A problem about the strength of the synaptic weight

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spike bush

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Oct 31, 2017, 11:22:20 PM10/31/17
to CARLsim: A GPU-accelerated Spiking Neural Network (SNN) Simulator
Hello everyone,
         As we all know , the parameters we use in CARLsim are dimensionless quantity.When I want to use the real parameter ,how should I convert it.For example ,The value of my real device is 10 Kilohm ,When I want to use it in CARLsim , How much I should set the connection of the synaptic weight ,like 0.1f ,or 1.0 f ..

kashyaph

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Nov 5, 2017, 5:29:15 PM11/5/17
to CARLsim: A GPU-accelerated Spiking Neural Network (SNN) Simulator
Hi, that's a matter of scaling. You can try different scaling factors of the parameters as long as they do not saturate or under-excite the neurons, i.e. the linear slope part of the tuning curves. Another approach would be to first make a rate model of your system and then convert it to a spike model. This is easy for simple models, such as LIF, which is now supported by CARLsim4. 

For further on how to do that, you can read Chapter 7 of Dayan and Abbott Theoretical Neuroscience book or this paper:

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