Buchumschlag

Simulation-based Inference for model parameterization on analog neuromorphic hardware

The BrainScaleS-2 (BSS-2) system implements physical models of neurons as well as synapses and aims for an energy-efficient and fast emulation of biological neurons. When replicating neuroscientific experiment results, a major challenge is finding suitable model parameters. This study investigates t...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Kaiser, Jakob (VerfasserIn) , Stock, Raphael (VerfasserIn) , Müller, Eric (VerfasserIn) , Schemmel, Johannes (VerfasserIn) , Schmitt, Sebastian (VerfasserIn)
Dokumenttyp: Article (Journal) Kapitel/Artikel
Sprache:Englisch
Veröffentlicht: August 27, 2023
In: Arxiv
Year: 2023, Pages: 1-10
DOI:10.48550/arXiv.2303.16056
Online-Zugang:Verlag, kostenfrei, Volltext: https://doi.org/10.48550/arXiv.2303.16056
Verlag, kostenfrei, Volltext: http://arxiv.org/abs/2303.16056
Volltext
Verfasserangaben:Jakob Kaiser, Raphael Stock, Eric Müller, Johannes Schemmel, and Sebastian Schmitt

MARC

LEADER 00000caa a2200000 c 4500
001 1860620604
003 DE-627
005 20240307052322.0
007 cr uuu---uuuuu
008 231002s2023 xx |||||o 00| ||eng c
024 7 |a 10.48550/arXiv.2303.16056  |2 doi 
035 |a (DE-627)1860620604 
035 |a (DE-599)KXP1860620604 
035 |a (OCoLC)1425210750 
040 |a DE-627  |b ger  |c DE-627  |e rda 
041 |a eng 
084 |a 29  |2 sdnb 
100 1 |a Kaiser, Jakob  |e VerfasserIn  |0 (DE-588)1242504362  |0 (DE-627)1772418447  |4 aut 
245 1 0 |a Simulation-based Inference for model parameterization on analog neuromorphic hardware  |c Jakob Kaiser, Raphael Stock, Eric Müller, Johannes Schemmel, and Sebastian Schmitt 
264 1 |c August 27, 2023 
300 |a 10 
336 |a Text  |b txt  |2 rdacontent 
337 |a Computermedien  |b c  |2 rdamedia 
338 |a Online-Ressource  |b cr  |2 rdacarrier 
500 |a Gesehen am 02.10.2023 
520 |a The BrainScaleS-2 (BSS-2) system implements physical models of neurons as well as synapses and aims for an energy-efficient and fast emulation of biological neurons. When replicating neuroscientific experiment results, a major challenge is finding suitable model parameters. This study investigates the suitability of the sequential neural posterior estimation (SNPE) algorithm for parameterizing a multi-compartmental neuron model emulated on the BSS-2 analog neuromorphic hardware system. In contrast to other optimization methods such as genetic algorithms or stochastic searches, the SNPE algorithms belongs to the class of approximate Bayesian computing (ABC) methods and estimates the posterior distribution of the model parameters; access to the posterior allows classifying the confidence in parameter estimations and unveiling correlation between model parameters. In previous applications, the SNPE algorithm showed a higher computational efficiency than traditional ABC methods. For our multi-compartmental model, we show that the approximated posterior is in agreement with experimental observations and that the identified correlation between parameters is in agreement with theoretical expectations. Furthermore, we show that the algorithm can deal with high-dimensional observations and parameter spaces. These results suggest that the SNPE algorithm is a promising approach for automating the parameterization of complex models, especially when dealing with characteristic properties of analog neuromorphic substrates, such as trial-to-trial variations or limited parameter ranges. 
650 4 |a Computer Science - Neural and Evolutionary Computing 
700 1 |a Stock, Raphael  |e VerfasserIn  |0 (DE-588)1261812859  |0 (DE-627)1809109760  |4 aut 
700 1 |a Müller, Eric  |e VerfasserIn  |0 (DE-588)1068657049  |0 (DE-627)820573108  |0 (DE-576)427988543  |4 aut 
700 1 |a Schemmel, Johannes  |e VerfasserIn  |0 (DE-588)1025834607  |0 (DE-627)72488291X  |0 (DE-576)370821440  |4 aut 
700 1 |a Schmitt, Sebastian  |d 1983-  |e VerfasserIn  |0 (DE-588)1028090927  |0 (DE-627)730337332  |0 (DE-576)375620486  |4 aut 
