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Paper Citation Record · LEDGER

Mean-field analysis of a neural network with stochastic STDP

As of 20 August 2026, this Paper Citation Record lists 80 of 80 outbound references and 1 inbound Pith citation observation for arXiv:2510.02545.

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

pith.paper-citation-record.v1
2510.02545 v1

Coverage vector

measured 80 of 80 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T12:43:32.938564Z

measured 81 of 81 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T04:18:45.244693Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T05:30:23.456663Z

Reference resolution

80 of 80 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved78
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  • malformed identifier1
  • metadata mismatch0

External citation measurements

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pith, observed 2026-08-10T05:30:23.456663Z

Outbound references

Observation 7a53bed4-b1e4-4bf7-853b-788a13963f03 · outbound

This paper cites an unresolved cited work.

Mean-field analysis of a neural network with stochastic STDP Unresolved cited work

Reference 1

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source=pdf_text observed=2026-08-04T12:43:22.854737Z digest=sha256:8f7a7f2224b085ce9e76bd85d2c97e754db1375317d5cb85ebb556a2fba27807

Observation d7620984-591b-48fa-bd13-8062cb41f6e8 · outbound

This paper cites Hence, asNtends to infinity, the limit of the term 1 depends on the Fr´ echet derivative of Ψ.

Mean-field analysis of a neural network with stochastic STDP Hence, asNtends to infinity, the limit of the term 1 depends on the Fr´ echet derivative of Ψ

Reference 2

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Observation 7f72d65f-8cbe-44e5-b297-29d4c79c611d · outbound

This paper cites Z T 0 ⟨µN u ,Ψ⟩du # →N∞ E.

Mean-field analysis of a neural network with stochastic STDP Z T 0 ⟨µN u ,Ψ⟩du # →N∞ E

Reference 3

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Observation 23b8b695-26b4-462b-8d04-3711a8c565e7 · outbound

This paper cites We describe the generator only on the set of cylindrical functions Φ∈C b(P(E)) that is there exists Ψ∈C 1,1 b (E) such that ∀µ∈ P(E),Φ(µ) =⟨µ,Ψ⟩.

Mean-field analysis of a neural network with stochastic STDP We describe the generator only on the set of cylindrical functions Φ∈C b(P(E)) that is there exists Ψ∈C 1,1 b (E) such that ∀µ∈ P(E),Φ(µ) =⟨µ,Ψ⟩

Reference 4

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Observation 43c711bd-7a75-4dc2-97d5-2d17e876437c · outbound

This paper cites We now give some details on this limit system.

Mean-field analysis of a neural network with stochastic STDP We now give some details on this limit system

Reference 5

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Observation 066d1254-a88f-4456-9405-ee6d39567a5b · outbound

This paper cites This term is more difficult to deal with because the spiking rates (1 {V i,N t =0}α(I i,N t ))1≤i≤N depend on the actual state of the neural networkX N t.

Mean-field analysis of a neural network with stochastic STDP This term is more difficult to deal with because the spiking rates (1 {V i,N t =0}α(I i,N t ))1≤i≤N depend on the actual state of the neural networkX N t

Reference 6

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Observation 8211e68e-f4ca-4bc1-89ce-908960edc58b · outbound

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Mean-field analysis of a neural network with stochastic STDP Unresolved cited work

Reference 7

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Observation 18acab8f-4e12-4c56-818c-f9631ed99d07 · outbound

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Mean-field analysis of a neural network with stochastic STDP Unresolved cited work

Reference 8

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Observation 6a332245-8d36-4cf6-91e1-3bd374cd7357 · outbound

This paper cites •dS i,∗ t =dt.

Mean-field analysis of a neural network with stochastic STDP •dS i,∗ t =dt

Reference 9

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Observation e620e7aa-bc1c-4ff8-ac7a-c3393b4e8c9b · outbound

This paper cites an unresolved cited work.

