Biophysically realistic neural-network models of auditory neurons and synapses for neuroscience and machine-hearing applications
- Author
- Sarah Verhulst (UGent) , Fotios Drakopoulos, Arthur Van Den Broucke and Deepak Baby (UGent)
- Organization
- Project
-
- RobSpear (Speech Encoding in Impaired Hearing)
- Automatic and individualized bio-inspired hearing technologies.
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-8742310
- MLA
- Verhulst, Sarah, et al. “Biophysically Realistic Neural-Network Models of Auditory Neurons and Synapses for Neuroscience and Machine-Hearing Applications.” JOURNAL OF COMPUTATIONAL NEUROSCIENCE, vol. 49, no. Suppl. 1, 2021, pp. S30–31.
- APA
- Verhulst, S., Drakopoulos, F., Van Den Broucke, A., & Baby, D. (2021). Biophysically realistic neural-network models of auditory neurons and synapses for neuroscience and machine-hearing applications. JOURNAL OF COMPUTATIONAL NEUROSCIENCE, 49(Suppl. 1), S30–S31.
- Chicago author-date
- Verhulst, Sarah, Fotios Drakopoulos, Arthur Van Den Broucke, and Deepak Baby. 2021. “Biophysically Realistic Neural-Network Models of Auditory Neurons and Synapses for Neuroscience and Machine-Hearing Applications.” In JOURNAL OF COMPUTATIONAL NEUROSCIENCE, 49:S30–31.
- Chicago author-date (all authors)
- Verhulst, Sarah, Fotios Drakopoulos, Arthur Van Den Broucke, and Deepak Baby. 2021. “Biophysically Realistic Neural-Network Models of Auditory Neurons and Synapses for Neuroscience and Machine-Hearing Applications.” In JOURNAL OF COMPUTATIONAL NEUROSCIENCE, 49:S30–S31.
- Vancouver
- 1.Verhulst S, Drakopoulos F, Van Den Broucke A, Baby D. Biophysically realistic neural-network models of auditory neurons and synapses for neuroscience and machine-hearing applications. In: JOURNAL OF COMPUTATIONAL NEUROSCIENCE. 2021. p. S30–1.
- IEEE
- [1]S. Verhulst, F. Drakopoulos, A. Van Den Broucke, and D. Baby, “Biophysically realistic neural-network models of auditory neurons and synapses for neuroscience and machine-hearing applications,” in JOURNAL OF COMPUTATIONAL NEUROSCIENCE, Online, 2021, vol. 49, no. Suppl. 1, pp. S30–S31.
@inproceedings{8742310,
author = {{Verhulst, Sarah and Drakopoulos, Fotios and Van Den Broucke, Arthur and Baby, Deepak}},
booktitle = {{JOURNAL OF COMPUTATIONAL NEUROSCIENCE}},
issn = {{0929-5313}},
language = {{eng}},
location = {{Online}},
number = {{Suppl. 1}},
pages = {{S30--S31}},
title = {{Biophysically realistic neural-network models of auditory neurons and synapses for neuroscience and machine-hearing applications}},
volume = {{49}},
year = {{2021}},
}