Simulation-based Inference for Model Parameterization on Analog Neuromorphic Hardware [data] (doi:10.11588/data/AVFF2E)

View:

Part 1: Document Description
Part 2: Study Description
Part 5: Other Study-Related Materials
Entire Codebook

(external link)

Document Description

Citation

Title:

Simulation-based Inference for Model Parameterization on Analog Neuromorphic Hardware [data]

Identification Number:

doi:10.11588/data/AVFF2E

Distributor:

heiDATA

Date of Distribution:

2023-09-28

Version:

1

Bibliographic Citation:

Kaiser, Jakob; Stock, Raphael; Müller, Eric; Schemmel, Johannes; Schmitt, Sebastian, 2023, "Simulation-based Inference for Model Parameterization on Analog Neuromorphic Hardware [data]", https://doi.org/10.11588/data/AVFF2E, heiDATA, V1

Study Description

Citation

Title:

Simulation-based Inference for Model Parameterization on Analog Neuromorphic Hardware [data]

Identification Number:

doi:10.11588/data/AVFF2E

Authoring Entity:

Kaiser, Jakob (Heidelberg University, Kirchhoff Institute for Physics)

Stock, Raphael (Heidelberg University, Kirchhoff Institute for Physics)

Müller, Eric (Heidelberg University, European Institute for Neuromorphic Computing)

Schemmel, Johannes (Heidelberg University, Kirchhoff Institute for Physics)

Schmitt, Sebastian (University Medical Center Göttingen, Department for Neuro- and Sensory Physiology)

Grant Number:

604102 (HBP)

Grant Number:

720270 (HBP SGA1)

Grant Number:

85907 (HBP SGA2)

Grant Number:

945539 (HBP SGA3)

Grant Number:

EXC 2181/1-390900948

Grant Number:

EXC 2181/1-390900948

Distributor:

heiDATA

Access Authority:

Kaiser, Jakob

Date of Distribution:

2023-09-13

Holdings Information:

https://doi.org/10.11588/data/AVFF2E

Study Scope

Keywords:

Physics, analog, neuromorphic, simulation-based inference, multi-compartment

Abstract:

This data is presented in the paper "Simulation-based Inference for Model Parameterization on Analog Neuromorphic Hardware".

Methodology and Processing

Sources Statement

Data Access

Other Study Description Materials

Related Publications

Citation

Title:

Jakob Kaiser et al 2023 Neuromorph. Comput. Eng. 3 044006

Identification Number:

10.1088/2634-4386/ad046d

Bibliographic Citation:

Jakob Kaiser et al 2023 Neuromorph. Comput. Eng. 3 044006

Other Study-Related Materials

Label:

paper_sbi.tar.gz

Notes:

application/gzip

Other Study-Related Materials

Label:

README.md

Notes:

text/markdown