübertragung mit Kalzium
Quelle ↗Förderer: DFG Sachbeihilfe Zeitraum: 04/2019 - 09/2023 Projektleitung: Prof. Dr. Benjamin Lindner, Prof. Dr. Martin Falcke
Optimale nichtlineare Flukuations-Reaktions Tests der Markov-Eigenschaft
Quelle ↗Förderer: DFG Sachbeihilfe Zeitraum: 06/2026 - 05/2029 Projektleitung: Prof. Dr. Benjamin Lindner
Positive Auswirkungen von Fluktuationen auf die Übertragung und Verarbeitung von zeitabhängigen Signalen durch Populationen sensorischer Nervenzellen
Quelle ↗Förderer: DFG Sachbeihilfe Zeitraum: 03/2014 - 07/2017 Projektleitung: Prof. Dr. Benjamin Lindner
SFB 1315/2: Ein neuronales Modell für die Entwicklung von Schemas und ihre Rolle bei der systemischen Gedächtniskonsolidierung (TP B01)
Quelle ↗Förderer: DFG Sonderforschungsbereich Zeitraum: 07/2022 - 06/2026 Projektleitung: Prof. Dr. Richard Kempter, Prof. Dr. Benjamin Lindner
SPP 2205: Schwach-nichtlineare Interaktionen in einem elektrosensorischen Cocktailparty-Problem
Quelle ↗Förderer: DFG Schwerpunktprogramm Zeitraum: 05/2020 - 12/2024 Projektleitung: Prof. Dr. Benjamin Lindner
Synchrone Kodierung in rekurrenten Netzwerken
Quelle ↗Förderer: DFG Sachbeihilfe Zeitraum: 10/2018 - 01/2022 Projektleitung: Prof. Dr. Benjamin Lindner
Theorie komplexer Systeme und Neurophysik
Quelle ↗Förderer: Bundesministerium für Forschung, Technologie und Raumfahrt Zeitraum: 05/2011 - 10/2016 Projektleitung: Prof. Dr. Benjamin Lindner
Mögliche Industrie-Partner10
Stand: 26.4.2026, 19:48:44 (Top-K=20, Min-Cosine=0.4)
- IGRK 1740/2: Dynamische Phänomene in komplexen Netzwerken: Grundlagen und AnwendungenK85.0%
- IGRK 1740/2: Dynamische Phänomene in komplexen Netzwerken: Grundlagen und Anwendungen
- 160 Treffer63.5%
- SFB 1315/2: Mechanismen und Störungen der Gedächtniskonsolidierung: Von Synapsen zur SystemebeneT63.5%
- DFG-Sachbeihilfe: Aufmerksamkeit und sensorische Integration im aktiven Sehen von bewegten ObjektenT51.2%
- SFB 1315/2: Mechanismen und Störungen der Gedächtniskonsolidierung: Von Synapsen zur Systemebene
- 83 Treffer58.5%
- INTeractive RObotics Research NetworkP58.5%
- INTeractive RObotics Research Network
- 83 Treffer58.5%
- INTeractive RObotics Research NetworkP58.5%
- INTeractive RObotics Research Network
- 52 Treffer57.8%
- Embodied Audition for RobotSP57.8%
- Embodied Audition for RobotS
- 146 Treffer57.6%
- EU: Simulation in Multiscale Physical and Biological Systems (STIMULATE)P57.6%
- EU: Bottom-Up Generation of atomicalLy Precise syntheTIc 2D MATerials for High Performance in Energy and Electronic Applications – A Multi-Site Innovative Training Action (ULTIMATE)P51.3%
- EU: Simulation in Multiscale Physical and Biological Systems (STIMULATE)
- 112 Treffer57.6%
- EU: Simulation in Multiscale Physical and Biological Systems (STIMULATE)P57.6%
- EU: Simulation in Multiscale Physical and Biological Systems (STIMULATE)
NVIDIA GmbH
PT111 Treffer57.6%- EU: Simulation in Multiscale Physical and Biological Systems (STIMULATE)P57.6%
- EU: Simulation in Multiscale Physical and Biological Systems (STIMULATE)
- 81 Treffer56.8%
- Design & Implementierung eines neuronalen Netzwerks für die Personendetektion (Transferbonus)T56.8%
- Design & Implementierung eines neuronalen Netzwerks für die Personendetektion (Transferbonus)
- 13 Treffer55.7%
- Gamification for Climate ActionP55.7%
- Gamification for Climate Action
Publikationen25
Top 25 nach Zitationen — Quelle: OpenAlex (BAAI/bge-m3 embedded für Matching).
