Dear Benedikt
- Are there any implementations for tonic neuron input, that means an
additional Neuron input channel that mulitplies with all synaptic inputs?
We don't have an implementation that does this, but I don't see any reason why you can't make your own. The most effective way to do this is using NESTML, then you don't have to worry about C++ or numerics. A brief description of NESTML with links to publications and Github is here:
https://www.fz-juelich.de/ias/jsc/EN/Expertise/SimLab/slns/research/nestml/_...
we are happy to support you in using this.
- Can synaptic weights be normalized, in particular keeping the sum of
all inputs of a single neuron equal to 1?
This is tricky. We did implement something close to this for a paper: https://www.frontiersin.org/articles/10.3389/fncom.2010.00160/full
but we did not merge the infrastructure changes with master, because we felt it wasn't general enough. Making a general version would be a large, complicated job. As a workaround, you could consider running your simulation in small time segments, and after each segment you can read-out, sum and normalise the incoming weights for each neuron 'manually' from your simulation script. For a small network this will work fine, but it won't scale.
All the best,
Abigail
-- Prof. Dr. Abigail Morrison
IAS-6 / INM-6 / SimLab Neuroscience Jülich Research Center
&
Institute of Cognitive Neuroscience Ruhr-University Bochum
http://www.fz-juelich.de/inm/inm-6 http://www.fz-juelich.de/ias/jsc/slns http://www.ikn.psy.ruhr-uni-bochum.de
Office: +49 2461 61-9805 Fax # : +49 2461 61-9460
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Abigail Morrison