International Workshop on Neuromorphic and Brain-Based Computing Systems
(NeuComp 2013)
held in conjunction with DATE'13
conference
(http://www.date-conference.com / http://www.date-conference.com/conference/workshop-w3)
Call For
Participation
We invite you to
join us for the First International Workshop on Neuromorphic and Brain-Based
Computing Systems (NeuComp 2013), designed to bring together researchers in
neuroscience, computer science, high-performance embedded computing and
neuromorphic engineering.
Workshop
Description
Biological neural systems are well known for
their robust and power-efficient operation in highly noisy environments.
Biological circuits are made up of low-precision, unreliable and massively
parallel neural elements with highly reconfigurable and plastic connections.
Two of the most interesting properties of the neural systems are its
self-organizing capabilities and its template architecture. Recent research in
biologically-plausible neural networks has demonstrated interesting principles
about learning and neural computation. Understanding and applying these
principles to practical problems is only possible if large-scale neural
simulators or circuits can be constructed. This workshop will outline key
modelling abstractions for the brain and focus on recent neural network models.
Aspects of neuronal processing and computational issues related to modelling
these processes will be discussed. Hardware and software solutions readily
usable by neuroscientists and computer scientists and efficient enough to
construct very large networks comparable to brain networks will be presented.
Target Audience
The workshop is designed to attract both
newcomers to neuromorphic computing, as well as neuromorphic researchers who
wish to interact with the DATE community to stimulate new ideas, topics and
collaborations. Since this is a hot area but one that is probably new to a
large segment of the DATE community, half of the workshop will be devoted to a
comprehensive introduction to Neuromorphic and Brain-Based Computing, where the
audience will be exposed to basic definitions, key concepts, abstractions,
design flows, and design constraints; also some highly visible research
projects will be presented as exemplars to provide an overview of existing and
emerging solutions in this domain. The other half of the event will create a
forum for interactive discussion and exchange of ideas and experiences between
researchers through posters and demonstrations, with the goal of highlighting
details on applicability, performance, and strengths of current solutions. Our
aim is for attendees to learn about emerging Neuromorphic and Brain-Based
computing techniques, highlight publicly available modelling and simulation
tools, and view directions for longer term research.
Workshop
Registration
NeuComp 2013 is
being organized as a DATE 2013 Friday Workshop.
Please visit the following web site to register for the workshop:
http://www.date-conference.com/main/registration
Registration in
NeuComp 2013 will include light buffet breakfast, morning and afternoon
refreshments, and lunch. All NeuComp
2013 participants will also receive an informal workshop digest.
Workshop format
The workshop will combine oral and interactive
sessions (posters and demonstrations) together with invited talks representing
major neuromorphic research projects (e.g., BrainScaleS, NeuCod,
SpiNNaker, SyNAPSE). The event will be designed to be highly
interactive, with ample time for discussion and cross-disciplinary engagement.
Invited speakers
- Angelo Arleo (UPMC, FR)
- Claude Berrou
(Telecom Bretagne, FR)
- Daniel Hammerstrom
(DARPA and Portland State University, USA)
- Steve Furber /
Alexander Rast (Manchester University, UK)
- Sean Hill (INCF, USA)
- Jeff Krichmar (UC
Irvine, USA)
-
Karlheinz Meier / Simon Friedman (Heidelberg University, GER)
-
Vijay Narayanan (Pennsylvania State University, USA)
-
Emre Neftci (UCSD, USA)
-
Narayan Srinivasa (HRL, USA)
Preliminary
program
|
|
Session |
Presentation title |
Slides |
Speaker |
Company |
Start |
End |
Duration |
|
|
|
Welcome and introduction |
|
N. Dutt / Ph. Coussy |
UCI / UBS |
08:15 |
08:30 |
00:15 |
|
|
Session 0 |
Brain: principles & modeling
abstractions |
Jeff Krichmar |
University of California |
08:30 |
09:00 |
00:30 |
|
|
|
Session 1 |
|
|
|
|
09:00 |
10:00 |
01:00 |
|
|
|
Simulating the brain without a computer - |
Karlheinz Meier / Simon Friedman |
