Professor
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Benjamin Lindner
My interests lie in applications of methods from nonlinear dynamics, stochastic processes, and information theory to complex systems, in particular in neuroscience and cell biology. I focus on developing analytical frameworks for these problems, which does not exclude occasional (mostly happy) encounters with experimental data and serious attempts to understand them in theoretical terms.
030-2093-82492 or 030-2093-7934 | benjamin.lindner(at)physik.hu-berlin.de | Homepage |
Secretary's Office
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Sandra Funk
I try to solve all the other issues apart from physics. Don't hesitate to contact our office.
030-2093-82490 or -82487 | officebl(at)bccn-berlin.de |
Research Assistant
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Michael Zaks
I am interested in collective dynamics in ensembles of coupled systems that model physical and biological effects, like onset and breakdown of synchronous oscillations, symmetry breaking and mechanisms of clustering. Starting from simplified models and proceeding to more realistic ones, I apply methods of nonlinear dynamics to study the effects of coupling patterns, heterogeneity and system size upon transitions between different types of behavior.
030-2093-7608 | zaks(at)physik.hu-berlin.de
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PostDoc
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Yagmur Kati
My primary research interests lie in exploring the intricate balance between equilibrium and non-equilibrium dynamics of nonlinear systems. Delving into disordered lattices, I seek to uncover the underlying principles governing classical and quantum chaos. Furthermore, my work encompasses the study of synchronization phenomena and the complexities of fluid dynamics. Presently, I am engaged in examining asynchronous network models to elucidate the emergent properties of these systems and their potential applications in various scientific disciplines.
030-2093-82482 | kati(at)physik.hu-berlin.de
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PhD Students
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Lukas Ramlow
My research is dedicated to stochastic models of calcium spiking with special emphasis on cumulative refractoriness of the pulse generation.
030-2093-82499 | lukas.ramlow(at)bccn-berlin.de
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Maria Schlungbaum
In my PhD thesis I study the signal detection in sensory neurons which are subject to two competing periodic signals of distinct frequencies and amplitudes. This kind of problem arises if we want to understand how several weakly electric fish communicate in natural situations, e.g. during courtship behavior (one female and two competing male fish). In collaboration with the experimental lab of Jan Benda in Tuebingen, I would like to understand how this cocktail-party problem is solved by the electro-sensory system of this species.
030-2093-82494 | maria.schlungbaum(at)bccn-berlin.de
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Jakob Stubenrauch
I want to understand how cognitive functions emerge from the collective behavior of the large number of neurons in our brain. To this end, I study idealized neuronal networks using methods from statistical physics. In my PhD thesis, I focus on the consolidation of short-term memory into long-term memory, and I investigate how a knowledge base or schema can facilitate this process.
030-2093-82494 | jakob.stubenrauch(at)bccn-berlin.de
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Master Students
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Xiaochen Dong
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Kolja Klett
I'm studying fluctuation dissipation relations of the subthreshold voltage.
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Friedrich Puttkammer
Both spontaneous activity and input response of neurons have been studied extensively, but how these two aspects are connected is poorly understood. Equations, that establish this type of connection are called fluctuation-dissipation relations (FDRs) in statistical physics. FDRs have been derived by Prof. Lindner for integrate-and-fire (IF) models. Standard IF models can be brought closer to biological reality by taking into account an absolute refractory period, which represents the inability of a neuron to encode a signal during the generation of a spike. I work on FDRs for IF models with an absolute refractory period, extending the established theory.
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Bachelor Students
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Ben Bartos
I study non-linear fluctuation-dissipation theorems in stochastic systems.
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Lilli Kiessling
I study non-linear fluctuation-dissipation theorems in stochastic systems.
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Guests
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Alumni
Caroline Berlage
Davide Bernardi
Rinaldo Betkiewicz
Sven Blankenburg
Ian Clotworthy
Xiaochen Dong
Jens Doose
Felix Droste
Christoph Egerland
Leonidas Eleftheriou
Kirsten Engbring
George Farah
Jannik Franzen
Florian Fruth
Finn Müller-Hansen
Jordi Giner-Baldó
Nils Erik Greven;
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