Mean-field analysis of a neural network with stochastic STDP Unresolved cited work

Reference 10

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Mean-field analysis of a neural network with stochastic STDP Unresolved cited work

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Mean-field analysis of a neural network with stochastic STDP Unresolved cited work

Reference 12

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Observation 0563016f-78b8-4cfb-8917-c532e33575e7 · outbound

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Mean-field analysis of a neural network with stochastic STDP Unresolved cited work

Reference 13

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Observation d979a4cb-1d81-4d60-9678-45f827124c5b · outbound

This paper cites We illustrate in Fig.

Mean-field analysis of a neural network with stochastic STDP We illustrate in Fig

Reference 14

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Observation 8bd1a698-1360-4a97-b307-b91333b832c2 · outbound

This paper cites We draw the jumping timesτ i,N t of the neurons from exponential distributions with parameter α(I i,N t )δ{V i,N t =0} +βδ {V i,N t =1}.

Mean-field analysis of a neural network with stochastic STDP We draw the jumping timesτ i,N t of the neurons from exponential distributions with parameter α(I i,N t )δ{V i,N t =0} +βδ {V i,N t =1}

Reference 15

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Observation 541f5bc1-101b-4053-85fc-d00018800d14 · outbound

This paper cites an unresolved cited work.

Mean-field analysis of a neural network with stochastic STDP Unresolved cited work

Reference 16

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Observation d7d3ad75-ef20-4d9a-9152-e75054adf5e8 · outbound

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Mean-field analysis of a neural network with stochastic STDP Unresolved cited work

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Observation 7feebd18-3c02-435b-8869-9cb61f68e3ef · outbound

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Mean-field analysis of a neural network with stochastic STDP Unresolved cited work

Reference 18

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Observation deefa191-3eaa-4a0d-b38a-ad26c09e9fd2 · outbound

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Mean-field analysis of a neural network with stochastic STDP Unresolved cited work

Reference 19

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Observation 80d8618f-746e-4278-a482-7aa2f980dcc5 · outbound

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Mean-field analysis of a neural network with stochastic STDP Unresolved cited work

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Mean-field analysis of a neural network with stochastic STDP Unresolved cited work

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Observation 08a39580-48f7-42c1-b991-41e38b5e345e · outbound

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Mean-field analysis of a neural network with stochastic STDP Unresolved cited work

Reference 22

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Observation 74873377-f6d1-4bc3-b8ab-4ab62ff880a2 · outbound

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Mean-field analysis of a neural network with stochastic STDP Unresolved cited work

Reference 23

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Observation 7cb60714-0d57-4d5d-8833-7c8c08b4ea2d · outbound

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Mean-field analysis of a neural network with stochastic STDP Unresolved cited work

Reference 24

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Mean-field analysis of a neural network with stochastic STDP Unresolved cited work

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Observation 802aa998-e41d-48b9-a3f0-a5b09dffc2da · outbound

This paper cites Mongillo, S.

Mean-field analysis of a neural network with stochastic STDP Mongillo, S

Reference 26

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Observation 40172151-2df4-4e6d-8444-2c7bea2757d7 · outbound

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Mean-field analysis of a neural network with stochastic STDP Unresolved cited work

Reference 27

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Observation 3abb625a-4d9c-45ea-852d-0f022b60c2cd · outbound

This paper cites Brzosko, S.

Mean-field analysis of a neural network with stochastic STDP Brzosko, S

Reference 28

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Observation 8205a974-b7bb-4be8-9e5e-30a7d7f9fa42 · outbound

This paper cites Kempter, W.

Mean-field analysis of a neural network with stochastic STDP Kempter, W

Reference 29

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Observation edfe4d43-487a-43e5-a10e-25eac868f6bb · outbound

This paper cites Bi and M.-m.

Mean-field analysis of a neural network with stochastic STDP Bi and M.-m

Reference 30

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Observation efc1ceeb-676f-4b9d-8d56-2f5dd7afdd24 · outbound

This paper cites Robert and G.

