Publication:
Meta-learning families of plasticity rules in recurrent spiking networks using simulation-based inference
Date
| dc.contributor.author | Confavreux, Basile | |
| dc.contributor.author | Ramesh, Poornima | |
| dc.contributor.author | Goncalves, Pedro | |
| dc.contributor.author | Macke, Jakob H. | |
| dc.contributor.author | Vogels, Tim P. | |
| dc.contributor.imecauthor | Goncalves, Pedro | |
| dc.date.accessioned | 2024-09-02T12:15:52Z | |
| dc.date.available | 2024-08-15T18:46:43Z | |
| dc.date.available | 2024-09-02T12:15:52Z | |
| dc.date.issued | 2023 | |
| dc.description.wosFundingText | We thank Chaitanya Chintaluri, Everton Agnes, Nicoleta Condruz, Douglas Feitosa Tome, Michael Deistler and Jan Boelts for helpful discussions and feedback on the manuscript. This work was funded by the European Research Council (ERC consolidator grant SYNAPSEEK), the German Research Foundation (DFG; Germany's Excellence Strategy MLCoE -EXC number 2064/1 PN 390727645), the German Federal Ministry of Education and Research (BMBF; Tubingen AI Center, FKZ: 01IS18039A), the Human Frontier in Science Program (RGY0076/2018) and the FENS-Kavli Network of Excellence scientific exchange program. This research was supported by the Scientific Service Units (SSU) of IST Austria through resources provided by Scientific Computing (SciComp). | |
| dc.identifier.issn | 1049-5258 | |
| dc.identifier.uri | https://imec-publications.be/handle/20.500.12860/44304 | |
| dc.publisher | NEURAL INFORMATION PROCESSING SYSTEMS (NIPS) | |
| dc.source.conference | 37th Conference on Neural Information Processing Systems (NeurIPS) | |
| dc.source.conferencedate | DEC 10-16, 2023 | |
| dc.source.conferencelocation | New Orleans | |
| dc.source.journal | N/A | |
| dc.source.numberofpages | 14 | |
| dc.subject.keywords | SYNAPTIC PLASTICITY | |
| dc.subject.keywords | CONNECTIVITY | |
| dc.subject.keywords | INHIBITION | |
| dc.subject.keywords | EXCITATION | |
| dc.subject.keywords | MODEL | |
| dc.title | Meta-learning families of plasticity rules in recurrent spiking networks using simulation-based inference | |
| dc.type | Proceedings paper | |
| dspace.entity.type | Publication | |
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