Jonathan Binas

Position:	PhD Student -- ended May 2017
Email:	jbinas@ini.uzh.ch
Work phone:
Home page:	http://jbinas.com
Location:	55g75-d11

[MOVED: I am now at MILA, Montreal]

I was trained as a physicist at ETH Zurich before joining INI for a PhD. I have always been interested in the interdisciplinary field of neural computation, where biology, physics, mathematics, engineering, and computer science meet.

I work on neuro-inspired models of computation and computing architectures, both theoretically and by developing new kinds of computing hardware.

Specifically, my work focuses on

> Ultra-efficient deep neural network implementations based on analog VLSI technology,
> Event-based and probabilistic computation in recurrent neural assemblies,
> Spike-based neural computation,
> Learning and self-organization of neural circuitry.

Find out more:

> MILA personal website
> Publications (Google Scholar)
> Code (Github)

Supervisor

Giacomo Indiveri

Sub-Projects

Publications

2020

Hu, Y., Binas, J., Neil, D., Liu, S-C., Delbruck T. DDD20 End-to-End Event Camera Driving Dataset: Fusing Frames and Events with Deep Learning for Improved Steering Prediction, The 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

2017

Binas, J and Neil, D and Liu, SC and Delbruck, T DDD17: End-To-End DAVIS Driving Dataset, ArXiv Computer Vision and Pattern Recognition, 2017 pdf

2016

Binas, J. and Indiveri, G. and and Pfeiffer, M. Spiking Analog VLSI Neuron Assemblies as Constraint Satisfaction Problem Solvers, International Symposium on Circuits and Systems (ISCAS) 2094-2097, 2016 pdf
Binas J., Neil D., Indiveri G., Liu SC., and Pfeiffer M. Precise deep neural network computation on imprecise low-power analog hardware, arXiv, 1606.07786:, 2016
J. Binas, G. Indiveri, M. Pfeiffer Deep counter networks for asynchronous event-based processing, Arxiv.org, 2016

2015

Binas, J. and Indiveri, G. and Pfeiffer, M. Local Structure Helps Learning Optimized Automata in Recurrent Neural Networks, IEEE International Joint Conference on Neural Networks (IJCNN), 2015 pdf
Diehl, P.U. and Neil, D. and Binas, J. and Cook, M. and Liu, S.C. and Pfeiffer, M. Fast-Classifying, High-Accuracy Spiking Deep Networks Through Weight and Threshold Balancing, IEEE International Joint Conference on Neural Networks (IJCNN), 2015 pdf

2014

Binas, J. and Rutishauser, U. and Indiveri, G. and Pfeiffer, M. Learning and Stabilization of Winner-Take-All Dynamics Through Interacting Excitatory and Inhibitory Plasticity, Frontiers in Computational Neuroscience, 8:(68), 2014

2013

Neftci, Emre and Binas, Jonathan and Rutishauser, Ueli and Chicca, Elisabetta and Indiveri, Giacomo and Douglas, Rodney J. Synthesizing Cognition in Neuromorphic Electronic Systems, PNAS, 110:(37) E3468–E3476, 2013

2012

Neftci, Emre and Binas, Jonathan and Chicca, Elisabetta and Indiveri, Giacomo and Douglas, Rodney Systematic Construction of Finite State Automata Using VLSI Spiking Neurons, Biomimetic and Biohybrid Systems 382-383, 2012

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