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An attempt to fit all parameters of a dynamical recurrent neural network from sensory neural spiking data

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113 days ago
An attempt to fit all parameters of a dynamical recurrent neural network from sensory neural spiking data https://t.co/S9uhLraEBj
An attempt to fit all parameters of a dynamical recurrent neural network from sensory neural spiking data https://t.co/FqhGAL8Fdu
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Supplemental Information

Variation of the mean square errors of estimation (\%E) associated with each parameter in against stimulus amplitude parameter $ A_{\max} $

DOI: 10.7287/peerj.preprints.27015v1/supp-1

Variation of the percent errors of estimation (\%E) associated with each parameter in against stimulus amplitude parameter $ A_{\max} $

DOI: 10.7287/peerj.preprints.27015v1/supp-2

Variation of the percent errors of estimation (\%E) associated with each parameter in \against stimulus base frequency $ f_{0} $ (in Hz)

DOI: 10.7287/peerj.preprints.27015v1/supp-3

Variation of the percent errors of estimation (\%E) associated with each parameter in against sample size $ N_{it} $

DOI: 10.7287/peerj.preprints.27015v1/supp-4

Variation of the mean square errors of estimation (\%E) associated with each parameter in against sample size $ N_{it} $

DOI: 10.7287/peerj.preprints.27015v1/supp-5

Variation of the percent errors of estimation (\%E) associated with each parameter in against stimulus component size $ N_U $

DOI: 10.7287/peerj.preprints.27015v1/supp-6

Variation of the mean square errors of estimation (MSE) associated with each parameter in against stimulus base frequency $ f_{0} $ (in Hz)

DOI: 10.7287/peerj.preprints.27015v1/supp-9

Variation of the mean square errors of estimation (\%E) associated with each parameter in against stimulus component size $ N_U $

DOI: 10.7287/peerj.preprints.27015v1/supp-10

Additional Information

Competing Interests

The authors declare that they have no competing interests.

Author Contributions

Ozgur Doruk conceived and designed the experiments, performed the experiments, analyzed the data, contributed reagents/materials/analysis tools, prepared figures and/or tables, authored or reviewed drafts of the paper, approved the final draft, inclusion of sigmoidal gain functions in estimation procedure..

Kechen Zhang analyzed the data, prepared figures and/or tables, authored or reviewed drafts of the paper.

Data Deposition

The following information was supplied regarding data availability:

There are certain matlab codes that generate the data. master.m: main file, jhujed_obj.m: objective used by fmincon.m

Funding

The authors received no funding for this work. But the computational tools are provided by TUBITAK-ULAKBIM.


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