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Adaptive Stimulus Design for Dynamic Recurrent Neural Network Models
We present an adaptive stimulus design method for efficiently estimating the parameters of a dynamic recurrent network model with interacting excitatory and inhibitory neuronal populations. Although stimuli that are optimized for model parameter estimation should, in theory, have advantages over non...
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| Veröffentlicht in: | Front Neural Circuits |
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| Hauptverfasser: | , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Frontiers Media S.A.
2019
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6349832/ https://ncbi.nlm.nih.gov/pubmed/30723397 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fncir.2018.00119 |
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