Bioinspired Approach to Modeling Retinal Ganglion Cells Using System Identification Techniques

2018 | journal article. A publication with affiliation to the University of Göttingen.

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​Bioinspired Approach to Modeling Retinal Ganglion Cells Using System Identification Techniques​
Vance, P. J.; Das, G. P.; Kerr, D.; Coleman, S. A.; McGinnity, T. M.; Gollisch, T.   & Liu, J. K. ​ (2018) 
IEEE Transactions on Neural Networks and Learning Systems29(5) pp. 1796​-1808​.​ DOI: https://doi.org/10.1109/TNNLS.2017.2690139 

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Authors
Vance, Philip J.; Das, Gautham P.; Kerr, Dermot; Coleman, Sonya A.; McGinnity, T. Martin; Gollisch, Tim ; Liu, Jian K. 
Issue Date
2018
Journal
IEEE Transactions on Neural Networks and Learning Systems 
ISSN
2162-237X
eISSN
2162-2388
ISSN
2162-237X
eISSN
2162-2388

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