Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-16T12:30:08.897611Z
Paper Citation Record · LEDGER
As of 22 August 2026, this Paper Citation Record lists 100 of 149 outbound references and 0 inbound Pith citation observations for arXiv:2504.12705.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-16T12:30:08.897611Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
100 of 149 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 3c595a77-9872-488c-817e-f8df3b95d48f · outbound
Reference 1
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Observation 942f8a8c-42fa-4c3e-9b93-251cabb80c8b · outbound
7-Methylquinolinium Iodobismuthate Memristor: Exploring Plasticity and Memristive Properties for Digit Classification in Physical Reservoir Computing Hands -on reservoir compu�ng: a tutorial for prac�cal implementa�on
Reference 2
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7-Methylquinolinium Iodobismuthate Memristor: Exploring Plasticity and Memristive Properties for Digit Classification in Physical Reservoir Computing Digital informa�on processing in molecular systems
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7-Methylquinolinium Iodobismuthate Memristor: Exploring Plasticity and Memristive Properties for Digit Classification in Physical Reservoir Computing Unresolved cited work
Reference 5
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7-Methylquinolinium Iodobismuthate Memristor: Exploring Plasticity and Memristive Properties for Digit Classification in Physical Reservoir Computing Ar�ficial Neuron Devices
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7-Methylquinolinium Iodobismuthate Memristor: Exploring Plasticity and Memristive Properties for Digit Classification in Physical Reservoir Computing The Future of Memristors: Materials Engineering and Neural Networks
Reference 8
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7-Methylquinolinium Iodobismuthate Memristor: Exploring Plasticity and Memristive Properties for Digit Classification in Physical Reservoir Computing Recent Advances in Synap�c Devices Based on Halide Perovskite
Reference 9
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Reference 10
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7-Methylquinolinium Iodobismuthate Memristor: Exploring Plasticity and Memristive Properties for Digit Classification in Physical Reservoir Computing Organic Frameworks Memristor: An Emerging Candidate for Data Storage, Ar�ficial Synapse, and Neuromorphic Device
Reference 11
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7-Methylquinolinium Iodobismuthate Memristor: Exploring Plasticity and Memristive Properties for Digit Classification in Physical Reservoir Computing Op�cally Mediated Nonvola�le Resis�ve Memory Device Based on Metal– Organic Frameworks
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Reference 14
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7-Methylquinolinium Iodobismuthate Memristor: Exploring Plasticity and Memristive Properties for Digit Classification in Physical Reservoir Computing V.;Amirsoleimani, A.; Rahimi Azghadi, M
Reference 15
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7-Methylquinolinium Iodobismuthate Memristor: Exploring Plasticity and Memristive Properties for Digit Classification in Physical Reservoir Computing Unresolved cited work
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Reference 17
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7-Methylquinolinium Iodobismuthate Memristor: Exploring Plasticity and Memristive Properties for Digit Classification in Physical Reservoir Computing Low-Dimensional Metal Halide Perovskite Crystal Materials: Structure Strategies and Luminescence Applica�ons
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Reference 19
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7-Methylquinolinium Iodobismuthate Memristor: Exploring Plasticity and Memristive Properties for Digit Classification in Physical Reservoir Computing S.;Luo, J.;Xu, L.;Yang, J.;Li, Z.;Song, H.;Chen, C.; Tang, J
Reference 20
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7-Methylquinolinium Iodobismuthate Memristor: Exploring Plasticity and Memristive Properties for Digit Classification in Physical Reservoir Computing Influence of crystal structure and composi�on on op�cal and electronic proper�es of pyridinium-based bismuth iodide complexes
Reference 21
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7-Methylquinolinium Iodobismuthate Memristor: Exploring Plasticity and Memristive Properties for Digit Classification in Physical Reservoir Computing La�ce Manipula�on with Di -Ter�ary Ammonium Spacer in Bismuth Bromide Perovskite Directs Efficient Charge Transport and Suppressed Ion Migra�on for Photodetector Applica�ons
