NMDA channel learning rule
Posted: Wed Jan 10, 2007 8:44 am
Hi, I'm a genesis users and I never used neuron.
I would to ask if it's possible to implement in neuron a custom learning rule for a NMDA synpase.
I'm blocked with this problem in genesis for a long time, the problem is that in genesis I have to compile a library to do so, but t I'm the first user to do that, so there are a some problems.
Is it more easy with neuron?
The rule is really simply:
deltaW=[NMDA activity]*Iout
W is the weight of the synapse
NMDA activity is the activity of the synapse
Iout is the current flowing out from the synapse
The weight change is activated with the dopamine signal that in genesis is a an input message.
The weight must be updated for every step of the simulation.
thanks in advance
I would to ask if it's possible to implement in neuron a custom learning rule for a NMDA synpase.
I'm blocked with this problem in genesis for a long time, the problem is that in genesis I have to compile a library to do so, but t I'm the first user to do that, so there are a some problems.
Is it more easy with neuron?
The rule is really simply:
deltaW=[NMDA activity]*Iout
W is the weight of the synapse
NMDA activity is the activity of the synapse
Iout is the current flowing out from the synapse
The weight change is activated with the dopamine signal that in genesis is a an input message.
The weight must be updated for every step of the simulation.
thanks in advance