McCulloch-Pitts or Boolean neurons in NEURON?
Posted: Wed Feb 17, 2021 2:49 pm
I am collaborating with a biologist who would like to incorporate Boolean switching elements (like McCulloch-Pitts units) into a network model.
Is there an artificial cell that has a 2-state (or n-state) discrete "membrane potential", e.g. V is either 0 or 1; the artificial cell can receive inputs (e.g. via a NetCon or similar), it can change state based on those inputs; and when the cell is in state 1 it continuously emits an "on" signal that can be read by other cells (it could open a synaptic conductance in another cell, for example)? What I am hoping to do is different from any of the integrate-and-fire models, which only send a "spike" signal once when the spike is triggered.
If I need to introduce a fundamentally new kind of artificial cell, can I do that with NMODL or do I need to change something deeper in NEURON's core logic?
Is there an artificial cell that has a 2-state (or n-state) discrete "membrane potential", e.g. V is either 0 or 1; the artificial cell can receive inputs (e.g. via a NetCon or similar), it can change state based on those inputs; and when the cell is in state 1 it continuously emits an "on" signal that can be read by other cells (it could open a synaptic conductance in another cell, for example)? What I am hoping to do is different from any of the integrate-and-fire models, which only send a "spike" signal once when the spike is triggered.
If I need to introduce a fundamentally new kind of artificial cell, can I do that with NMODL or do I need to change something deeper in NEURON's core logic?