Physics Reports · 1478 Zitationen · DOI
The European Physical Journal Special Topics · 1112 Zitationen · DOI
Angewandte Chemie International Edition · 478 Zitationen · DOI
Azaacenes have been known for a very long time, either as N,N'-dihydro compounds or in their oxidized form as 4n+2π systems, but only recently have processable and charcterizable derivatives been sought. In the last three years synthetic routes to large N-heteroacenes have been developed. In particular, the Pd-catalyzed coupling of aromatic diamines with activated aromatic dihalogenides has enabled simple access to numerous new azaacenes. Since 2010, azapentacene and stabile oligoazahexacene have been synthesized, as well as a symmetrical tetraazapentacene, which acts as an excellent electron-transport material for thin-film transistors.
Biotechnology for Biofuels · 248 Zitationen · DOI
Lignin thus binds exactly where for industrial purposes it is least desired, providing a simple explanation of why hydrolysis yields increase with lignin removal.
Hearing Research · 245 Zitationen · DOI
Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics · 244 Zitationen · DOI
We consider the FitzHugh-Nagumo system under the influence of white Gaussian noise in the excitable regime. We present an analytical approximation in the limit of fast activator time scale. Marginal probability densities of a reduced system and dynamical quantities such as the pulse rate are found and the mean interspike interval and its relative standard deviation are investigated. The latter quantities allow a quantitative description of the phenomenon of coherence resonance, as comparisons with simulations show.
Green Chemistry · 241 Zitationen · DOI
Lignocellulosic biomass, a potentially important renewable organic source of energy and chemical feedstock, resists degradation to glucose in industrial hydrolysis processes and thus requires expensive thermochemical pretreatments. Understanding the mechanism of biomass breakdown during these pretreatments will lead to more efficient use of biomass. By combining multiple probes of structure, sensitive to different length scales, with molecular dynamics simulations, we reveal two fundamental processes responsible for the morphological changes in biomass during steam explosion pretreatment: cellulose dehydration and lignin-hemicellulose phase separation. We further show that the basic driving forces are the same in other leading thermochemical pretreatments, such as dilute acid pretreatment and ammonia fiber expansion.
Physical Review Letters · 189 Zitationen · DOI
Neuronal populations receive signals through temporally inhomogeneous spike trains which can be approximated by an input consisting of a time dependent mean value (additive signal) and noise with a time dependent intensity (noise coded signal). We compare the linear response of an ensemble of model neurons to these signals. Our analytical solution for the mean activity demonstrates the high efficiency of the transmission of a noise coded signal in a broad frequency band. For both kinds of signal we show that the transmission by the ensemble reveals stochastic resonance as well as a nonmonotonous dependence on the driving frequency.
Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics · 183 Zitationen · DOI
The subject of our study is a two-state dynamics driven by Gaussian white noise and a weak harmonic signal. The system resulting from a piecewise linear FizHugh-Nagumo model in the case of perfect time scale separation between fast and slow variables shows either bistable, excitable, or oscillatory behavior. Its output spectra as well as the spectral power amplification of the signal can be calculated for arbitrary noise strength and frequency, allowing characterization of the coherence resonance in the bistable and excitable regimes as well as quantification of nonadiabatic resonances with respect to the external signal in all regimes.
Theory of oscillatory firing induced by spatially correlated noise and delayed inhibitory feedback
2005Physical Review E · 182 Zitationen · DOI
A network of leaky integrate-and-fire neurons with global inhibitory feedback and under the influence of spatially correlated noise is studied. We calculate the spectral statistics of the network (power spectrum of the population activity, cross spectrum between spike trains of different neurons) as well as of a single neuron (power spectrum of spike train, cross spectrum between external noise and spike train) within the network. As shown by comparison with numerical simulations, our theory works well for arbitrary network size if the feedback is weak and the amount of external noise does not exceed that of the internal noise. By means of our analytical results we discuss the quality of the correlation-induced oscillation in a large network as a function of the transmission delay and the internal noise intensity. It is shown that the strongest oscillation is obtained in a system with zero internal noise and adiabatically long delay (i.e., the delay period is longer than any other time scale in the system). For a neuron with a strong intrinsic frequency, the oscillation becomes strongly anharmonic in the case of a long delay time. We also discuss briefly the kind of synchrony introduced by the feedback-induced oscillation.
