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Greetings,
Thanks for the great system. I am interested in studying the activity of the reservoir units during the time-course of the processing of the input sequence. After training the reservoir we then expose it to a test inputDataTesting
prediction = esn.predict(inputDataTesting)
After this execution, is it possible to have access to the data structure that contains the activations of the reservoir units during the processing of the input? This would be a matrix of NxM where N is the number of reservoir units, and M is the number of time steps during the simulation.
This would be used to analyse the temporal dynamics of the reservoir activity.
Thanks for your help
PF Dominey
(ps - I hope this is an appropriate question for this issue forum - please excuse me if this is out of line)
The text was updated successfully, but these errors were encountered:
Hi,
this is not possible at the moment. But you can easily add this function to the library! Just modify the last line of the predict function` and change it from
Greetings,
Thanks for the great system. I am interested in studying the activity of the reservoir units during the time-course of the processing of the input sequence. After training the reservoir we then expose it to a test inputDataTesting
prediction = esn.predict(inputDataTesting)
After this execution, is it possible to have access to the data structure that contains the activations of the reservoir units during the processing of the input? This would be a matrix of NxM where N is the number of reservoir units, and M is the number of time steps during the simulation.
This would be used to analyse the temporal dynamics of the reservoir activity.
Thanks for your help
PF Dominey
(ps - I hope this is an appropriate question for this issue forum - please excuse me if this is out of line)
The text was updated successfully, but these errors were encountered: