Workshop on Neural Engineering using Reconfigurable Hardware 2012

Call for Papers

Understanding of the human brain is one of the grand challenges of the 21st century due to the potential to develop new medical solutions and to create novel engineering applications. This has resulted in the emergence of a large and expanding research community focused upon neural engineering. By applying common engineering principles and techniques with neurally-inspired designs and algorithms we are able to learn about the processes within the brain or develop revolutionary applications, such as neuro-prosthetics with the capability to restore sensory, motor or even cognitive functionality.

The motivation provided by the potential results of furthering our understanding of the brain also drives research into next-generation hardware architectures and designs. For example, to develop large-scale models of the brain that demonstrate realistic functionality, and hence allow for simulation of the brain's processes, it is a requirement to improve the current state-of-the-art in computational platforms, in terms of performance, scalability and efficiency. The product of developing these large-scale models may in turn produce ideas and concepts for innovative design practices for engineering applications.

The rapidly evolving nature, high performance requirements and concurrent processes of neural models encourage the utilization of FPGAs in neural engineering. As such, FPGAs have been shown to be used for neural networks, bio-physically accurate iono-neuromorphic models, and hybrid bio-silicon systems.

Therefore, the aim of this workshop is to bring together researchers working on neural engineering who utilize FPGAs, with the goal of providing an opportunity to discuss new ideas, present solutions to neural challenges and to develop proposals for future work. The topics of interest could include:


Alongside regular papers, we encourage the submission of short papers, reviews of the area and details of work in progress.

Short papers detailing works in progress and abstracts of work should be 2-4 pages long. Regular papers may be up to 8 pages in total.

Papers should be formatted as per the guidelines on the FPL2012 website.

Papers may be submitted via the online portal. Alternatively, you can email with your submission or any question regarding the submission process.

All accepted papers will be published online at

Key Dates


The workshop is being held in conjunction with FPL2012 at the University of Oslo, Norway.


Saturday 1st September 2012


If you would like to register for this workshop please email



Terrence Mak
School of Electrical and Electronic Engineering, Newcastle University
Department of Computer Science and Engineering, The Chinese University of Hong Kong

Graeme Coapes
School of Electrical and Electronic Engineering, Newcastle University

Workshop on Neural Engineering using Reconfigurable Hardware in association with FPL2012