I am reading the different tutorials proposed here, notably Chapter 4 about PointNet. It is said in the "Building the recurrent (l4 --> l4) network" cell, that for the different type of connections you rely on ExctoExc.json, InhtoInh.json, ExctoInh.json and InhtoExc.json files for the dynamics params argument in add_edge call. These files each contain a dictionary specifying the receptor types (1,2,3 or 4), and this parameters refers to the synapse location in NEST (see section Receptor type).
My question is about the InhtoInh.json (receptor type: 4) and ExctoInh.json (receptor type:3) files which refer in NEST to proximal dendrite synapses location. Can you explain me why in PointNet (which uses point neuron models with no dimension right?) we use receptor type targeting proximal dendrites?
Hi,
I am reading the different tutorials proposed here, notably Chapter 4 about PointNet. It is said in the "Building the recurrent (l4 --> l4) network" cell, that for the different type of connections you rely on ExctoExc.json, InhtoInh.json, ExctoInh.json and InhtoExc.json files for the dynamics params argument in add_edge call. These files each contain a dictionary specifying the receptor types (1,2,3 or 4), and this parameters refers to the synapse location in NEST (see section Receptor type). My question is about the InhtoInh.json (receptor type: 4) and ExctoInh.json (receptor type:3) files which refer in NEST to proximal dendrite synapses location. Can you explain me why in PointNet (which uses point neuron models with no dimension right?) we use receptor type targeting proximal dendrites?
Thank you for your help!
Best, Julien