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Paper Citation Record · LEDGER

What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective

As of 24 August 2026, this Paper Citation Record lists 100 of 189 outbound references and 0 inbound Pith citation observations for arXiv:1909.05654.

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

pith.paper-citation-record.v1
1909.05654 v1

Coverage vector

measured 100 of 189 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:49:46.300390Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 0 of 0 inbound itemization

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

100 of 189 outbound references displayed

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  • verified fuzzy0
  • unresolved99
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4e184895-5a08-4a6c-8a88-177cf2d3e851 · outbound

This paper cites what” and “where.

What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective what” and “where

Reference 1

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Observation 04190014-24eb-4d37-b1a2-ba33e70f70f0 · outbound

This paper cites What” and “where.

What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective What” and “where

Reference 2

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Observation f1ef8184-fbd4-4801-b34c-e3e70d835652 · outbound

This paper cites and Burr, D.

What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective and Burr, D

Reference 3

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This paper cites A., Laurent, P.

What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective A., Laurent, P

Reference 4

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Observation 2c145e28-0c69-4151-a930-7eaca05c483c · outbound

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What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective V., and Theeuwes, J

Reference 5

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What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective Unresolved cited work

Reference 6

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What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective Unresolved cited work

Reference 7

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What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective Unresolved cited work

Reference 8

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This paper cites an unresolved cited work.

What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective Unresolved cited work

Reference 9

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What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective Unresolved cited work

Reference 10

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What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective and An, S

Reference 11

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What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective Unresolved cited work

Reference 12

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Observation e27ace5b-46fa-4977-acfd-458c761d6ec5 · outbound

This paper cites I., Fu, D., Liu, X., and Wermter, S.

What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective I., Fu, D., Liu, X., and Wermter, S

Reference 13

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This paper cites an unresolved cited work.

What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective Unresolved cited work

Reference 14

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What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective Unresolved cited work

Reference 15

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What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective Unresolved cited work

Reference 16

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Observation da2da572-eb95-47cf-b3b7-348e7056b401 · outbound

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What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective and Jensen, O

Reference 17

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Observation f1f07851-6c4c-42b1-9390-eebee331ca36 · outbound

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What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective and Itti, L

Reference 18

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Observation db8744cc-a5ae-44ca-9032-4c5cce2b70fd · outbound

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What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective M., Braver, T

Reference 19

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This paper cites an unresolved cited work.

What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective Unresolved cited work

Reference 20

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What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective Unresolved cited work

Reference 21

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Observation 64a90a0d-42eb-45d9-803f-9f7446ec7150 · outbound

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What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective Unresolved cited work

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Observation 0af76bd5-193a-4606-a754-c94e9035c7a4 · outbound

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What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective and Sporns, O

Reference 23

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What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective Unresolved cited work

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What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective S., Langer, A., and Kaiser, J

Reference 25

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Observation c6469582-b437-4f3f-b838-3cc026a28e50 · outbound

This paper cites an unresolved cited work.

What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective Unresolved cited work

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Observation a7455e70-a6d0-4767-8c84-d904ddc03dce · outbound

This paper cites ventriloquist effect.

What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective ventriloquist effect

Reference 27

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Observation dbfa8603-617f-4732-836a-d037dc3a58b5 · outbound

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What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective K., Bahdanau, D., Serdyuk, D., Cho, K., and Bengio, Y

Reference 28

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What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective S., Senior, A., Vinyals, O., and Zisserman, A

Reference 29

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What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective S., Yeung, N., and Kadosh, R

Reference 30

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Observation ec348ea2-5e95-481c-bb5a-4cf93cc4b740 · outbound

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What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective Unresolved cited work

Reference 31

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Observation 998e4dc8-1bc9-4999-82e8-f5b907043d55 · outbound

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What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective S., and Yau, J

Reference 32

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What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective R., Cowan, N., and Bunting, M

Reference 33

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Observation 51abec85-3dbe-4191-9761-b74946fe2da6 · outbound

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What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective and Shulman, G

Reference 34

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What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective Unresolved cited work

Reference 35

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Observation ae6562ce-ad0a-49cb-ad49-f366813255bc · outbound

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What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective Unresolved cited work

Reference 36

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What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective Unresolved cited work

Reference 37

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What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective E., Neal, R

Reference 38

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What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective and Duncan, J

Reference 39

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Observation 5be0229a-0e76-4133-af08-873687804f50 · outbound

This paper cites an unresolved cited work.

