Aditya Gilra

I’m a post-doc at Raoul-Martin Memmesheimer’s lab (Uni-Bonn, Germany) since April 2018. I model learning in spiking neural networks in the brain to control movement and perform cognitive tasks.

Before this, I was a post-doc working on similar topics at Wulfram Gerstner’s lab (EPFL, Switzerland). My PhD thesis was on the roles and connectivity of interneurons in the rodent olfactory bulb, supervised by Upinder S. Bhalla (NCBS, India). And even earlier, I did a Master’s in Physics (TIFR, India) and a Bachelor’s in Electrical and Electronics Engineering (IIT Madras, India).


A. Gilra and W. Gerstner. ‘Predicting non-linear dynamics by stable local learning in a recurrent spiking neural network’. eLife, 6:e28295, 2017. Recommended by Faculty of 1000 Access the recommendation on F1000Prime.

A. Gilra and U. S. Bhalla. ‘Bulbar microcircuit model predicts connectivity and roles of interneurons in odor coding’. PLOS ONE 10 (5): e0098045, 2015.

M. Martinolli, W. Gerstner and A. Gilra, ‘Multi-timescale memory dynamics in a reinforcement learning network with attention-gated memory’. Front. Comput. Neurosci. | doi: 10.3389/fncom.2018.00050.

A. Gilra and W. Gerstner. ‘Non-linear motor control by local learning in spiking neural networks’. Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1768-1777, 2018. Long talk at ICML 2018.

Code and further details on my homepage.

Room: 1.029,
Institute for Genetics,
University of Bonn,
Kirschallee 1,
53115, Bonn, Germany.
agilra AT
+49 (0) 228 73 7020

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