773 0 8 |i Enthalten in  |t Arxiv  |d Ithaca, NY : Cornell University, 1991  |g (2023), Artikel-ID 2303.16056, Seite 1-10  |h Online-Ressource  |w (DE-627)509006531  |w (DE-600)2225896-6  |w (DE-576)28130436X  |7 nnas  |a Simulation-based Inference for model parameterization on analog neuromorphic hardware 
773 1 8 |g year:2023  |g elocationid:2303.16056  |g pages:1-10  |g extent:10  |a Simulation-based Inference for model parameterization on analog neuromorphic hardware 
787 0 8 |i Forschungsdaten  |a Kaiser, Jakob  |t Simulation-based inference for model parameterization on analog neuromorphic hardware [data]  |d Heidelberg : Universität, 2023  |h 1 Online-Ressource (2 Files)  |w (DE-627)1860618820 
856 4 0 |u https://doi.org/10.48550/arXiv.2303.16056  |x Verlag  |x Resolving-System  |z kostenfrei  |3 Volltext 
856 4 0 |u http://arxiv.org/abs/2303.16056  |x Verlag  |z kostenfrei  |3 Volltext 
951 |a AR 
992 |a 20231002 
993 |a Article 
994 |a 2023 
998 |g 1028090927  |a Schmitt, Sebastian  |m 1028090927:Schmitt, Sebastian  |d 130000  |e 130000PS1028090927  |k 0/130000/  |p 5  |y j 
998 |g 1025834607  |a Schemmel, Johannes  |m 1025834607:Schemmel, Johannes  |d 130000  |d 130700  |d 130000  |e 130000PS1025834607  |e 130700PS1025834607  |e 130000PS1025834607  |k 0/130000/  |k 1/130000/130700/  |k 0/130000/  |p 4 
998 |g 1068657049  |a Müller, Eric  |m 1068657049:Müller, Eric  |d 130000  |d 130700  |e 130000PM1068657049  |e 130700PM1068657049  |k 0/130000/  |k 1/130000/130700/  |p 3 
998 |g 1261812859  |a Stock, Raphael  |m 1261812859:Stock, Raphael  |d 130000  |e 130000PS1261812859  |k 0/130000/  |p 2 
998 |g 1242504362  |a Kaiser, Jakob  |m 1242504362:Kaiser, Jakob  |d 130000  |d 130700  |e 130000PK1242504362  |e 130700PK1242504362  |k 0/130000/  |k 1/130000/130700/  |p 1  |x j 
999 |a KXP-PPN1860620604  |e 4380578828 
BIB |a Y 
JSO |a {"relHost":[{"physDesc":[{"extent":"Online-Ressource"}],"id":{"zdb":["2225896-6"],"eki":["509006531"]},"origin":[{"dateIssuedKey":"1991","publisher":"Cornell University ; Arxiv.org","dateIssuedDisp":"1991-","publisherPlace":"Ithaca, NY ; [Erscheinungsort nicht ermittelbar]"}],"part":{"text":"(2023), Artikel-ID 2303.16056, Seite 1-10","extent":"10","year":"2023","pages":"1-10"},"titleAlt":[{"title":"Arxiv.org"},{"title":"Arxiv.org e-print archive"},{"title":"Arxiv e-print archive"},{"title":"De.arxiv.org"}],"pubHistory":["1991 -"],"language":["eng"],"recId":"509006531","disp":"Simulation-based Inference for model parameterization on analog neuromorphic hardwareArxiv","type":{"bibl":"edited-book","media":"Online-Ressource"},"note":["Gesehen am 28.05.2024"],"title":[{"title_sort":"Arxiv","title":"Arxiv"}]}],"physDesc":[{"extent":"10 S."}],"name":{"displayForm":["Jakob Kaiser, Raphael Stock, Eric Müller, Johannes Schemmel, and Sebastian Schmitt"]},"id":{"doi":["10.48550/arXiv.2303.16056"],"eki":["1860620604"]},"origin":[{"dateIssuedDisp":"August 27, 2023","dateIssuedKey":"2023"}],"language":["eng"],"recId":"1860620604","note":["Gesehen am 02.10.2023"],"type":{"bibl":"chapter","media":"Online-Ressource"},"person":[{"display":"Kaiser, Jakob","roleDisplay":"VerfasserIn","role":"aut","family":"Kaiser","given":"Jakob"},{"role":"aut","display":"Stock, Raphael","roleDisplay":"VerfasserIn","given":"Raphael","family":"Stock"},{"given":"Eric","family":"Müller","role":"aut","roleDisplay":"VerfasserIn","display":"Müller, Eric"},{"family":"Schemmel","given":"Johannes","roleDisplay":"VerfasserIn","display":"Schemmel, Johannes","role":"aut"},{"family":"Schmitt","given":"Sebastian","roleDisplay":"VerfasserIn","display":"Schmitt, Sebastian","role":"aut"}],"title":[{"title_sort":"Simulation-based Inference for model parameterization on analog neuromorphic hardware","title":"Simulation-based Inference for model parameterization on analog neuromorphic hardware"}]} 
SRT |a KAISERJAKOSIMULATION2720 

Ähnliche Einträge