I have time dependent practical data of neuron system. This is a spiking data. I like to calculate synaptic weight with time between two neuron. I have input signal and output signal, which are experimentally measure with time. Any one can suggest that how i can calculate synaptic weight and is there any way that can tell me about synaptic plasticity?
Well that way I understand it you have to model it eg with a Bayesian network or a neural network that can learn the weights between neurons based on the neurons' ';random variable
Dear Sarpras
calculate SW from activity level is equivalent to reconstruct the network. This is, in my opinion, a very relevant inverse problem. You can refer to the article below which deals with such problem using information theory tools. Good luck Luis
https://www.researchgate.net/publication/236166415_Coarse-grain_reconstruction_of_genetic_networks_from_expression_levels
Article Coarse-grain reconstruction of genetic networks from expression levels
D.B. Jani Can you please mention the name of the article you referred ? the link is perhaps broken.
- Badges
- Science topic