Reference 22
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7-Methylquinolinium Iodobismuthate Memristor: Exploring Plasticity and Memristive Properties for Digit Classification in Physical Reservoir Computing Bismuth drives the morphology and piezoresis�vity of lead -free (TMSO)3Sn3xBi2(1−x)I9 halide perovskite thin films
Reference 23
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Reference 24
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7-Methylquinolinium Iodobismuthate Memristor: Exploring Plasticity and Memristive Properties for Digit Classification in Physical Reservoir Computing Unresolved cited work
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7-Methylquinolinium Iodobismuthate Memristor: Exploring Plasticity and Memristive Properties for Digit Classification in Physical Reservoir Computing H.;Heo, Y .-W.; Lee, S
Reference 26
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7-Methylquinolinium Iodobismuthate Memristor: Exploring Plasticity and Memristive Properties for Digit Classification in Physical Reservoir Computing Rigid Amine-Induced Pseudo -3 D Lead- Free Bismuth Halide Perovskite with an Improved Band Edge for Visible-Light Absorp�on
Reference 27
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7-Methylquinolinium Iodobismuthate Memristor: Exploring Plasticity and Memristive Properties for Digit Classification in Physical Reservoir Computing Bismuth triiodide complexes: structure, sp ectroscopy, electronic proper�es, and memris�ve proper�es
Reference 28
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7-Methylquinolinium Iodobismuthate Memristor: Exploring Plasticity and Memristive Properties for Digit Classification in Physical Reservoir Computing Synap�c plas�city, metaplas�city and memory effects in hybrid organic –inorganic bismuth -based materials
Reference 29
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7-Methylquinolinium Iodobismuthate Memristor: Exploring Plasticity and Memristive Properties for Digit Classification in Physical Reservoir Computing Memris�ve proper�es and synap�c plas�city in subs�tuted pyridinium iodobismuthates
Reference 30
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7-Methylquinolinium Iodobismuthate Memristor: Exploring Plasticity and Memristive Properties for Digit Classification in Physical Reservoir Computing A.;Marciszko-Wiąckowska, M.;Marzec, M.;Hess, G.;Georgiadou, D
Reference 31
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7-Methylquinolinium Iodobismuthate Memristor: Exploring Plasticity and Memristive Properties for Digit Classification in Physical Reservoir Computing Unresolved cited work
Reference 32
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7-Methylquinolinium Iodobismuthate Memristor: Exploring Plasticity and Memristive Properties for Digit Classification in Physical Reservoir Computing Unresolved cited work
Reference 33
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7-Methylquinolinium Iodobismuthate Memristor: Exploring Plasticity and Memristive Properties for Digit Classification in Physical Reservoir Computing J.;Bollt, E.;Griffith, A.; Barbosa, W
Reference 34
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7-Methylquinolinium Iodobismuthate Memristor: Exploring Plasticity and Memristive Properties for Digit Classification in Physical Reservoir Computing Reservoir Computing in robotics: a review
Reference 35
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Reference 36
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Reference 37
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7-Methylquinolinium Iodobismuthate Memristor: Exploring Plasticity and Memristive Properties for Digit Classification in Physical Reservoir Computing Unresolved cited work
Reference 38
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7-Methylquinolinium Iodobismuthate Memristor: Exploring Plasticity and Memristive Properties for Digit Classification in Physical Reservoir Computing Physical reservoir compu�ng —an introductory perspec�ve
Reference 39
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7-Methylquinolinium Iodobismuthate Memristor: Exploring Plasticity and Memristive Properties for Digit Classification in Physical Reservoir Computing B.;Nakane, R.;Kanazawa, N.;Takeda, S.;Numata, H.;Nakano, D.; Hirose, A
Reference 40
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7-Methylquinolinium Iodobismuthate Memristor: Exploring Plasticity and Memristive Properties for Digit Classification in Physical Reservoir Computing Reservoir Computing
Reference 41