Mean-field analysis of a neural network with stochastic STDP Robert and G

Reference 31

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Observation 248d27d7-7197-4579-8e15-7adb87e6904d · outbound

This paper cites Robert and G.

Mean-field analysis of a neural network with stochastic STDP Robert and G

Reference 32

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Observation 1ee3f6c3-186e-4994-9e15-8786c1ed0d72 · outbound

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Mean-field analysis of a neural network with stochastic STDP Unresolved cited work

Reference 33

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Mean-field analysis of a neural network with stochastic STDP Unresolved cited work

Reference 34

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Observation 6167d60e-c4db-4452-a162-3388879420f9 · outbound

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Mean-field analysis of a neural network with stochastic STDP Unresolved cited work

Reference 35

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Observation 65f5e34a-38a7-4510-89bf-b2da8cf1ea24 · outbound

This paper cites A new stochastic STDP Rule in a neural Network Model.

Mean-field analysis of a neural network with stochastic STDP A new stochastic STDP Rule in a neural Network Model

Reference 36

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Observation 517bcb3c-dcff-4378-908a-485fd9645b2c · outbound

This paper cites Helson,Plasticity in networks of spiking neurons in interaction, Ph.D.

Mean-field analysis of a neural network with stochastic STDP Helson,Plasticity in networks of spiking neurons in interaction, Ph.D

Reference 37

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Observation 643b9252-f1aa-4188-aadf-94e32ea43a42 · outbound

This paper cites Galtier and G.

Mean-field analysis of a neural network with stochastic STDP Galtier and G

Reference 38

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Observation 77073bce-747a-46fd-b39e-e87c626c50a0 · outbound

This paper cites Perthame, D.

Mean-field analysis of a neural network with stochastic STDP Perthame, D

Reference 39

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Observation 67f17b6d-6595-466e-9e63-f18c8d24a632 · outbound

This paper cites Kasai, N.

Mean-field analysis of a neural network with stochastic STDP Kasai, N

Reference 40

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source=pdf_text observed=2026-08-04T12:43:27.452437Z digest=sha256:541db1fcadd3a9ace3b84b511debac7af08eadfa805aed8f5400036960302773

Observation 6b81e583-2f81-47ee-9b8d-d9c5c5751c91 · outbound

This paper cites Choquet and A.

Mean-field analysis of a neural network with stochastic STDP Choquet and A

Reference 41

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source=pdf_text observed=2026-08-04T12:43:27.570772Z digest=sha256:c9eebbcf6b9413dd64216ec1177d8ec0e00ec579934f76a0976e6c7df15a051b

Observation 9bec487e-5089-4479-af42-4ba9cd3ff11f · outbound

This paper cites Vasin, N.

Mean-field analysis of a neural network with stochastic STDP Vasin, N

Reference 42

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source=pdf_text observed=2026-08-04T12:43:27.718183Z digest=sha256:a52f8d451e47cbb5bc3dda4a70335955758c3605ea75ebf8d8c3045a58ebe01c

Observation f20e401e-edb5-46b6-9e8e-1d5ef8e3d2be · outbound

This paper cites Aso and G.

Mean-field analysis of a neural network with stochastic STDP Aso and G

Reference 43

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source=pdf_text observed=2026-08-04T12:43:27.849239Z digest=sha256:19fb8ccbd8c1a6096bba5efbc7fe34fb76387b10a1b013c5e22694932d6ebcab

Observation 42b84da6-ae70-458b-b3a7-15bf9e32c73c · outbound

This paper cites an unresolved cited work.

Mean-field analysis of a neural network with stochastic STDP Unresolved cited work

Reference 44

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source=pdf_text observed=2026-08-04T12:43:27.911524Z digest=sha256:620e7e24ed09e30c603fe761707274c0970934a641b84d4dd8c19f3a39302f6d

Observation 5f8230ba-c868-4ad4-bec3-97c735d3a71b · outbound

This paper cites an unresolved cited work.

