28 Nov
2021
28 Nov
'21
9:56 p.m.
Hi,
Thanks for writing in. Just some questions to make sure I understand it right. Does the
channel opening probability in a given synapse only depend on the history of presynaptic
spikes? In that case, it would be computationally most efficient to compute these
probabilities in the (presynaptic) neuron objects, rather than in the synapses, because
each synapse downstream from that neuron would compute the same probabilities anyway.
It is possible to use the postsynaptic membrane potential to modulate synaptic plasticity,
but this ignores the synaptic delay associated with the connection. For an example, please
see:
https://nestml.readthedocs.io/en/latest/tutorials/active_dendrite/nestml_ac…
It might help if you have a link to the paper, or a full description of the model you
would like to implement.
With kind regards,
Charl
On Thu, Nov 25, 2021, at 15:24, barthelemy wrote:
Dear all,
I am a new NEST user. I have a question concerning the range of neuron/synapses model
possibilities of NEST.
I would like to implement my own neuron/synapse model with NESTML, but I am unsure that
it would be possible.
Indeed, in my model, synaptic currents are not only relying on pre-synaptic spikes. To
compute synaptic currents, the opening probability of pre-synaptic channel receptors are
required.
Those pre-synaptic channel receptors opening probabilities are evolving according to
differential equations involving second order dynamics, with specific decays and taking
into account the pre-synaptic spikes arrivals times at this specific synapse.
Those differential equations for the opening probabilities are relying on different
parameters, according to the neurotransmitter type (GABA A,GABA B, NMDA, AMPA ).
Furthermore, additionally to the input spikes and the pre-synaptic channel receptors
opening probabilities, the current membrane potential of the post-synaptic neuron is also
required to compute the synaptic currents.
Do you know if one of the NEST models implement similar dynamics? Is it possible to
compute such synaptic dynamics with NESTML by creating a synapse or (and) a neuron model?
Or is it not, due to specific limitations?
Thank you,
Best regards,
JB
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