[Comp-neuro] SAC2016 - NeuroComputing Track - Paper submission DEADLINE EXTEDED

Falotico Egidio e.falotico at sssup.it
Wed Sep 2 14:20:45 CEST 2015

Dear Community,
The paper submission deadline of SAC2016 conference has 
been extended to September 21. Please consider to submit a 
contribution to the NeuroComputing track.

NeuroComputing Track -  Call For Papers
The NeuroComputing Track has been proposed as a track of 
the Symposium on applied Computing (SAC2016) that will be 
held in Pisa from 4 to 8 April 2016.
The ACM Symposium on Applied Computing (SAC) has been a 
primary gathering forum for applied computer scientists, 
computer engineers, software engineers, and application 
developers from around the world. SAC 2016 is sponsored by 
the ACM Special Interest Group on Applied Computing 

The development of computation models of the nervous 
system and neural processes has risen at a rapid pace. 
Developing neuro-inspired computing paradigms that mimic 
nervous system function fosters our model understanding of 
the biological system and targets technical applications 
in artificial systems. Today, combined efforts in the 
fields of the neuroscience and computer science in 
interdisciplinary research projects like the Human Brain 
Project enable the simulation of spiking biological neural 
networks with millions of neurons. In order to deal with 
the complexity and scaling of such networks a new 
generation of appropriate tool is needed to simulate the 
neural network in real-time. Neuromorphic hardware and 
supercomputers are the ideal candidates on the hardware 
side, and on the software side tools should ease the 
development and support the researcher during the 
evaluation by offering a toolchain for the implementation 
and simulation.
The aim of the ACM Symposium on Applied Computing (SAC) 
Track on NeuroComputing is to gather innovative works 
related to the application of computational techniques for 
the brain simulation, as well as the system software, 
middleware, interactive computational steering and 
visualization support necessary to create and simulate 
multi-scale brain models and to address the hard-scaling 
challenges of whole brain modelling.


-	Neuromorphic hardware
-	Large scale simulation of NN
-	Brain visualization tools
-	Neuro imaging software
-	Spiking neural networks
-	Bio-inspired learning mechanisms
-	Software applications for real-time neural network 
-	Software applications for real-time brain-body 
-	High performance computing for neural simulation
-	Neural simulators

September 21, 2015 : Paper submission extended
November 13, 2015 : Acceptance notification
December 11, 2015 : Camera-ready submission

Cecilia Laschi, The BioRobotics Institut,e Scuola 
Superiore Sant’Anna Pisa, Italy
Egidio Falotico, The BioRobotics Institute, Scuola 
Superiore Sant’Anna Pisa, Italy
Florian Röhrbein, Technical University of  Munich, Munich, 
Marc-Oliver Gewaltig, École Polytechnique Fédérale de 
Lausanne, Lausanne, Switzerland
Paul Levi, Research Center for Information 
Technology,Karlsruhe, Germany
Stefan Ulbrich Research Center for Information 
Technology,Karlsruhe, Germany

Egidio Falotico
Computer Scientist
PhD in BioRobotics
PhD in Cognitive Science

The BioRobotics Institute
Polo Sant'Anna Valdera - Scuola Superiore Sant'Anna
Viale Rinaldo Piaggio, 34 - 56025 - Pontedera (PI) - Italy

Phone: +39 050 883 457
e-mail: e.falotico at sssup.it

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