Paper Citation Record · LEDGER

Reproduction of AdEx dynamics on neuromorphic hardware through data embedding and simulation-based inference

As of 16 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2412.02437.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2412.02437 v1

Coverage vector

measured 34 of 34 reference resolution

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measured 34 of 34 standing notices

One-hop event checks from named stored sources.

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Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

34 of 34 outbound references displayed

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External citation measurements

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Outbound references

Observation b9d27d13-c172-44f8-8a7b-440faf26a585 · outbound

This paper cites A comparative survey of automated parameter-search methods for compartmental neural models,.

Reproduction of AdEx dynamics on neuromorphic hardware through data embedding and simulation-based inference A comparative survey of automated parameter-search methods for compartmental neural models,

Reference 1

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Observation 667e8dc9-5beb-45a3-8db7-036b24f503cd · outbound

This paper cites Systematic generation of biophysically detailed models for diverse cortical neuron types,.

Reproduction of AdEx dynamics on neuromorphic hardware through data embedding and simulation-based inference Systematic generation of biophysically detailed models for diverse cortical neuron types,

Reference 2

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This paper cites A novel multiple objective optimization framework for constraining conductance- based neuron models by experimental data,.

Reproduction of AdEx dynamics on neuromorphic hardware through data embedding and simulation-based inference A novel multiple objective optimization framework for constraining conductance- based neuron models by experimental data,

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This paper cites Deistler et al.

Reproduction of AdEx dynamics on neuromorphic hardware through data embedding and simulation-based inference Deistler et al

Reference 4

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This paper cites The frontier of simulation-based inference,.

Reproduction of AdEx dynamics on neuromorphic hardware through data embedding and simulation-based inference The frontier of simulation-based inference,

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This paper cites Flexible statistical inference for mechanistic models of neural dynamics,.

Reproduction of AdEx dynamics on neuromorphic hardware through data embedding and simulation-based inference Flexible statistical inference for mechanistic models of neural dynamics,

Reference 6

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Observation 393e7fb6-be0a-4bf9-9552-e0f5f4addb61 · outbound

This paper cites Automatic posterior transformation for likelihood-free inference,.

Reproduction of AdEx dynamics on neuromorphic hardware through data embedding and simulation-based inference Automatic posterior transformation for likelihood-free inference,

Reference 7

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Observation 83186450-a734-4e25-bbd5-208d58745edd · outbound

This paper cites Training deep neural density estimators to identify mechanistic models of neural dynamics,.

Reproduction of AdEx dynamics on neuromorphic hardware through data embedding and simulation-based inference Training deep neural density estimators to identify mechanistic models of neural dynamics,

Reference 8

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This paper cites Truncated proposals for scalable and hassle-free simulation-based inference,.

Reproduction of AdEx dynamics on neuromorphic hardware through data embedding and simulation-based inference Truncated proposals for scalable and hassle-free simulation-based inference,

Reference 9

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Observation 5eb845be-8c6e-4637-b0c2-24a7d7c76c39 · outbound

This paper cites Simulation-based inference for model parameterization on analog neuromorphic hardware,.

Reproduction of AdEx dynamics on neuromorphic hardware through data embedding and simulation-based inference Simulation-based inference for model parameterization on analog neuromorphic hardware,

Reference 10

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Observation cb550abf-5b7a-4656-b9fe-23f59f949d4f · outbound

This paper cites The BrainScaleS-2 accelerated neuro- morphic system with hybrid plasticity,.

Reproduction of AdEx dynamics on neuromorphic hardware through data embedding and simulation-based inference The BrainScaleS-2 accelerated neuro- morphic system with hybrid plasticity,

Reference 11

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Observation 84f29ded-e8e0-4ac0-9b8b-9f1a6d8c327f · outbound

This paper cites An accurate and flexible analog emulation of AdEx neuron dynamics in silicon,.

Reproduction of AdEx dynamics on neuromorphic hardware through data embedding and simulation-based inference An accurate and flexible analog emulation of AdEx neuron dynamics in silicon,

Reference 12

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Observation 33ffffbf-de15-44bc-ae33-db4c7446c906 · outbound

This paper cites Adaptive exponential integrate-and-fire model as an effective description of neuronal activity,.

Reproduction of AdEx dynamics on neuromorphic hardware through data embedding and simulation-based inference Adaptive exponential integrate-and-fire model as an effective description of neuronal activity,

Reference 13

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This paper cites An analog dynamic memory array for neuromorphic hardware,.

Reproduction of AdEx dynamics on neuromorphic hardware through data embedding and simulation-based inference An analog dynamic memory array for neuromorphic hardware,

Reference 14

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Observation 4356d734-d36a-4fe1-a0d7-14913f8adff1 · outbound

This paper cites Fast ε-free inference of simula- tion models with bayesian conditional density estimation,.

