Florian Meier

ETH Zürich
Florian Meier
Institut für Theoretische Informatik
CAB J 21.4
Universitätstrasse 6
8092 Zürich

Phone: +41 44 633 83 02
E-Mail: meierflo@inf.ethz.ch

Research Interests

I am a fourth year PhD student in the amazing group of Angelika Steger. My research focus lies at the cutting-edge touching point of three fascinating fields: computational neuro-science, artificial neural networks and mathematical analysis of stochastic processes. My core interest is the theory of learning in artificial and bio-plausible neural networks. A broad range of scientific areas intrigue me, such as associative memories, sequence learning, recurrent neural networks, analysis of random processes and evolutionary algorithms.

Publications and Preprints

Approximating Real-Time Recurrent Learning with Random Kronecker Factors
(joint with Asier Mujika and Angelika Steger)

A hippocampal model for behavioral time acquisition and fast bidirectional replay of spatio-temporal memory sequences
video abstract
joint work with H. Einarsson, M. Gauy, J. Lengler, F. Weissenberger, M. Yanik and A. Steger
preprint on bioRxiv, 2018

On the origin of lognormal network synchrony in CA1
joint work with H. Einarsson, M. Gauy, F. Weissenberger, A. Mujika, J. Lengler and A. Steger
Hippocampus, to appear

The linear hidden subset problem for the (1+1) EA with scheduled and adaptive mutation rates
(joint work with Haffstein Einarsson, Johannes Lengler, Marcelo Matheus Gauy, Asier Mujika, Angelika Steger and Felix Weissenberger)
accepted at GECCO, 2018.

Even flying cops should think ahead
(joint work with Anders Martinsson, Patrick Schnider and Angelika Steger)
accepted at ISCO, 2018.

Voltage dependence of synaptic plasticity is essential for rate based learning with short stimuli
(joint work with Felix Weissenberger, Marcelo Matheus Gauy, Johannes Lengler, and Angelika Steger)
Nature Scientific Reports, 2018.

Long synfire chains emerge by spike-timing dependent plasticity modulated by population activity
(joint work with Felix Weissenberger, Johannes Lengler, Hafsteinn Einarsson and Angelika Steger)
International Journal of Neural Systems, 2017.

Fast-Slow Recurrent Neural Networks
(joint work with Asier Mujika and Angelika Steger)
Advances in Neural Information Processing Systems, 2017.

Asymptotically Optimal Amplifiers for the Moran Process
(joint work with Leslie Ann Goldberg, John Lapinskas, Johannes Lengler, Konstantinos Panagiotou and Pascal Pfister)

Multiassociative Memory: Recurrent Synapses Increase Storage Capacity
(joint work with Marcelo Matheus Gauy and Angelika Steger)
Neural Computation, 2017 - MIT Press, Volume 29

Push is Fast on Sparse Random Graphs
(joint work with Ueli Peter)
SIAM J. Discrete Math., Volume 31, Issue 1, 2017.