Mean-field analysis of a neural network with stochastic STDP Unresolved cited work

Reference 45

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source=pdf_text observed=2026-08-04T12:43:28.013503Z digest=sha256:3c38e08e7c3774419b38ddf7aeff33ea18c8405f59fe47fc750a92f186dddc3f

Observation 956ad493-7e12-4eab-9f97-9ab173c26be2 · outbound

This paper cites Zenke, W.

Mean-field analysis of a neural network with stochastic STDP Zenke, W

Reference 46

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source=pdf_text observed=2026-08-04T12:43:28.176799Z digest=sha256:b5ec358675ca6d534e910321da210f4b67e5ad8428e278f75b52451ea0c1c701

Observation f5ae4882-1458-46ab-b3d6-2e30277ebc31 · outbound

This paper cites Lansner, F.

Mean-field analysis of a neural network with stochastic STDP Lansner, F

Reference 47

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source=pdf_text observed=2026-08-04T12:43:28.315458Z digest=sha256:09a4c88ff5cf4039e31601b85d35c0adead11789739738d75dab36fc70b1248f

Observation 997ec0a6-5200-4bde-a76b-32343fe438fe · outbound

This paper cites Masquelier, R.

Mean-field analysis of a neural network with stochastic STDP Masquelier, R

Reference 48

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source=pdf_text observed=2026-08-04T12:43:28.460018Z digest=sha256:00b10da4be7a50893f462230ea3c3010c29d9b298f04ba1ee6a93f39a3141c52

Observation ddfa190e-3e4d-4c7d-a99f-6a33db9b45bc · outbound

This paper cites Masquelier, R.

Mean-field analysis of a neural network with stochastic STDP Masquelier, R

Reference 49

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source=pdf_text observed=2026-08-04T12:43:28.570560Z digest=sha256:2773e8f718d5c16e190451747d52291fef7209b855a78e135d71d7b56bf5399b

Observation a02cb3cc-bc1d-49a2-b0c8-4f60617b3a58 · outbound

This paper cites Gilson, A.

Mean-field analysis of a neural network with stochastic STDP Gilson, A

Reference 50

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source=pdf_text observed=2026-08-04T12:43:28.703018Z digest=sha256:849dd98b70fab89f24a53d245a489b952ced1c6a23237b25a421e8b6d92adc54

Observation 22e008e3-08ee-4ec2-b284-aec4c22bf5c2 · outbound

This paper cites Gilson and T.

Mean-field analysis of a neural network with stochastic STDP Gilson and T

Reference 51

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source=pdf_text observed=2026-08-04T12:43:28.880653Z digest=sha256:2748d2b82c403c1430d9e7243065bb330859e877c787495cee72b66640416d2e

Observation 94d3b946-bdee-49f2-a4f6-a649f73effaf · outbound

This paper cites Pechersky, G.

Mean-field analysis of a neural network with stochastic STDP Pechersky, G

Reference 52

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source=pdf_text observed=2026-08-04T12:43:29.050433Z digest=sha256:f7a222c4deb5998cfd46a42b8e184dee657979e68551f5f591523617ee5c9ef6

Observation cede5d94-8566-4e30-8c3e-1f629a63c074 · outbound

This paper cites Montbri´ o, D.

Mean-field analysis of a neural network with stochastic STDP Montbri´ o, D

Reference 53

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source=pdf_text observed=2026-08-04T12:43:29.186617Z digest=sha256:65ed164875f656b04cc71eb7e88acd8ae1b647e646d28bc6106d64109b1b96fb

Observation 9780d2e2-7465-4c12-afba-1165484d2bce · outbound

This paper cites De Masi, A.

Mean-field analysis of a neural network with stochastic STDP De Masi, A

Reference 54

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source=pdf_text observed=2026-08-04T12:43:29.280501Z digest=sha256:4a1ef3e86f2d38747c9110ba517bbea7d489d4441337417a9c26c4ed7967c3db

Observation 8d4e5705-014c-447a-94d0-1473e98b6a11 · outbound

This paper cites Delarue, J.

Mean-field analysis of a neural network with stochastic STDP Delarue, J

Reference 55

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source=pdf_text observed=2026-08-04T12:43:29.409363Z digest=sha256:c11a3acb987da32cbef38aa027bb353aba295a0d4e0cf8d54008ae635f4bcbce

Observation e72e84e4-1073-4819-be39-f5377d6bd750 · outbound

This paper cites Fournier and E.

Mean-field analysis of a neural network with stochastic STDP Fournier and E

Reference 56

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source=pdf_text observed=2026-08-04T12:43:29.519660Z digest=sha256:6563345412a5b818fcbea24c8016dfb9aecfc3f60b72c0c55679f0a1757d2d63

Observation 14e97050-a336-4c32-8667-329f90087f58 · outbound

This paper cites Delattre and N.

Mean-field analysis of a neural network with stochastic STDP Delattre and N

Reference 57

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-04T12:43:29.675055Z digest=sha256:10a2bbbd5607af4f38bd2b7df4abee7ee7c8def1458d88fbdfadf1f7efa501c4

Observation 5b7fcf5a-fe1f-4893-b7a8-88ac967f5b28 · outbound

This paper cites Chevallier, Mean-field limit of generalized Hawkes pro- cesses, Stochastic Process.

Mean-field analysis of a neural network with stochastic STDP Chevallier, Mean-field limit of generalized Hawkes pro- cesses, Stochastic Process

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source=pdf_text observed=2026-08-04T12:43:29.839114Z digest=sha256:c680b43e3b95e4f1b4409ee2c561837fbf993a6ceed07076748ca021e36e7ffa

Observation 87b4d971-9bbb-49f7-bb38-a65189dc1e43 · outbound

This paper cites Farkhooi and W.

Mean-field analysis of a neural network with stochastic STDP Farkhooi and W

Reference 59

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source=pdf_text observed=2026-08-04T12:43:29.995943Z digest=sha256:154f0d103cb0fc160637c0f43d5c65a3f24d015e2c4058e4fb1a50e580a198d2

Observation f3468c3b-072e-4a32-ad06-6f58132cd447 · outbound

This paper cites Huang and C.-C.

Mean-field analysis of a neural network with stochastic STDP Huang and C.-C

Reference 60

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source=pdf_text observed=2026-08-04T12:43:30.117859Z digest=sha256:21c7366f56a78a7d27a7ecd77ae5a9891550f840ff10986d0d446babcc61536e

Observation 26e2a223-927e-45ec-9085-844b1146d7bf · outbound

This paper cites an unresolved cited work.

Mean-field analysis of a neural network with stochastic STDP Unresolved cited work

Reference 61

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-04T12:43:30.240395Z digest=sha256:55e7108575c78df43079bfd82af6bc138e8a13fceb52e7c40c6887e6296afa08

Observation 31e3d6c8-26ae-4c90-b147-33f3eba04a3c · outbound

This paper cites Duchet, C.

Mean-field analysis of a neural network with stochastic STDP Duchet, C

Reference 62

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-04T12:43:30.428392Z digest=sha256:66ab71d42792ecdf2770a3df7b2e553eb79186cf3de54dd432f1c2de85367cbe

Observation de283c77-b475-4169-9344-c5493ad24816 · outbound

This paper cites On the Spontaneous Dynamics of Synaptic Weights in Stochastic Models with Pair-Based STDP.

Mean-field analysis of a neural network with stochastic STDP On the Spontaneous Dynamics of Synaptic Weights in Stochastic Models with Pair-Based STDP

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source=pdf_text observed=2026-08-04T12:43:30.551125Z digest=sha256:b63342eca93c294706697981eb081be127c0989f14e0f5dd51aa214dda8f9267

Observation 0dd27845-1b5d-460a-8095-f5de46d0a073 · outbound

This paper cites Sznitman, Topics in propagation of chaos, in ´Ecole d’ ´Et´ e de Probabilit´ es de Saint-Flour XIX—1989, Lecture Notes in Math., Vol.

