BCCN

Professor

Benjamin Lindner

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.

030-2093-6336 | benjamin.lindner(at)physik.hu-berlin.de | Homepage

Secretary's Office

Nikola Schrenk

Nikola Schrenk
I joined the Theory of Complex Systems Group in 2011 and have been working in their Secretary's Office ever since, taking care of all kinds of administrative tasks. My background is in English and French Philology focusing on Cognitive Linguistics during my Master's. Currently, I am studying Interior Design at KLC School of Design London/UK and have started my own Interior Design Studio "spheriors".

030-2093-6319 | nikola.schrenk(at)bccn-berlin.de

Research Assistant

Michael Zaks

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

PhD Students

Davide Bernardi

Davide Bernardi
My current research focuses on the dynamics of integrate-and-fire neuronal networks. In particular, I am investigating how large networks react to the strong transient activation of a single neuron. With my work, I hope to gain some insight into surprising experimental results showing that the stimulation of one single cortical cell can have behavioral effects (Houweling and Brecht, Nature, 2008).

030-2093-6215 | davide.bernardi(at)bccn-berlin.de

Rinaldo Betkiewicz

Rinaldo Betkiewicz
My general interest is sensory processing in the insect brain. The insect olfactory system provides a comprehensive basis for studying dense and sparse odor representations. How are different odors represented in the neural activity and shaped by underlying neural mechanisms? To tackle the question, I have implemented a spiking network model of the insect olfactory pathway and focus on two ubiquitous mechanisms underlying sensory processing: spike-frequency adaptation and lateral inhibition.

030-2093-6247 | rinaldo.betkiewicz(at)bccn-berlin.de

Gregory Knoll

Gregory Knoll
Feedback alters a network's unperturbed activity and tunes its spectral statistics. Using networks of spiking neurons with recurrent inhibition, I aim to better understand how the properties of the feedback are reflected in their response distributions, whether synchrony is achieved and more information is transmitted as a result, and how this pertains to the electroreceptor circuits of the weakly electric fish.

030-2093-6215 | gregory.knoll(at)bccn-berlin.de

Lukas Ramlow

Lukas Ramlow
My research is dedicated to stochastic models of calcium spiking with special emphasis on cumulative refractoriness of the pulse generation.

030-2093-6210 | lukas.ramlow(at)bccn-berlin.de

Sebastian Vellmer

Sebastian Vellmer
I study the self-consistent fluctuation statistics in large recurrent networks of spiking neurons. Often these fluctuations are approximated by white (temporally uncorrelated) noise but this is in conflict with experimental observations and theoretical arguments (self-consistency of input and output statistics). In my project, I develop methods to determine these spectra by efficient numerical few-neurons simulation schemes or analytically by extending the popular Fokker-Planck equation to include temporal fluctuations.

030-2093-6210 | sebastian.vellmer(at)bccn-berlin.de

Master Students

Richard Kullmann

Richard Kullmann
For my Master thesis I study spike variability in bursting neuron models in comparison to Brownian Particles in a biased periodic potential. Furthermore, I explore the consequences of enhanced spike count diffusion on neural signal transmission.

Nils Eric Greven

Nils Erik Greven
In my Master thesis, I study stochastic models of coupled molecular motors with the aim of finding an effective mesoscopic description.

030-2093-6210 | nils.erik.greven(at)physik.hu-berlin.de

Bachelor Students

Ian Clotworthy

Ian Clotworthy
In my Bachelor thesis, I explore the power spectrum statistics of discrete stochastic processes.

Kirsten Engbring

Kirsten Engbring
I study non-linear fluctuation-dissipation theorems in stochastic systems.

Georg Farah

George Farah
In my Bachelor thesis, I develop models of non-Gaussian colored noise and study how such a noise process affects escape and diffusion processes.

Alumni

Caroline Berlage
Sven Blankenburg
Jens Doose
Felix Droste
Leonidas Eleftheriou
Florian Fruth
Finn Müller-Hansen
Jordi Giner-Baldó
Alexandra Kruscha

Sergej Voronenko
Tilo Schwalger
Lie June Shiau
Ludger Starke
Peter Thomas
Alexander van Meegen
Günther Waldner
Stefan Wieland
Lucian Willareth