What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective Unresolved cited work

Reference 40

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Observation 38137b8c-6ce1-4e81-9754-ad1b28959f91 · outbound

This paper cites and Simon, J.

What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective and Simon, J

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Observation b67f215f-b31a-4212-90d3-9fcd8aefceea · outbound

This paper cites an unresolved cited work.

What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective Unresolved cited work

Reference 42

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Observation ba75c091-1580-4880-901e-b7ad9700e3b6 · outbound

This paper cites J., Killinger, M.

What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective J., Killinger, M

Reference 43

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Observation cbcdd818-e39e-461e-bdea-4230917cf261 · outbound

This paper cites cocktail-party problem.

What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective cocktail-party problem

Reference 44

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Observation 546ebfc9-04ad-4172-b4ca-509809c809e9 · outbound

This paper cites A., and Downar, J.

What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective A., and Downar, J

Reference 45

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Observation 1345cccb-0b8e-41a0-bf80-10432232d8e5 · outbound

This paper cites and Roig, G.

What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective and Roig, G

Reference 46

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Observation 6358b90a-b60a-4419-ae28-49f9c0d1f84c · outbound

This paper cites and Driver, J.

What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective and Driver, J

Reference 47

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Observation 03c47503-5025-41d3-a63b-573759cc05d5 · outbound

This paper cites an unresolved cited work.

What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective Unresolved cited work

Reference 48

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source=pdf_text observed=2026-08-14T04:49:46.066967Z digest=sha256:65eb8e531a964e6b5881c1de55da10443cad33b78b037a6cad3ca51e0591e9a3

Observation cb530b97-f81a-404a-bbd4-f08242b85ad7 · outbound

This paper cites D., Fossella, J., Flombaum, J.

What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective D., Fossella, J., Flombaum, J

Reference 49

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Observation 77555c24-dd39-432c-af44-50ff393732f6 · outbound

This paper cites D., Sommer, T., Raz, A., and Posner, M.

What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective D., Sommer, T., Raz, A., and Posner, M

Reference 50

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Observation 0f484b79-266e-43d1-aaa6-f1074a5a9fcc · outbound

This paper cites and Posner, M.

What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective and Posner, M

Reference 51

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Observation 31b49893-c41b-41e1-abf0-99b31f16ca29 · outbound

This paper cites T., and Lee, B.-S.

What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective T., and Lee, B.-S

Reference 52

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Observation 4a927681-2ff3-4fb9-86c9-28b68a21a4ec · outbound

This paper cites J., Wong, A.

What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective J., Wong, A

Reference 53

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Observation fc19c7a5-8718-4008-aa0b-8bd5929d5072 · outbound

This paper cites and Friston, K.

What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective and Friston, K

Reference 54

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Observation cefcb349-6ba7-4b80-9f1b-90c36e7a3188 · outbound

This paper cites L., Remington, R.

What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective L., Remington, R

Reference 55

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Observation c433bf0e-a75c-4f17-a362-7810ef679d65 · outbound

This paper cites an unresolved cited work.

What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective Unresolved cited work

Reference 56

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Observation f5f8aeab-a2dd-47be-9f5c-d38656afb7b8 · outbound

This paper cites an unresolved cited work.

What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective Unresolved cited work

Reference 57

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Observation 51941312-89ee-437b-84cf-8f5d8319a5c7 · outbound

This paper cites I., Wu, H., Magg, S., Liu, X., et al.

What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective I., Wu, H., Magg, S., Liu, X., et al

Reference 58

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Observation 23551917-07ca-45a7-9988-9367ca076666 · outbound

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What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective Unresolved cited work

Reference 59

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Observation 064ffe8a-5a39-426d-9489-229ff7132d12 · outbound

This paper cites an unresolved cited work.

What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective Unresolved cited work

Reference 60

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Observation 043a14ae-a975-4ba1-8775-dc270a49ff23 · outbound

This paper cites J., and Luck, S.

What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective J., and Luck, S

Reference 61

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Observation 12b107e7-0de1-45cd-9072-97f23ddbde20 · outbound

This paper cites J., and Luck, S.