Heidelberg University |
09:00 |
09:30 |
00:30 |
|
|
|
|
Neuromorphic Visual Systems on FPGAs |
Vijay Narayanan |
Pennsylvania State |
09:30 |
10:00 |
00:30 |
|
|
|
Break & Poster/demo |
|
|
|
|
10:00 |
11:00 |
01:00 |
|
|
Session 2 |
|
|
|
|
11:00 |
12:00 |
01:00 |
|
|
|
When neural networks meet error-correction coding:
new perspectives in associative memories |
Claude Berrou |
Telecom Bretagne / |
11:00 |
11:30 |
00:30 |
|
|
|
|
The emergent microconnectome of neocortical
circuitry |
|
Sean Hill |
INCF |
11:30 |
12:00 |
00:30 |
|
|
Lunch |
|
|
|
|
12:00 |
13:00 |
01:00 |
|
|
Session 3 |
|
|
|
|
13:00 |
14:00 |
01:00 |
|
|
|
SpiNNaker: a Biologically-Inspired
Massively-Parallel Architecture |
Alexander Rast / Steve Furber |
Manchester University |
13:00 |
13:30 |
00:30 |
|
|
|
|
Hierarchical event-based reconfigurable systems for
cognitive neuromorphic engineering |
Emre Neftci /
Gert Cauwenberghs |
UCSD |
13:30 |
14:00 |
00:30 |
|
|
|
Break & Poster/demo |
|
|
|
|
14:00 |
15:00 |
01:00 |
|
|
Session 4 |
|
|
|
|
15:00 |
16:00 |
01:00 |
|
|
|
UPSIDE – Unconventional Processing of Signals for Intelligent Data
Exploitation |
Dan Hammerstrom |
DARPA |
15:00 |
15:30 |
00:30 |
|
|
|
|
A Scalable Analog Neuromorphic Learning System |
Narayan Srinivasa |
HRL |
15:30 |
16:00 |
00:30 |
|
|
|
|
A closed-loop neurobotic system for fine touch
sensing |
|
Angelo Arleo (canceled) |
UPMC |
16:00 |
16:30 |
00:30 |
Poster session #1 and #2
On
the computational role of astrocyte – neuron coupling in brain function
Liam McDaid and Jim Harkin (
Advances in Scalable
Interconnect for Bio-Inspired Computational Platforms
Jim Harkin, Snaider Carrillo and Liam McDaid (
Experimental study of electrical
Morris-Lecar neuron
Rachid Behdad1, Stéphane
Binczak1, Vladimir I Nekorkin2, Alexey S Dmitrichev2
and Jean-Marie Bilbault1 (1Université de
Hardware architecture of
Self-Organizing Maps
Laurent Rodriguez, Laurent Fiack and Benoît Miramond (ENSEA/ETIS - FR) poster
Validation of neural
networks onto FPGA
Laurent Rodriguez1, Laurent Fiack1, Benoît Miramond1 and Erik Hochapfel2 (1ENSEA/ETIS, 2Adacsys
- FR) poster
A Neuromorphic VLSI Implementation of a
Simplified Electrosensory System in a Weakly Electric Fish
Syed Ahmed Aamir, Jacob Engelmann, Leonel Gomez and Elisabetta Chicca (
Training Scheme Analysis for Memristor-Based Neuromorphic Design
Miao Hu1, Hai Li1,
Qing Wu2, Garrett S. Rose2 and Yiran Chen1 (1University
of
Bio-Inspired Artificial
Olfactory System
Ping-Chen Huang and Jan Rabaey (University
of California at Berkeley - 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) poster
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) poster
Towards Formalization of Embedded Brain Reading
Elsa Andrea Kirchner and Rolf Drechsler (
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) poster
Design Exploration of
EMBRACE Hardware Spiking Neural Network Architecture
Sandeep Pande and Fearghal Morgan (National University
of Ireland - IR) poster
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
Brain Inspired
Information Association on Hardware
Khadeer Ahmed, Wei Liu and Qinru Qiu (
CogEye: An online active vision
system that disambiguates and recognizes objects
Lena Sherbakov, Gennady Livitz, Aisha
Sohail, Anatoli Gorchetchnikov, Ennio Mingolla, Heather Ames and Max Versace
(Boston University - US) poster
Neuromorphic Hardware
Architectures: Toward Binary GBNN neural network model
Hugues
Nono Wafo, Cyrille Chavet,
Philippe Coussy and Laura Conde-Canencia (Université de Bretagne-Sud - FR)
General Chair
Nikil Dutt UC
Irvine, USA
Technical Program Committee
Jeff Krichmar University of California – Irvine, Irvine, USA
(Technical Program Co-Chair)
Philippe
Coussy Université de
Bretagne-Sud/Lab-STICC, FR (Technical Program Co-chair)
Angelo
Arleo Université
Pierre et Marie Curie, FR
Claude
Berrou Telecom
Bretagne/Lab-STICC, FR
Romain
Brette ENS Paris,
FR
Gert
Cauwenberghs UCSD, USA
Yiran
Chen University of Pittsburgh, USA
Jorg
Conradt TU
Munich, GER
Nikil Dutt UC
Irvine, USA
Steve Furber Manchester
University, UK
Karlheinz Meier Heidelberg
University, GER
Vijaykrishnan Narayanan Pennsylvania
State University, USA
Narayan Srinivasa HRL,
USA
Massimiliano Versace Boston
University, USA
Organizers
Philippe
Coussy, Université de Bretagne-Sud/Lab-STICC, Lorient, FR
Nikil Dutt, University of California –
Irvine,
If you have any questions about the
workshop, please contact philippe.coussy@univ-ubs.fr and dutt@ics.uci.edu