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7-Methylquinolinium Iodobismuthate Memristor: Exploring Plasticity and Memristive Properties for Digit Classification in Physical Reservoir Computing An organized view of reservoir compu�ng: a perspec�ve on theory and technology development
Reference 42
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7-Methylquinolinium Iodobismuthate Memristor: Exploring Plasticity and Memristive Properties for Digit Classification in Physical Reservoir Computing Unresolved cited work
Reference 43
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7-Methylquinolinium Iodobismuthate Memristor: Exploring Plasticity and Memristive Properties for Digit Classification in Physical Reservoir Computing Unresolved cited work
Reference 44
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7-Methylquinolinium Iodobismuthate Memristor: Exploring Plasticity and Memristive Properties for Digit Classification in Physical Reservoir Computing Recent Progress of Organic –Inorganic Hybrid Perovskites in RRAM, Ar�ficial Synapse, and Logic Opera�on
Reference 45
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7-Methylquinolinium Iodobismuthate Memristor: Exploring Plasticity and Memristive Properties for Digit Classification in Physical Reservoir Computing Resis�ve switching and ar�ficial synap�c performances of memristor based on low -dimensional bismuth halide perovskites
Reference 46
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7-Methylquinolinium Iodobismuthate Memristor: Exploring Plasticity and Memristive Properties for Digit Classification in Physical Reservoir Computing J.;Kong, B.-S.; Yang, H
Reference 47
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Reference 48
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7-Methylquinolinium Iodobismuthate Memristor: Exploring Plasticity and Memristive Properties for Digit Classification in Physical Reservoir Computing How can ferroelectricity improve the performance of thin -layer memristors? In 2022 International Semiconductor Conference (CAS); IEEE, 2022; pp 13- 22
Reference 49
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7-Methylquinolinium Iodobismuthate Memristor: Exploring Plasticity and Memristive Properties for Digit Classification in Physical Reservoir Computing Unresolved cited work
Reference 50
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7-Methylquinolinium Iodobismuthate Memristor: Exploring Plasticity and Memristive Properties for Digit Classification in Physical Reservoir Computing Unresolved cited work
Reference 51
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Reference 52
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Reference 53
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Reference 54
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7-Methylquinolinium Iodobismuthate Memristor: Exploring Plasticity and Memristive Properties for Digit Classification in Physical Reservoir Computing G.;Côté, M.;Louie, S
Reference 55
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7-Methylquinolinium Iodobismuthate Memristor: Exploring Plasticity and Memristive Properties for Digit Classification in Physical Reservoir Computing A.;Wu, W.;Han, H.; Robertson, N
Reference 56
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Reference 57
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7-Methylquinolinium Iodobismuthate Memristor: Exploring Plasticity and Memristive Properties for Digit Classification in Physical Reservoir Computing Op�cal proper�es of amorphous semiconductors
Reference 58
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Reference 59
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7-Methylquinolinium Iodobismuthate Memristor: Exploring Plasticity and Memristive Properties for Digit Classification in Physical Reservoir Computing Amorphous Semiconductors: Structure, Op�cal, and Electrical Proper�es
Reference 60
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7-Methylquinolinium Iodobismuthate Memristor: Exploring Plasticity and Memristive Properties for Digit Classification in Physical Reservoir Computing Anion influence on electronic and op�cal proper�es of several iodobismuthates
Reference 61
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7-Methylquinolinium Iodobismuthate Memristor: Exploring Plasticity and Memristive Properties for Digit Classification in Physical Reservoir Computing Unresolved cited work
Reference 62
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7-Methylquinolinium Iodobismuthate Memristor: Exploring Plasticity and Memristive Properties for Digit Classification in Physical Reservoir Computing B.;Zhu, H.;Broqvist, P .;Edvinsson, T.;Boschloo, G.; Johansson, E
Reference 63
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Reference 64