Fluctuation and Noise Letters · 172 Zitationen · DOI
We study the diffusive motion of an overdamped Brownian particle in a tilted periodic potential. Mapping the continuous dynamics onto a discrete cumulative process we find exact expressions for the diffusion coefficient and the Péclet number which characterize the transport. At a sufficiently strong but subcritical bias an optimized transport with respect to the noise strength is observed. These results are confirmed by numerical solution of the Fokker-Planck equation.
Angewandte Chemie International Edition · 164 Zitationen · DOI
Give me an N: Tetraazahexacenes (see picture, N blue, Si brown) are easily prepared in high yields. Their modular synthesis allows the introduction of any substituent by the choice of suitable quinoxaline derivatives.
Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics · 156 Zitationen · DOI
We study noise-induced resonance effects in the leaky integrate-and-fire neuron model with absolute refractory period, driven by a Gaussian white noise. It is demonstrated that a finite noise level may either maximize or minimize the regularity of the spike train. We also partition the parameter space into regimes where either or both of these effects occur. It is shown that the coherence minimization at moderate noise results in a flat spectral response with respect to periodic stimulation in contrast to sharp resonances that are observed for both small and large noise intensities.
Angewandte Chemie · 151 Zitationen · DOI
Abstract Azaacene sind seit langem bekannt, entweder als N,N′‐Dihydroverbindungen oder in ihrer oxidierten Form als 4 n+2π‐Systeme, aber erst seit kurzer Zeit versucht man, prozessierbare und charakterisierbare Derivate zu erhalten. In den letzten drei Jahren wurden neue Synthesewege für größere N‐Heteroacene entwickelt. Besonders die Pd‐katalysierten Kupplungen aromatischer Diamine mit aktivierten aromatischen Dihalogeniden haben zahlreiche neuartige Azaacene einfach zugänglich gemacht. Seit 2010 konnte eine Vielzahl Azapentacene und stabiler Oligoazahexacene synthetisiert werden, darunter auch ein symmetrisches Tetraazapentacen, das ein ausgezeichnetes Elektronentransportmaterial für Dünnschichttransistoren darstellt.
Physical Review Letters · 125 Zitationen · DOI
The influence of intrinsic firing interspike interval correlations on the noise spectrum and information transfer is studied. This is done through the comparison of two simple firing models, one of which is a renewal process while the other displays interval correlations. These correlations are shown to shape the spike train power spectrum and, in particular, to decrease the noise power at low frequencies. Linear response theory and numerical simulations reveal how this shaping can increase the transmission of information about a time-varying signal. Our results are relevant to the analysis of nonrenewal point processes and signal detection in physics and biology.
Physical Review Letters · 124 Zitationen · DOI
We present results from a novel experimental paradigm to investigate the influence of spatial correlations of stimuli on electrosensory neural network dynamics. Further, a new theoretical analysis for the dynamics of a model network of stochastic leaky integrate-and-fire neurons with delayed feedback is proposed. Experiment and theory for this system both establish that spatial correlations induce a network oscillation, the strength of which is proportional to the degree of stimulus correlation at constant total stimulus power.
Journal of the American Chemical Society · 122 Zitationen · DOI
The lipid raft hypothesis presents insights into how the cell membrane organizes proteins and lipids to accomplish its many vital functions. Yet basic questions remain about the physical mechanisms that lead to the formation, stability, and size of lipid rafts. As a result, much interest has been generated in the study of systems that contain similar lateral heterogeneities, or domains. In the current work we present an experimental approach that is capable of isolating the bending moduli of lipid domains. This is accomplished using neutron scattering and its unique sensitivity to the isotopes of hydrogen. Combining contrast matching approaches with inelastic neutron scattering, we isolate the bending modulus of ∼13 nm diameter domains residing in 60 nm unilamellar vesicles, whose lipid composition mimics the mammalian plasma membrane outer leaflet. Importantly, the bending modulus of the nanoscopic domains differs from the modulus of the continuous phase surrounding them. From additional structural measurements and all-atom simulations, we also determine that nanoscopic domains are in-register across the bilayer leaflets. Taken together, these results inform a number of theoretical models of domain/raft formation and highlight the fact that mismatches in bending modulus must be accounted for when explaining the emergence of lateral heterogeneities in lipid systems and biological membranes.