What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective J., and Luck, S

Reference 62

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Observation 063553c7-2b1c-4e96-855e-3ca28dd26ccd · outbound

This paper cites cocktail party.

What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective cocktail party

Reference 63

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Observation b61c2051-7210-43da-abfc-cd349944bd39 · outbound

This paper cites M., Swets, J.

What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective M., Swets, J

Reference 64

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Observation 832f1a2a-b17f-45b4-bcdf-9b96320599f1 · outbound

This paper cites M., Goffart, L., and Krauzlis, R.

What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective M., Goffart, L., and Krauzlis, R

Reference 65

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Observation c408d4d5-0262-424b-ac88-f94f26683d43 · outbound

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What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective Unresolved cited work

Reference 66

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Observation f5c0232b-0123-4d1b-8e95-bca0e0b0e58b · outbound

This paper cites B., Weber, C., Kerzel, M., and Wermter, S.

What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective B., Weber, C., Kerzel, M., and Wermter, S

Reference 67

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Observation eb97bfc5-d013-4a26-b226-7b5b1a52aabb · outbound

This paper cites R., and Hanson, S.

What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective R., and Hanson, S

Reference 68

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Observation 18d733b7-0b3e-443a-9922-58495c9b99ee · outbound

This paper cites Attentional Network for Visual Object Detection.

What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective Attentional Network for Visual Object Detection

Reference 69

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source=pdf_text observed=2026-08-14T04:49:46.165107Z digest=sha256:dac0737819ad0ba635a67570c9198530e59c1e19852208cfe0cd2bca9dae1d9b

Observation 6c035d9c-c79d-40ac-af7b-146b4d48ed03 · outbound

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What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective Unresolved cited work

Reference 70

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Observation a9f8ab76-697d-4a79-beb7-858b88cb9318 · outbound

This paper cites and Amedi, A.

What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective and Amedi, A

Reference 71

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Observation 135dbab4-423b-4ac1-8aef-2d699b38f1c6 · outbound

This paper cites C., McLaughlin, S.

What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective C., McLaughlin, S

Reference 72

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Observation 166c151a-b712-486d-8e88-22301afdd285 · outbound

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What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective Unresolved cited work

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Observation 99c55fb9-e008-41db-9e7c-fa7bfeb3426c · outbound

This paper cites M., Kahng, M., Pienta, R., and Chau, D.

What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective M., Kahng, M., Pienta, R., and Chau, D

Reference 74

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Observation 16dd8127-57ef-4334-989d-d20bf4af5bb6 · outbound

This paper cites and Baldi, P.

What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective and Baldi, P

Reference 75

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Observation def1c9d4-88bc-4334-aeea-6ae94385343e · outbound

This paper cites and Koch, C.

What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective and Koch, C

Reference 76

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Observation 6ca8af3b-ecd7-4b27-bb63-e60548b4728f · outbound

This paper cites an unresolved cited work.

What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective Unresolved cited work

Reference 77

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Observation 8cae79b5-3d6d-435e-b2b2-cc5c00f2e973 · outbound

This paper cites and Mazaheri, A.

What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective and Mazaheri, A

Reference 78

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Observation 2c9c51c7-6617-450e-ba72-eb5d4b8a49c5 · outbound

This paper cites an unresolved cited work.

What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective Unresolved cited work

Reference 79

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Observation c58f7124-634e-46d6-a0f2-8f9af76aa464 · outbound

This paper cites A., Robertson, I.

What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective A., Robertson, I

Reference 80

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Observation 1e344a77-a1f1-4f47-bf41-7af08e8870fa · outbound

This paper cites and Narayanan, S.

What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective and Narayanan, S

Reference 81

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Observation c148c331-1069-4a66-af56-8c9a09fa7474 · outbound

This paper cites an unresolved cited work.

What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective Unresolved cited work

Reference 82

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Observation f417d94b-3817-4f21-9a0f-8ad3bbcfdbe7 · outbound

This paper cites I., Lippert, M., and Logothetis, N.

What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective I., Lippert, M., and Logothetis, N

Reference 83

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Observation edba5c2a-0068-45c3-ad6b-0cce56fc8945 · outbound

This paper cites an unresolved cited work.