Mean-field analysis of a neural network with stochastic STDP Sznitman, Topics in propagation of chaos, in ´Ecole d’ ´Et´ e de Probabilit´ es de Saint-Flour XIX—1989, Lecture Notes in Math., Vol

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source=pdf_text observed=2026-08-04T12:43:30.654494Z digest=sha256:10e2d169c82b50582095efa3414f6b8bc7d7dabc84290ce79fc163c9629e03b6

Observation d9994aee-496d-4f2d-9b7a-8d6f7d938777 · outbound

This paper cites Dolcemascolo, A.

Mean-field analysis of a neural network with stochastic STDP Dolcemascolo, A

Reference 65

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source=pdf_text observed=2026-08-04T12:43:30.768100Z digest=sha256:dbb3906fcb9537b5eb437101f5bc0264f9c0e4debd69b2ec9a095fcbca1d43ea

Observation b1a408a6-428b-4ddc-b5fb-61b4f48c49d4 · outbound

This paper cites Pastor-Satorras, C.

Mean-field analysis of a neural network with stochastic STDP Pastor-Satorras, C

Reference 66

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source=pdf_text observed=2026-08-04T12:43:30.890453Z digest=sha256:bb81bb69dc2afd77eef92b1295fba4d08c4e06e30aeb71fe678759eae6170c3f

Observation 10c990c1-264d-47e5-b3fa-5fa1326e6a75 · outbound

This paper cites an unresolved cited work.

Mean-field analysis of a neural network with stochastic STDP Unresolved cited work

Reference 67

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source=pdf_text observed=2026-08-04T12:43:31.018423Z digest=sha256:f6543955ff4bee45b690b28970949c0421e8421759d0a58857985b3c3fb553d4

Observation 1c06e9b7-01d1-4506-9b49-97956b63cabe · outbound

This paper cites an unresolved cited work.

Mean-field analysis of a neural network with stochastic STDP Unresolved cited work

Reference 68

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source=pdf_text observed=2026-08-04T12:43:31.143299Z digest=sha256:c094a90a239a201468a7633e5ed8d35de52346d3039d61657f9e0ce6e772b5ca

Observation 5f5b5d68-ee44-4fdf-8fcb-949596034e0f · outbound

This paper cites an unresolved cited work.

Mean-field analysis of a neural network with stochastic STDP Unresolved cited work

Reference 69

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source=pdf_text observed=2026-08-04T12:43:31.290481Z digest=sha256:7e43a00818ad71a67dd9dc69615a92cb5e163edf0b495adbbf3e03ee0c81e280

Observation 2060391c-25c9-4dfc-9883-c826a73f0424 · outbound

This paper cites Benayoun, J.

Mean-field analysis of a neural network with stochastic STDP Benayoun, J

Reference 70

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source=pdf_text observed=2026-08-04T12:43:31.448360Z digest=sha256:42f1be43baa842d20423537fe2f4286328eef0e46517b04aca26061f36a9b748

Observation ff84dc42-e118-4594-b849-a6bd53b29a08 · outbound

This paper cites Litwin-Kumar and B.

Mean-field analysis of a neural network with stochastic STDP Litwin-Kumar and B

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source=pdf_text observed=2026-08-04T12:43:31.626470Z digest=sha256:3e8460505b405667b943def6930a158b9e1fde0a91a49cc351cf32e533d5ab57

Observation 2d111dda-c0d0-4d74-9e9b-5bb2244b71f1 · outbound

This paper cites an unresolved cited work.

Mean-field analysis of a neural network with stochastic STDP Unresolved cited work

Reference 72

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T12:43:31.789345Z digest=sha256:95c305ab13e8898cc8f9a8593d39d2109c88413eea84fdeca703823754fc0212

Observation 0ae6ae3b-7951-469a-abab-82487f0a6a93 · outbound

This paper cites Dense networks of integrate-and-fire neurons: Spatially-extended mean-field limit of the empirical measure.

