The Nengo team
is pleased to announce the release of Nengo 2.0,
a Python library for building and simulating
large-scale neural models.
Nengo can create sophisticated neural simulations
with sensible defaults in few lines of code,
yet is extensible and flexible enough to
use spiking and non-spiking neuron types
in the same model, get input directly
from hardware, drive robots,
and simulate models on diverse computing resources.
This is the first release of Nengo that is implemented
entirely in Python, and integrates
well with tools like Matplotlib and IPython.
Currently, it is designed to be used programmatically,
but a browser-based graphical interface is under active development.
Nengo has support for models using the following neuron types,
which can be combined in the same model.
- Rectified linear
- Leaky integrate-and-fire (spiking and non-spiking)
- Adaptive leaky integrate-and-fire (spiking and non-spiking)
- Direct mode (in which mathematical functions are computed directly, rather than approximated from neural activity)
Nengo does not require online learning
in the form of synaptic weight changes;
however, learning rules do exist for situations when
the objective function is not known ahead of time.
Nengo has support for the following learning rules:
- PES rule (minimizes an error signal)
- BCM rule
- Oja rule
See the documentation
for more details and example usage.
Changes in Nengo 2.0
Nengo 2.0 is a completely new code base
that implements all commonly used features
of Nengo 1.4.
Centre for Theoretical Neuroscience, University of Waterloo
We are recruiting for a theoretical neuroscientist interested in building large-scale functional brain models. The successful candidate will become an integral part of the team that has built the world's largest functional brain model, Spaun. This work was published in Science, and received coverage around the world on CNN, BBC, CBC, and hundreds of other outlets. We are building the next generation of computational platforms to run such models. This position will focus on using supercomputers (e.g., IBM BlueGene) to run models written in the Nengo environment. Nengo is a general neural simulation environment that, in addition to Spaun, has been used to simulate adaptive arm controllers, state-of-the-art vision systems, natural language processors, reinforcement learners, and novel robotic controllers among many other projects. Postdocs will be encouraged to pursue their research program with these state-of-the-art tools.
Qualifications: PhD in theoretical neuroscience or related field; experience with MPI, BlueGene, or other HPC environments desirable; python experience an asset.
Start date: As soon as a suitable candidate is found
Submit: CV, statement of research interests, three references
Duration: 1 year renewable for a 2nd year
Lab: CNRG http://compneuro.uwaterloo.ca/
Contact: firstname.lastname@example.org (Chris Eliasmith)
Funding for the position will be provided by TalentEdge and a corporate sponsor.
Chris Eliasmith has just been named an inaugural member of the Royal Society of Canada’s College of New Scholars. The inaugural cohort is 92 top faculty members from across Canada. Chris is a pioneering figure in the rapidly developing field of theoretical neuroscience. His most visible contribution has been in the development of Spaun, the world’s largest functional model of the brain. Spaun has garnered wide acclaim, both in the academy and in the popular press. Behind Spaun’s success is a deeply influential body of work implementing an innovative approach to the problem of how brains encode meaning.
College Member Citations 2014
Official press release - Sept. 16, 2014
Chris is a professor in the Philosophy department and Systems Design Engineering. He is also the director of the Centre for Theoretical Neuroscience and a Canada Research Chair in Theoretical Neuroscience.
Our friends in the
Computer Architecture Group
at the University of Cambridge
have Nengo running on an FPGA board
with a multi-touch screen.
Here's a demo in which they
do character recognition
quickly and accurately!
The province of Ontario's
initiative hosted an event called "What Matters Now" in Hamilton.
Our very own Chris Eliasmith was invited to
speak about our work at the CNRGlab.
Skip to 35:50 for Chris's talk.