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Quite unique. Looks like something that was originally implemented for some non-NEURON simulation environment, or maybe some programming language. Was this originally published somewhere, or does it exist in some widely accessible code library? It must assume a very specific fixed time step, and it ...

it has no NET_RECIEVE NET_RECEIVE. Isn't there an equivalent event-driven mechanism that you could use? How can I send an array (which contains the presynaptic potential of each time step) to the synapse (response to potential/voltage)? Are you inextricably committed to such an approach, i.e. havin...

tpre is the time of the most recent presynaptic spike.
tpost is the time of the most recent postsynaptic spike.
t is the current time.

whether the methods you prescribed would function for an AC electrode rather than a single direct current Think about the underlying physics and consider these questions: Given a conductive medium, what would make the electrical potential vary with position? What are the assumptions about the physi...

There are several ways to implement a (computational) experimental protocol that involves parameter changes. One is to use the Vector class's play() method. Another is to use events to force parameter changes at specific times. See How to change parameters during a simulation in the Hot tips area of...

is it possible to implement a NetCon whose weight is time dependent. This is generally not what people want to do. Usually they want an event-driven point process whose response to an event will vary from event to event. The most typical case is synaptic plasticity, e.g. short term synaptic facilit...

Does this pertain to the hoc code used in your other post "added a synapse with python"

I get an error when trying to add the synapse. What are you doing to "add the synapse"? In addition, when I load the hoc file I can't load the morphology of the cell. Not sure what this means. As soon as you create an instance of either of the cell classes defined in your example code, th...

Try getting something working on a real simple toy model with just a couple of sections and minimal membrane properties at the top level (not wrapped in a class definition). Use nothing but hoc at first. Then try calling it from python. After that, if your real application involves a section that be...

You've got the general idea. However 1. Every pass through the for i=0,50 loop overwrites the same objref (stimvec, which is synonymous with stimvec[0]). Consequently e_extracelluar will have the same value in all segments. 2. Code that uses whole numbers to iterate over segments doesn't scale well....

Absolutely, but it requires executing user-written code. The Network Builder is a great tool for creating small prototype models that involve only a few cells. Several simplifying assumptions are built into it. One is that, if the presynaptic cell is a biophysical model cell (that is, has sections),...

Interesting problem. Regarding varying membrane capacitance: First see https://www.neuron.yale.edu/phpBB/viewtopic.php?p=15854#p15854 and the reply by Michael Hines. Then check out this entry in GitHub https://github.com/nrnhines/dcmdt . Finally, it might be useful to examine modeldb.yale.edu/264539...

This note is primarily for others who may read this thread. Using NMODL for "data processing on the fly" raises several potential issues. 1. In this particular application, the sequence of execution of NMODL-specified mechanisms is important. Clearly all mechanisms that WRITE ica must be e...

I begin to see your problem. I thought you were working with some generic optimization library that you could just feed some postprocessed data after a simulation was complete. Instead, you're probably using to recreate a Multiple Run Fitter, right?

Thanks for following up with the fix for that!