Christian Klos

I studied physics at the Technical University of Darmstadt from 2011 to 2016. For the work on my master’s thesis, I joined the lab of Jochen Triesch at the FIAS Frankfurt. My thesis was about sequence learning in a self-organizing recurrent neural network model. In May 2017, I started my PhD studies under supervision of Raoul-Martin Memmesheimer.

I am interested in the computational capabilities and dynamical features of recurrent neural network models. My current research projects concern the problem of learning without synaptic weight changes (dynamical learning) and the effects of epilepsy-induced changes on network function. The latter project is done in close collaboration with the experimental lab of Heinz Beck.


Y.F. Kalle Kossio, S. Goedeke, C. Klos, R.-M. Memmesheimer (2020)
Drifting assemblies for persistent memory

C. Klos, Y.F. Kalle Kossio, S. Goedeke, A. Gilra, R.-M. Memmesheimer (2020)
Dynamical learning of dynamics
Phys. Rev. Lett. 125:088103

L. Pothmann*C. Klos*O. Braganza*S. SchmidtO. HornoR.-M. Memmesheimer, H. Beck (2019)
Altered dynamics of canonical feed-back inhibition predicts increased burst transmission in chronic epilepsy
J. Neurosci. 2594-18.

C. Klos, D. Miner and J. Triesch (2018)
Bridging structure and function: A model of sequence learning and prediction in primary visual cortex
PLoS Comput. Biol. 14 (6): e1006187.

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