MATLAB Scripts to Simulate the Optimally Designed Stimuli Generation for Excitatory-Inhibitory Neural Network
| Main Author: | Doruk, Ozgur R |
|---|---|
| Format: | Dataset |
| Terbitan: |
Mendeley
, 2018
|
| Subjects: | |
| Online Access: |
https:/data.mendeley.com/datasets/8y5cnf3mkp |
| ctrlnum |
0.17632-8y5cnf3mkp.1 |
|---|---|
| fullrecord |
<?xml version="1.0"?>
<dc><creator>Doruk, Ozgur R</creator><title>MATLAB Scripts to Simulate the Optimally Designed Stimuli Generation for Excitatory-Inhibitory Neural Network</title><publisher>Mendeley</publisher><description>This dataset has the necessary MATLAB codes to simulate an optimal stimulus design process for an excitatory-inhibitory continuous time recurrent neural network. The main code master.m invokes certain functions which are also available in the published dataset. The obtained stimuli are used in parameter estimation of the network. The related code segments are also available in the master.m file which uses MATLAB fmincon function to maximize the point process likelihood.
</description><subject>Computational Neuroscience</subject><subject>Biostatistics</subject><subject>Modelling</subject><subject>Poisson Distribution</subject><type>Other:Dataset</type><identifier>10.17632/8y5cnf3mkp.1</identifier><rights>Creative Commons Attribution 4.0 International</rights><rights>http://creativecommons.org/licenses/by/4.0</rights><relation>https:/data.mendeley.com/datasets/8y5cnf3mkp</relation><date>2018-12-03T20:58:03Z</date><recordID>0.17632-8y5cnf3mkp.1</recordID></dc>
|
| format |
Other:Dataset Other |
| author |
Doruk, Ozgur R |
| title |
MATLAB Scripts to Simulate the Optimally Designed Stimuli Generation for Excitatory-Inhibitory Neural Network |
| publisher |
Mendeley |
| publishDate |
2018 |
| topic |
Computational Neuroscience Biostatistics Modelling Poisson Distribution |
| url |
https:/data.mendeley.com/datasets/8y5cnf3mkp |
| contents |
This dataset has the necessary MATLAB codes to simulate an optimal stimulus design process for an excitatory-inhibitory continuous time recurrent neural network. The main code master.m invokes certain functions which are also available in the published dataset. The obtained stimuli are used in parameter estimation of the network. The related code segments are also available in the master.m file which uses MATLAB fmincon function to maximize the point process likelihood.
|
| id |
IOS7969.0.17632-8y5cnf3mkp.1 |
| institution |
Universitas Islam Indragiri |
| affiliation |
onesearch.perpusnas.go.id |
| institution_id |
804 |
| institution_type |
library:university library |
| library |
Teknologi Pangan UNISI |
| library_id |
2816 |
| collection |
Artikel mulono |
| repository_id |
7969 |
| city |
INDRAGIRI HILIR |
| province |
RIAU |
| shared_to_ipusnas_str |
1 |
| repoId |
IOS7969 |
| first_indexed |
2020-04-08T08:11:37Z |
| last_indexed |
2020-04-08T08:11:37Z |
| recordtype |
dc |
| _version_ |
1686587389499146240 |
| score |
17.538404 |