Neural Computation · 114 Zitationen · DOI
We study the one-dimensional normal form of a saddle-node system under the influence of additive gaussian white noise and a static "bias current" input parameter, a model that can be looked upon as the simplest version of a type I neuron with stochastic input. This is in contrast with the numerous studies devoted to the noise-driven leaky integrate-and-fire neuron. We focus on the firing rate and coefficient of variation (CV) of the interspike interval density, for which scaling relations with respect to the input parameter and noise intensity are derived. Quadrature formulas for rate and CV are numerically evaluated and compared to numerical simulations of the system and to various approximation formulas obtained in different limiting cases of the model. We also show that caution must be used to extend these results to the Theta neuron model with multiplicative gaussian white noise. The correspondence between the first passage time statistics for the saddle-node model and the Theta neuron model is obtained only in the Stratonovich interpretation of the stochastic Theta neuron model, while previous results have focused only on the Ito interpretation. The correct Stratonovich interpretation yields CVs that are still relatively high, although smaller than in the Ito interpretation; it also produces certain qualitative differences, especially at larger noise intensities. Our analysis provides useful relations for assessing the distance to threshold and the level of synaptic noise in real type I neurons from their firing statistics. We also briefly discuss the effect of finite boundaries (finite values of threshold and reset) on the firing statistics.
Scaling of Multimillion-Atom Biological Molecular Dynamics Simulation on a Petascale Supercomputer
2009Journal of Chemical Theory and Computation · 103 Zitationen · DOI
A strategy is described for a fast all-atom molecular dynamics simulation of multimillion-atom biological systems on massively parallel supercomputers. The strategy is developed using benchmark systems of particular interest to bioenergy research, comprising models of cellulose and lignocellulosic biomass in an aqueous solution. The approach involves using the reaction field (RF) method for the computation of long-range electrostatic interactions, which permits efficient scaling on many thousands of cores. Although the range of applicability of the RF method for biomolecular systems remains to be demonstrated, for the benchmark systems the use of the RF produces molecular dipole moments, Kirkwood G factors, other structural properties, and mean-square fluctuations in excellent agreement with those obtained with the commonly used Particle Mesh Ewald method. With RF, three million- and five million-atom biological systems scale well up to ∼30k cores, producing ∼30 ns/day. Atomistic simulations of very large systems for time scales approaching the microsecond would, therefore, appear now to be within reach.
Physical Review E · 100 Zitationen · DOI
A perfect integrate-and-fire model driven by colored noise is studied by means of the interspike interval (ISI) density and the serial correlation coefficient. Exact and approximate expressions for these functions are derived for weak dichotomous or Gaussian noise, respectively. It is shown that correlations in the input result in positive correlations in the ISI sequence and in a reduction of ISI variability. The results also indicate that for weak noise, the noise distribution only shapes the ISI density but not the ISI correlations which are determined by the noise's correlation function.
BMC Neuroscience · 99 Zitationen · DOI
Abstracts of the 25th Annual Computational Neuroscience\nMeeting: CNS-2016\nSeogwipo City, Jeju-do, South Korea. 2–7 July 2016
Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics · 97 Zitationen · DOI
We study the statistics of the firing patterns of a perfect integrate and fire neuron model driven by additive long-range correlated Ornstein-Uhlenbeck noise. Using a quasistatic weak noise approximation we obtain expressions for the interspike interval (ISI) probability density, the power spectral density, and the spike count Fano factor. We find unimodal, long-tailed ISI densities, Lorenzian power spectra at low frequencies, and a minimum in the Fano factor as a function of counting time. The implications of these results for signal detection are discussed.
Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics · 93 Zitationen · DOI
The colored (Ornstein-Uhlenbeck) noise-driven nonequilibrium dynamics of massive damped Brownian particles in a periodic but asymmetric potential (ratchet) is investigated. Our special focus is on the influence of inertia in the particle dynamics for the noise induced, directed current. By means of two approximation schemes (a unified colored noise approximation and a path-integral approach) and by numerical matrix-continued-fraction evaluations of the inherent, three-dimensional Fokker-Planck dynamics as well as by direct simulations of the stochastic differential equations we examine the dynamics at various inertial strengths. For the case of a large mass we find current reversal with respect to both a variation of the mass and of the noise-correlation time. Possibilities for efficient mass-sensitive scenarios for separation of particles are discussed.
Physical Review E · 90 Zitationen · DOI
We study the sum of many independent spike trains and ask whether the resulting spike train has Poisson statistics or not. It is shown that for a non-Poissonian statistics of the single spike train, the resulting sum of spikes has exponential interspike interval (ISI) distributions, vanishing the ISI correlation at a finite lag but exhibits exactly the same power spectrum as the original spike train does. This paradox is resolved by considering what happens to ISI correlations in the limit of an infinite number of superposed trains. Implications of our findings for stochastic models in the neurosciences are briefly discussed.
Nature Communications · 87 Zitationen · DOI
On-surface chemical reactions hold the potential for manufacturing nanoscale structures directly onto surfaces by linking carbon atoms in a single-step reaction. To fabricate more complex and functionalized structures, the control of the on-surface chemical reactions must be developed significantly. Here, we present a thermally controlled sequential three-step chemical transformation of a hydrocarbon molecule on a Cu(111) surface. With a combination of high-resolution atomic force microscopy and first-principles computations, we investigate the transformation process in step-by-step detail from the initial structure to the final product via two intermediate states. The results demonstrate that surfaces can be used as catalysing templates to obtain compounds, which cannot easily be synthesized by solution chemistry.
Kooperationen12
Bestätigte Forscher↔Partner-Paare aus HU-FIS — Gold-Standard-Positive für das Matching.
IGRK 1740/2: Dynamische Phänomene in komplexen Netzwerken: Grundlagen und Anwendungen
university
IGRK 1740/2: Dynamische Phänomene in komplexen Netzwerken: Grundlagen und Anwendungen
university
IGRK 1740/2: Dynamische Phänomene in komplexen Netzwerken: Grundlagen und Anwendungen
other
SFB 1315/2: Ein neuronales Modell für die Entwicklung von Schemas und ihre Rolle bei der systemischen Gedächtniskonsolidierung (TP B01)
university
SPP 2205: Schwach-nichtlineare Interaktionen in einem elektrosensorischen Cocktailparty-Problem
university
IGRK 1740/2: Dynamische Phänomene in komplexen Netzwerken: Grundlagen und Anwendungen
university
Kalziumpulse mit kumulativen Refraktärvariablen - Fluktuationstatistik und Implikationen für die Signalübertragung mit Kalzium
other
IGRK 1740/2: Dynamische Phänomene in komplexen Netzwerken: Grundlagen und Anwendungen
other
IGRK 1740/2: Dynamische Phänomene in komplexen Netzwerken: Grundlagen und Anwendungen
other
IGRK 1740/2: Dynamische Phänomene in komplexen Netzwerken: Grundlagen und Anwendungen
university
IGRK 1740/2: Dynamische Phänomene in komplexen Netzwerken: Grundlagen und Anwendungen
university
IGRK 1740/2: Dynamische Phänomene in komplexen Netzwerken: Grundlagen und Anwendungen
university
Stammdaten
Identität, Organisation und Kontakt aus HU-FIS.
- Name
- Prof. Dr. Benjamin Lindner
- Titel
- Prof. Dr.
- Fakultät
- Mathematisch-Naturwissenschaftliche Fakultät
- Institut
- Institut für Physik
- Arbeitsgruppe
- Theoretische Physik (Theorie komplexer Systeme und Neurophysik)
- Telefon
- +49 30 2093-7934
- HU-FIS-Profil
- Quelle ↗
- Zuletzt gescrapt
- 26.4.2026, 01:08:36