Record link: 
http://hdl.handle.net/20.500.12708/223683
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Title: 
Benchmarking Predictive Coding Networks - Made Simple
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Citation: 
Pinchetti, L., Qi, C., Lokshyn, O., Emde, C., M’Charrak, A., Tang, M., Simon, F., Menzat, B. I., Oliviers, G., Bogacz, R., Lukasiewicz, T., & Salvatori, T. (2025). Benchmarking Predictive Coding Networks - Made Simple. In The Thirteenth International Conference on Learning Representations (ICLR 2025), Singapore, April 24-28, 2025. Thirteenth International Conference on Learning Representations (ICLR 2025), Singapore. http://hdl.handle.net/20.500.12708/223683
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Publication Type: 
Inproceedings - Full-Paper Contribution
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Language: 
English
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Authors: 
Pinchetti, Luca 
Qi, Chang 
Lokshyn, Oleh 
Emde, Cornelius 
M'Charrak, Amine 
Tang, Mufeng 
Simon, Frieder 
Menzat, Bayar Ilhan 
Oliviers, Gaspard 
Bogacz, Rafal 
Lukasiewicz, Thomas 
Salvatori, Tommaso 
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Organisational Unit: 
E192-07 - Forschungsbereich Artificial Intelligence Techniques 
E192-03 - Forschungsbereich Knowledge Based Systems 
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Published in: 
The Thirteenth International Conference on Learning Representations (ICLR 2025), Singapore, April 24-28, 2025 
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Date (published): 
2025
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Event name: 
Thirteenth International Conference on Learning Representations (ICLR 2025) 
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Event date: 
24-Apr-2025 - 28-Apr-2025
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Event place: 
Singapore
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Number of Pages: 
34
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Peer reviewed: 
Yes
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Keywords: 
cognitive science; predictive coding; computational neuroscience
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Research Areas: 
Information Systems Engineering: 100%
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Science Branch: 
1020 - Informatik: 80%
1010 - Mathematik: 20%
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Appears in Collections:
Conference Paper

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