W3 International Workshop on Neuromorphic and Brain-Based Computing Systems (NeuComp 2013)

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Agenda

Agenda

TimeLabelSession
08:15W3Welcome and introduction

Organisers:
Nikil Dutt, University of California, US
Philippe Coussy, Université de Bretagne-Sud, FR

08:30W3.0Session 0
08:30W3.0.1Brain: principles & modeling abstractions
Jeff Krichmar, University of California, US

09:00W3.1Session 1
09:00W3.1.1Simulating the brain without a computer - Achievements and Challenges of Brain Inspired Computing
Karlheinz Meier and Simon Friedman, Heidelberg University, DE

09:30W3.1.2Neuromorphic Visual Systems on FPGAs
Vijaykrishnan Narayanan, Pennsylvania State University, US

10:00W3Coffee Break & Poster/demo session 1

Monday and Friday morning and afternoon coffee breaks will be located in the Salle de Reception. On Tuesday-Thursday the breaks will be located in the Exhibition Hall. Morning and afternoon (with the exception of Thursday afternoon which is a 30 minute break) coffee breaks on Tuesday-Thursday are extended breaks and will run for 60 minutes (coffee points will be open for the first 30 minutes only) from the start time indicated in the programme.
11:00W3.2Session 2
11:00W3.2.1When neural networks meet error-correction coding: new perspectives in associative memories
Claude Berrou, Telecom Bretagne, FR

11:30W3.2.2The emergent microconnectome of neocortical circuitry
Sean Hill, INCF, US

12:00W3Lunch Break

Buffet meal
13:00W3.3Session 3
13:00W3.3.1SpiNNaker: a Biologically-Inspired Massively-Parallel Architecture
Steve Furber and Alexander Rast, Manchester University, UK

13:30W3.3.2Hierarchical event-based reconfigurable systems for cognitive neuromorphic engineering
Emre Neftci and Gert Cauwenberghs, University of California, San Diego, US

14:00W3Coffee Break & Poster/demo session 2

Monday and Friday morning and afternoon coffee breaks will be located in the Salle de Reception. On Tuesday-Thursday the breaks will be located in the Exhibition Hall. Morning and afternoon (with the exception of Thursday afternoon which is a 30 minute break) coffee breaks on Tuesday-Thursday are extended breaks and will run for 60 minutes (coffee points will be open for the first 30 minutes only) from the start time indicated in the programme.
15:00W3.4Session 4
15:00W3.4.1UPSIDE - Unconventional Processing of Signals for Intelligent Data Exploitation
Dan Hammerstrom, DARPA, US

15:30W3.4.2A Scalable Analog Neuromorphic Learning System
Narayan Srinivasa, HRL, US

16:00W3.4.3A closed-loop neurobotic system for fine touch sensing
Angelo Arleo, Université Pierre et Marie Curie, FR

16:30W3Wrap up and close

Organisers:
Nikil Dutt, University of California, US
Philippe Coussy, Université de Bretagne-Sud, FR

Poster session #1 and #2

On the computational role of astrocyte – neuron coupling in brain function
Liam McDaid and Jim Harkin (UniversityofUlster-UK)

Advances in Scalable Interconnect for Bio-Inspired Computational Platforms
Jim Harkin, Snaider Carrillo and Liam McDaid (University ofUlster -UK)

Experimental study of electrical Morris-Lecar neuron

Rachid Behdad1, Stéphane Binczak1, Vladimir I Nekorkin2, Alexey S Dmitrichev2 and Jean-Marie Bilbault1 (1Université de Bourgogne – FR, 2Institute of Applied Physics of RAS - RU)

Hardware architecture of Self-Organizing Maps
Laurent Rodriguez, Laurent Fiack and Benoît Miramond (ENSEA/ETIS - FR)

Validation of neural networks onto FPGA
Laurent Rodriguez1, Laurent Fiack1, Benoît Miramond1 and Erik Hochapfel2 (1ENSEA/ETIS, 2Adacsys - FR)

A Neuromorphic VLSI Implementation of a Simplified Electrosensory System in a Weakly Electric Fish
Syed Ahmed Aamir, Jacob Engelmann, Leonel Gomez and Elisabetta Chicca (University ofBielefeld - DE)

Training Scheme Analysis for Memristor-Based Neuromorphic Design
Miao Hu1, Hai Li1, Qing Wu2, Garrett S. Rose2 and Yiran Chen1 (1University of Pittsburgh, 2Air Force Research Laboratory - US)

Bio-Inspired Artificial Olfactory System
Ping-Chen Huang and Jan Rabaey (UniversityofCaliforniaatBerkeley- US)

Event management for large scale event-driven digital hardware spiking neural networks
Louis-Charles Caron1, Michiel D'Haene2, Frédéric Mailhot3, Benjamin Schrauwen2 and Jean Rouat3 (1ENSTA ParisTech - FR, 2Universiteit Gent - BE, 3Université de Sherbrooke - CA)

Embedded Hardware Spiking Neural Network for UWB Bladder Volume Classification
Finn Krewer1, Fearghal Morgan1, Sandeep Pande1, Martin O’halloran1, Brian Mc Ginley1, Seamus Cawley1, Jim Harkin2 and Liam Mc Daid2 (1National University of Ireland – IR, 2University of Ulster - UK)

Towards Formalization of Embedded Brain Reading
Elsa Andrea Kirchner and Rolf Drechsler (UniversityofBremen- DE)

Learning visual stimuli in neuromorphic VLSI
Federico Corradi1, Massimiliano Giulioni2, Vittorio Dante2 and Paolo Del Giudice2 (1Institute of neuroinformatics - CH, 2Italian National Institute of Health - IT)

Design Exploration of EMBRACE Hardware Spiking Neural Network Architecture
Sandeep Pande and Fearghal Morgan (NationalUniversity ofIreland - IR)

A VLSI chip with spike-based synaptic plasticity for online learning in real-time
Fabio Stefanini1, Mattia Rigotti2, Stefano Fusi2 and Giacomo Indiveri1 (1University of Zurich and ETHZ – CH, 2ColumbiaUniversity -US)

Brain Inspired Information Association on Hardware
Khadeer Ahmed, Wei Liu and Qinru Qiu (SyracuseUniversity- US)

Learning visual stimuli in neuromorphic VLSI
Federico Corradi1, Massimiliano Giulioni2, Vittorio Dante2 and Paolo Del Giudice2 (1Institute of neuroinformatics - CH, 2Italian National Institute of Health - IT)
Groups: