network with biophysical and artificial neurons
Posted: Tue Sep 15, 2015 11:11 am
I've been working some with the network laid out by Destexhe in "Spike-and-Wave Oscillations Based on the Properties of GABAB Receptors." There are 4 layers of 100 biophysical cells (cortical excitatory and inhibitory, thalamocortical and thalmic reticular nucleus) connected by saturating GABAa, GABAb, and AMPA synapses (as described in the neuron book in section 10.1.7). To speed up the network, I wanted to replace some of the cortical cells with point process Izhikevich neurons.
I would like to keep the saturating synapses, each of which is a point process that generates a current, and use them as inputs to the Izhikevich neurons, which are also point processes with an Iin term for synaptic input. Is there an intuitive way to do this? I apologize if it's a question that has an obvious answer or if it's something that no one in their right mind would try to do. I'm also happy to provide more information if it would help answer the question.
Thanks,
Andrew
I would like to keep the saturating synapses, each of which is a point process that generates a current, and use them as inputs to the Izhikevich neurons, which are also point processes with an Iin term for synaptic input. Is there an intuitive way to do this? I apologize if it's a question that has an obvious answer or if it's something that no one in their right mind would try to do. I'm also happy to provide more information if it would help answer the question.
Thanks,
Andrew