Mean-field analysis of a neural network with stochastic STDP Dense networks of integrate-and-fire neurons: Spatially-extended mean-field limit of the empirical measure

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source=pdf_text observed=2026-08-04T12:43:31.967412Z digest=sha256:d67783db82d73d78fd7cf4a69fcba05d731677db30befc28b0e69e3f4bc5000a

Observation 8fd79dc3-99d3-49ee-ab71-71a74b2057f2 · outbound

This paper cites Cormier, E.

Mean-field analysis of a neural network with stochastic STDP Cormier, E

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T12:43:32.075986Z digest=sha256:1052581f4b125d843dd081f63eb44f56d57684d0e6ace1be6f9f8ed6ecac4066

Observation c99aa8b2-0f39-402b-bc9d-d643188e3dfd · outbound

This paper cites an unresolved cited work.

Mean-field analysis of a neural network with stochastic STDP Unresolved cited work

Reference 75

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T12:43:32.228791Z digest=sha256:e57f66dc23b4587f5307ad8cf76b7a33101a6c9a66daa603c84a0fbcc82b26f0

Observation a83fb9f0-0146-448e-8cdb-4029a2c97d43 · outbound

This paper cites Billingsley,Convergence of probability measures, 2nd ed., Wiley Series in Probability and Statistics: Probabil- ity and Statistics (John Wiley & Sons, Inc., New York,.

Mean-field analysis of a neural network with stochastic STDP Billingsley,Convergence of probability measures, 2nd ed., Wiley Series in Probability and Statistics: Probabil- ity and Statistics (John Wiley & Sons, Inc., New York,

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source=pdf_text observed=2026-08-04T12:43:32.384516Z digest=sha256:7a215b715a3ea47defad27e4840b15a34ca79486ff8bc97a39929d043220a256

Observation dff8923f-7c58-45c9-829e-ad09c55067b5 · outbound

This paper cites an unresolved cited work.

Mean-field analysis of a neural network with stochastic STDP Unresolved cited work

Reference 78

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T12:43:32.660512Z digest=sha256:fc6ed611fc9645fceda385e6db91a1b576c6f1ac2ff532236e2f93a54047d987

Observation fe9f9c86-2b59-4740-98c2-52c8aca5e10f · outbound

This paper cites an unresolved cited work.

Mean-field analysis of a neural network with stochastic STDP Unresolved cited work

Reference 79

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T12:43:32.774991Z digest=sha256:17e10cd9e5515f2485a94b31de7c44a23d3ece4a3f914d565ce0e69b792b8fbb

Observation 61019b4a-6bb1-4be0-a5d1-c0dc26f51c5e · outbound

This paper cites Ambrosio, N.

Mean-field analysis of a neural network with stochastic STDP Ambrosio, N

Reference 80

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-04T12:43:32.938564Z digest=sha256:76218547032d25f6c68ff17bb3dc2def019321745f157d92464313ec6ace98e0

Observation ab11d535-5295-47e8-a247-f1b1faf92a28 · outbound

This paper cites x+277, a Wiley-Interscience Publication.

Mean-field analysis of a neural network with stochastic STDP x+277, a Wiley-Interscience Publication

Reference 1999

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T12:43:32.536658Z digest=sha256:95a91e962eebbb9d43711fbfc9a0983ca4e2de28c061ec6646fb8e4a77aab21b

Pith citing papers

Observation 5c3287fd-be4d-4671-a40a-6cac9a460e1a · inbound

Mechanistic bridges from receptors to whole-brain dynamics: mean-field reductions, validity domains, and computational trade-offs cites this paper.

Mechanistic bridges from receptors to whole-brain dynamics: mean-field reductions, validity domains, and computational trade-offs Mean-field analysis of a neural network with stochastic STDP

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local_arxiv, observed 2026-08-06T04:18:51.770208Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T04:18:45.244693Z digest=sha256:71ad09492e7ef2b17ba81ff05e4a35895293288a24d99f124ea8de3b6045f310