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Reference 65
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7-Methylquinolinium Iodobismuthate Memristor: Exploring Plasticity and Memristive Properties for Digit Classification in Physical Reservoir Computing Bridging the gap between surface physics and photonics
Reference 66
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Reference 67
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7-Methylquinolinium Iodobismuthate Memristor: Exploring Plasticity and Memristive Properties for Digit Classification in Physical Reservoir Computing Elementary processes at semiconductor/electrolyte interfaces: perspec�ves and limits of electron spectroscopy
Reference 68
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7-Methylquinolinium Iodobismuthate Memristor: Exploring Plasticity and Memristive Properties for Digit Classification in Physical Reservoir Computing A.; Stutzmann, M
Reference 69
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7-Methylquinolinium Iodobismuthate Memristor: Exploring Plasticity and Memristive Properties for Digit Classification in Physical Reservoir Computing Memristors Based on Ni(II)-tetraaza[14]annulene Complexes: Toward an Unconven�onal Resis�ve Switching Mechanism
Reference 70
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Reference 71
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7-Methylquinolinium Iodobismuthate Memristor: Exploring Plasticity and Memristive Properties for Digit Classification in Physical Reservoir Computing D.;Ji, R.;Paulus, F.;Vaynzof, Y .; Deibel, C
Reference 72
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7-Methylquinolinium Iodobismuthate Memristor: Exploring Plasticity and Memristive Properties for Digit Classification in Physical Reservoir Computing W.;Jung, Y .-K.;Kim, G
Reference 73
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7-Methylquinolinium Iodobismuthate Memristor: Exploring Plasticity and Memristive Properties for Digit Classification in Physical Reservoir Computing High Performance of an In- Material Reservoir Compu�ng Device Achieved by Complex Dynamics in a Nanopar�cle Random Network Memristor
Reference 74
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7-Methylquinolinium Iodobismuthate Memristor: Exploring Plasticity and Memristive Properties for Digit Classification in Physical Reservoir Computing Benchmarking reservoir compu�ng for residen�al energy demand forecas�ng
Reference 75
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Reference 76
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7-Methylquinolinium Iodobismuthate Memristor: Exploring Plasticity and Memristive Properties for Digit Classification in Physical Reservoir Computing D.;Larger, L.;Murphy, T
Reference 77
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Reference 78
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Observation 566ee136-8d92-460b-8cf0-5c1b0a2a501c · outbound
Reference 79
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation cec4c9a0-2845-474b-a4fe-5d56458bc597 · outbound
Reference 80
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 6a720d81-4621-493f-8651-f3590dd44322 · outbound
7-Methylquinolinium Iodobismuthate Memristor: Exploring Plasticity and Memristive Properties for Digit Classification in Physical Reservoir Computing Nonlinearity in Memristors for Neuromorphic Dynamic Systems
Reference 81
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 3da3f578-ccf7-4189-b4ea-57baec648e64 · outbound
7-Methylquinolinium Iodobismuthate Memristor: Exploring Plasticity and Memristive Properties for Digit Classification in Physical Reservoir Computing Emerging dynamic memristors for neuromorphic reservoir compu�ng
Reference 82
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 73e69812-59d5-4484-8561-9c795abbc2f9 · outbound
7-Methylquinolinium Iodobismuthate Memristor: Exploring Plasticity and Memristive Properties for Digit Classification in Physical Reservoir Computing Dynamic memristor-based reservoir compu�ng for high-efficiency temporal signal processing
Reference 83
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 073136a4-11e6-4a31-818c-2b97ac7a0ccf · outbound
7-Methylquinolinium Iodobismuthate Memristor: Exploring Plasticity and Memristive Properties for Digit Classification in Physical Reservoir Computing Towards Embedded Computa�on with Building Materials
Reference 84
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation a41c1082-c442-43dc-acd8-796450c48fa5 · outbound
7-Methylquinolinium Iodobismuthate Memristor: Exploring Plasticity and Memristive Properties for Digit Classification in Physical Reservoir Computing Dead mater has memory! Phys
Reference 85