What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective Unresolved cited work

Reference 84

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Observation c3b1455d-352d-436f-a2a4-71f74d9f338d · outbound

This paper cites an unresolved cited work.

What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective Unresolved cited work

Reference 85

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Observation 8d288b67-3f07-4055-9c19-b41d9f23d0a7 · outbound

This paper cites J., Lovejoy, L.

What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective J., Lovejoy, L

Reference 86

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Observation 4ed51dfb-9567-42c3-89c2-042e3b1ae13c · outbound

This paper cites an unresolved cited work.

What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective Unresolved cited work

Reference 87

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Observation 2c261b14-01bc-444d-8b74-9cad1c877039 · outbound

This paper cites S., Ayush, K., and Babu, R.

What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective S., Ayush, K., and Babu, R

Reference 88

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Observation 3a357fa8-ee7b-43cd-b7c3-4a28180ae6e6 · outbound

This paper cites E., Vaden Jr, K.

What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective E., Vaden Jr, K

Reference 89

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Observation c87118f8-359c-4453-a4eb-88ccae6de492 · outbound

This paper cites V., Atkinson, J., and Braddick, O.

What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective V., Atkinson, J., and Braddick, O

Reference 90

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Observation 762cfb0e-5140-4efa-9b9b-04bb2f960333 · outbound

This paper cites S., Gatys, L.

What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective S., Gatys, L

Reference 91

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Observation 30fa48d6-4d21-4c92-a710-7482a7a19928 · outbound

This paper cites an unresolved cited work.

What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective Unresolved cited work

Reference 92

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source=pdf_text observed=2026-08-14T04:49:46.265185Z digest=sha256:194a2570c11d2a2142fbfbab2ed6406bd878908aa98a014017d666ea0969139a

Observation ee90f497-11bc-445f-871e-5dbf34ede088 · outbound

This paper cites K., Larson, E., Maddox, R.

What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective K., Larson, E., Maddox, R

Reference 93

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Observation 2c3e63ec-17ff-4f3f-80fd-a507d81872c3 · outbound

This paper cites and Choo, H.

What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective and Choo, H

Reference 94

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Observation dd9480bd-2f88-41ef-9d96-267ace235483 · outbound

This paper cites and Getzmann, S.

What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective and Getzmann, S

Reference 95

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source=pdf_text observed=2026-08-14T04:49:46.278390Z digest=sha256:354222393613a17c32b2a5f160e3a87ef1f3e5c94abe5047210a948afabed1fb

Observation b4adf824-c30a-49b2-a696-d1b7fb471b58 · outbound

This paper cites an unresolved cited work.

What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective Unresolved cited work

Reference 96

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source=pdf_text observed=2026-08-14T04:49:46.282885Z digest=sha256:910867804647062b9ad79970fca5bba6b7fc1a4449e71b0eecec2e2ef8965ec7

Observation bbe6415f-c616-4528-916e-ac6ab60c9956 · outbound

This paper cites an unresolved cited work.

What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective Unresolved cited work

Reference 97

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source=pdf_text observed=2026-08-14T04:49:46.287303Z digest=sha256:b1b6b8a32904ce630082398026090fc4d7af197b40dadca9f3b32544723fa3e3

Observation acd7c3ce-b32d-4893-bf64-3f1e4a55db68 · outbound

This paper cites an unresolved cited work.

What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective Unresolved cited work

Reference 98

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source=pdf_text observed=2026-08-14T04:49:46.291610Z digest=sha256:1ab6d37c103da2014f29478ddd468d4b7bb4a04e03430e84e7cf22d6f42d07d4

Observation 677f9665-116a-452a-967b-078bd6cd479a · outbound

This paper cites an unresolved cited work.

What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective Unresolved cited work

Reference 99

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source=pdf_text observed=2026-08-14T04:49:46.296160Z digest=sha256:31135e6b0ff70b1e1f3ba9c2f9670341a83846a0a96733447dd33ac44b7c750f

Observation 5b6a22cb-f806-4574-bb74-3f2772f14e3e · outbound

This paper cites an unresolved cited work.

What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective Unresolved cited work

Reference 100

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source=pdf_text observed=2026-08-14T04:49:46.300390Z digest=sha256:a1024d4fe6637778538d8d166820131756d1c6707aebfc76003ffa6ee5f3bb12

Pith citing papers

No inbound Pith citation observations are available.