Real-Time spiking I/O for on-chip neural application
This group will focus on developing a neural algorithm that will be simulated on the SpiNNaker boards to interface with the external world through actuators.
Workgroup organization
This workgroup will be divided in two parts:
- The introduction to the SpiNNaker system will be done together with the Real-Time Biologically Realistic Neuromorphic Attention workgroup.
- The definition of the specific project (which will be defined towards the end of the first week) and its implementation.
Running models on spiNNaker using PyNN tutorial
Spiking neural network models can be implemented on the spinnaker without any knowledge about the hardware by using PyNN, a description language for spiking neural networks written in python.
For more information about PyNN visit http://www.neuralensemble.org/trac/PyNN/, talk to me (francesco.galluppi@…) or follow the PyNN tutorial on the FACETS/BrainScaleS workgroup http://capocaccia.ethz.ch/capo/wiki/2011/bsshw11.
As a basic introduction you can download the synfire_example.py on this page http://capocaccia.ethz.ch/capo/attachment/wiki/2011/rta11/synfire_example.py.