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation db7754b8-bbd8-465a-9aa5-0d2ca3c77018 · outbound
7-Methylquinolinium Iodobismuthate Memristor: Exploring Plasticity and Memristive Properties for Digit Classification in Physical Reservoir Computing Synthesis, structure and photoelectrochemical proper�es of the TiO2–Prussian blue nanocomposite
Reference 86
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 676cf867-fcb5-41df-bd86-6c77c958d2d5 · outbound
7-Methylquinolinium Iodobismuthate Memristor: Exploring Plasticity and Memristive Properties for Digit Classification in Physical Reservoir Computing Towards ‘Computer-on-a-Par�cle’ Devices: Optoelectronic 1:2 Demul�plexer Based on Nanostructured Cadmium Sulfide
Reference 87
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation fb7ad630-70aa-4821-a665-b68614898795 · outbound
7-Methylquinolinium Iodobismuthate Memristor: Exploring Plasticity and Memristive Properties for Digit Classification in Physical Reservoir Computing Characteriza�on of strange atractors
Reference 88
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 447b1c6f-722d-4cf3-8674-ad8b8f6b36a3 · outbound
7-Methylquinolinium Iodobismuthate Memristor: Exploring Plasticity and Memristive Properties for Digit Classification in Physical Reservoir Computing Correla�on dimension and systema�c geometric effects
Reference 89
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation f727ad12-3ab4-4478-ab51-d966129ee928 · outbound
7-Methylquinolinium Iodobismuthate Memristor: Exploring Plasticity and Memristive Properties for Digit Classification in Physical Reservoir Computing Memristor in a Reservoir System - Experimental Evidence for High-Level Compu�ng and Neuromorphic Behavior of PbI2
Reference 90
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 10b4544a-2836-44bd-ae97-cb95fb6dc08f · outbound
7-Methylquinolinium Iodobismuthate Memristor: Exploring Plasticity and Memristive Properties for Digit Classification in Physical Reservoir Computing Neuromorphic Applica�ons of a Mul�valued [SnI4{(C6H5)2SO}2] Memristor Incorporated in the Echo State Machine
Reference 91
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 1a603637-72a3-45eb-8c5c-2cae51e90a0a · outbound
7-Methylquinolinium Iodobismuthate Memristor: Exploring Plasticity and Memristive Properties for Digit Classification in Physical Reservoir Computing Reservoir Computing Benchmarks: a tutorial review and critique
Reference 92
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 40530e52-ffe4-45e6-a4f1-22df04192808 · outbound
Reference 93
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation c7987fe5-7219-4bae-84bb-440c893a8c33 · outbound
Reference 94
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 669cea61-b2f1-4c0a-bb2a-98b6b042c058 · outbound
7-Methylquinolinium Iodobismuthate Memristor: Exploring Plasticity and Memristive Properties for Digit Classification in Physical Reservoir Computing Fading memory and �me series predic�on in recurrent networks with different forms of plas�city
Reference 95
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 51065599-48f7-423a-9c70-0c091c7bd604 · outbound
7-Methylquinolinium Iodobismuthate Memristor: Exploring Plasticity and Memristive Properties for Digit Classification in Physical Reservoir Computing Rela�onships between tow defini�ons of fading memory for discrete -�me systems
Reference 96
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 42b52120-4b8a-43ec-8207-59af4b77ce63 · outbound
7-Methylquinolinium Iodobismuthate Memristor: Exploring Plasticity and Memristive Properties for Digit Classification in Physical Reservoir Computing Gradient-based learning applied to document recogni�on
Reference 97
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 260e47ee-a253-46a9-afbb-d3e18d0826aa · outbound
7-Methylquinolinium Iodobismuthate Memristor: Exploring Plasticity and Memristive Properties for Digit Classification in Physical Reservoir Computing Convolutional Neural Networks in Visual Computing: A Concise Guide; CRC Press: Boca Raton, 2017
Reference 98
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 22cf2c3d-0e43-44ba-9ee1-d8f542c371d3 · outbound
7-Methylquinolinium Iodobismuthate Memristor: Exploring Plasticity and Memristive Properties for Digit Classification in Physical Reservoir Computing L.;Matan, O.;Boser, B.;Denker, J
Reference 99
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 3e0fd7ae-0cfc-4752-a832-23497434b217 · outbound
7-Methylquinolinium Iodobismuthate Memristor: Exploring Plasticity and Memristive Properties for Digit Classification in Physical Reservoir Computing A.;Rowan, K.; Wilson, A
Reference 100
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
No inbound Pith citation observations are available.