Reproduction of AdEx dynamics on neuromorphic hardware through data embedding and simulation-based inference Fast ε-free inference of simula- tion models with bayesian conditional density estimation,

Reference 15

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Observation 27d647d0-e0ae-4ed6-84cb-aa70ecaad138 · outbound

This paper cites Masked autoregressive flow for density estimation,.

Reproduction of AdEx dynamics on neuromorphic hardware through data embedding and simulation-based inference Masked autoregressive flow for density estimation,

Reference 16

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Observation b5bcdfa0-2de6-404f-96ff-9935ba75e843 · outbound

This paper cites Sequential neural likelihood: Fast likelihood-free inference with autoregressive flows,.

Reproduction of AdEx dynamics on neuromorphic hardware through data embedding and simulation-based inference Sequential neural likelihood: Fast likelihood-free inference with autoregressive flows,

Reference 17

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Observation 42495d2f-7344-4b42-8432-eab0d5bd8b9c · outbound

This paper cites A comprehensive survey on design and application of autoencoder in deep learning,.

Reproduction of AdEx dynamics on neuromorphic hardware through data embedding and simulation-based inference A comprehensive survey on design and application of autoencoder in deep learning,

Reference 18

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This paper cites An efficient compression of ECG signals using deep convolutional autoencoders,.

Reproduction of AdEx dynamics on neuromorphic hardware through data embedding and simulation-based inference An efficient compression of ECG signals using deep convolutional autoencoders,

Reference 19

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This paper cites Firing patterns in the adaptive expo- nential integrate-and-fire model,.

Reproduction of AdEx dynamics on neuromorphic hardware through data embedding and simulation-based inference Firing patterns in the adaptive expo- nential integrate-and-fire model,

Reference 20

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Observation d00bf7c1-3417-49c2-b716-0a79708da971 · outbound

This paper cites A scalable approach to modeling on accelerated neuromorphic hardware,.

Reproduction of AdEx dynamics on neuromorphic hardware through data embedding and simulation-based inference A scalable approach to modeling on accelerated neuromorphic hardware,

Reference 21

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This paper cites PyNN: A common interface for neuronal network simulators,.

Reproduction of AdEx dynamics on neuromorphic hardware through data embedding and simulation-based inference PyNN: A common interface for neuronal network simulators,

Reference 22

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This paper cites Adam: A method for stochastic optimization,.

Reproduction of AdEx dynamics on neuromorphic hardware through data embedding and simulation-based inference Adam: A method for stochastic optimization,

Reference 23

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Reproduction of AdEx dynamics on neuromorphic hardware through data embedding and simulation-based inference Pytorch: An imperative style, high- performance deep learning library,

Reference 24

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Reproduction of AdEx dynamics on neuromorphic hardware through data embedding and simulation-based inference Benchmarking simulation- based inference,

Reference 25

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This paper cites Sbi: A toolkit for simulation- based inference,.

Reproduction of AdEx dynamics on neuromorphic hardware through data embedding and simulation-based inference Sbi: A toolkit for simulation- based inference,

Reference 26

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This paper cites A crisis in simulation-based infer- ence? beware, your posterior approximations can be unfaithful,.

Reproduction of AdEx dynamics on neuromorphic hardware through data embedding and simulation-based inference A crisis in simulation-based infer- ence? beware, your posterior approximations can be unfaithful,

Reference 27

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Reproduction of AdEx dynamics on neuromorphic hardware through data embedding and simulation-based inference Active subspace methods in theory and practice: Applications to kriging surfaces,

Reference 28

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This paper cites Limits to high-speed simulations of spiking neural networks using general-purpose comput- ers,.

Reproduction of AdEx dynamics on neuromorphic hardware through data embedding and simulation-based inference Limits to high-speed simulations of spiking neural networks using general-purpose comput- ers,

Reference 29

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Reproduction of AdEx dynamics on neuromorphic hardware through data embedding and simulation-based inference Unresolved cited work

Reference 1999

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Reference 2014

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Reproduction of AdEx dynamics on neuromorphic hardware through data embedding and simulation-based inference Unresolved cited work

Reference 2018

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This paper cites Truncated proposals for scalable and hassle-free simulation-based inference.

Reproduction of AdEx dynamics on neuromorphic hardware through data embedding and simulation-based inference Truncated proposals for scalable and hassle-free simulation-based inference

Reference 2022

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Reproduction of AdEx dynamics on neuromorphic hardware through data embedding and simulation-based inference Unresolved cited work

Reference 2023

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Pith citing papers

No inbound Pith citation observations are available.