Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-03T13:05:05.310263Z
Paper Citation Record · LEDGER
As of 7 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2601.00668.
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 2026-08-03T13:05:05.310263Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+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
41 of 41 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation c78d3037-9a82-4506-bb56-08d57659cb89 · outbound
Three factor delay learning rules for spiking neural networks Bittar and P
Reference 1
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Unavailable: canonical work link unavailable.
Observation 8da12266-9e76-44e5-a829-f1a0a2573f6b · outbound
Three factor delay learning rules for spiking neural networks Yinet al.Accurate and efficient time-domain classification with adaptive spiking recurrent neural networks.Nature Machine Intelligence, 3(10):905–913, October 2021
Reference 2
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Unavailable: canonical work link unavailable.
Observation 7429504c-f51d-4754-89f6-407c4c3658b6 · outbound
Three factor delay learning rules for spiking neural networks Deckerset al.Co-learning synaptic delays, weights and adaptation in spiking neural networks.Frontiers in Neuroscience, 18:1360300, April 2024
Reference 3
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Unavailable: canonical work link unavailable.
Observation f33b2175-0883-49ff-8abe-56b91d905c86 · outbound
Three factor delay learning rules for spiking neural networks Hammouamriet al.Learning delays in spiking neural networks using dilated convolutions with learnable spacings
Reference 4
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Observation caa0262a-6efa-4c77-8618-211ab0541f56 · outbound
Three factor delay learning rules for spiking neural networks Sunet al.Learnable axonal delay in spiking neural networks improves spoken word recognition.Frontiers in Neuroscience, 17:1275944, November 2023
Reference 5
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Observation 5d5dcf83-21d1-4ede-987a-9714ce6365a5 · outbound
Three factor delay learning rules for spiking neural networks Unresolved cited work
Reference 6
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Observation e3775ed2-06fb-4303-92a5-cee3ed52a45c · outbound
Three factor delay learning rules for spiking neural networks Unresolved cited work
Reference 7
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Observation 9c85a30d-2955-495b-8b72-41c2897bc172 · outbound
Three factor delay learning rules for spiking neural networks Unresolved cited work
Reference 8
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Observation 05deb2ff-1754-4b26-8c4e-d2b4d871d6ab · outbound
Three factor delay learning rules for spiking neural networks Debanneet al.Axon Physiology.Physiological Reviews, 91(2):555– 602, April 2011
Reference 9
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Observation 60718a76-5727-48a6-a028-71a08c2da589 · outbound
Three factor delay learning rules for spiking neural networks London and M
Reference 10
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Observation a34a8620-533d-48ec-9592-1222e1de6d56 · outbound
Three factor delay learning rules for spiking neural networks Unresolved cited work
Reference 11
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Unavailable: canonical work link unavailable.
Observation a4c18bc8-bd24-4973-b1dd-14d6409a7726 · outbound
Three factor delay learning rules for spiking neural networks Sunet al.Axonal Delay as a Short-Term Memory for Feed Forward Deep Spiking Neural Networks
Reference 12
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Observation fb342647-1a78-4ed3-8e8b-37084fd4a93c · outbound
Three factor delay learning rules for spiking neural networks Khalfaoui-Hassaniet al.Dilated convolution with learnable spacings
Reference 13
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Unavailable: canonical work link unavailable.
Observation a938df76-8b35-45bf-9339-5bdf5576e95d · outbound
Three factor delay learning rules for spiking neural networks Learning Delays Through Gradients and Structure: Emergence of Spatiotemporal Patterns in Spiking Neural Networks
Reference 14
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Observation a95f5986-de3e-4179-80c8-70e0eaca7790 · outbound
Three factor delay learning rules for spiking neural networks Unresolved cited work
Reference 15
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Unavailable: canonical work link unavailable.
Observation 2234b28e-b4ec-418b-877c-e7f5e8c7a8b3 · outbound
Three factor delay learning rules for spiking neural networks Efficient Event-based Delay Learning in Spiking Neural Networks
Reference 16
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Unavailable: canonical work link unavailable.
Observation 9533f5a0-5351-4ca7-aec7-c3d5c93f9abf · outbound
Three factor delay learning rules for spiking neural networks Nowotnyet al.Loss shaping enhances exact gradient learning with Eventprop in spiking neural networks.Neuromorphic Computing and Engineering, 5(1):014001, March 2025
Reference 17
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Unavailable: canonical work link unavailable.
Observation 85a55c4d-fd91-4450-b0d1-5afe4eeb6e88 · outbound
Three factor delay learning rules for spiking neural networks Jaderberget al.Decoupled neural interfaces using synthetic gradients
Reference 18
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Observation 31781c24-9a2d-4e86-9c9e-ddc552492fe5 · outbound
Three factor delay learning rules for spiking neural networks Unresolved cited work
Reference 19
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Observation adb33ac7-d0ee-4a98-8b9f-c3842fdced04 · outbound
Three factor delay learning rules for spiking neural networks Benzinget al.Optimal Kronecker-sum approximation of real time recurrent learning
Reference 20
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Observation 7039b493-2e96-4a51-8e00-01c44236c1e1 · outbound
Three factor delay learning rules for spiking neural networks Tallec and Y
Reference 21
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Unavailable: canonical work link unavailable.
Observation f5bb07ac-6837-4ca3-b7d1-0d595a797de0 · outbound
Three factor delay learning rules for spiking neural networks Gerstneret al.Eligibility Traces and Plasticity on Behavioral Time Scales: Experimental Support of NeoHebbian Three-Factor Learning Rules
Reference 22
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Observation bf6058a8-768b-4f50-9c75-f31080b14d62 · outbound
Three factor delay learning rules for spiking neural networks Unresolved cited work
Reference 23
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Unavailable: canonical work link unavailable.
Observation 3d34af70-c1b1-4f21-b333-510ea4446ed5 · outbound
Three factor delay learning rules for spiking neural networks Liaoet al.How important is weight symmetry in backpropagation? In Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, AAAI’16, pp
Reference 24
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Unavailable: canonical work link unavailable.
Observation 5fdcae9c-3036-41fb-b9fa-6b4a63def536 · outbound
Three factor delay learning rules for spiking neural networks Bi and M.-m
Reference 25
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Unavailable: canonical work link unavailable.
Observation 0c1860df-874f-4e6f-a835-b33c38162947 · outbound
Three factor delay learning rules for spiking neural networks Marschallet al.A unified framework of online learning algorithms for training recurrent neural networks.J
Reference 26
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Unavailable: canonical work link unavailable.
Observation 1db8166e-7bd3-4c92-9f44-184ec0b29aa4 · outbound
Three factor delay learning rules for spiking neural networks Zenke and S
Reference 27
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 21a224a2-1aba-4526-a1c9-c62cfbcc3310 · outbound
Three factor delay learning rules for spiking neural networks Bellecet al.A solution to the learning dilemma for recurrent networks of spiking neurons.Nature Communications, 11(1):3625, July 2020
Reference 28
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 319f2432-83fa-4d80-9453-06eb7d39da43 · outbound
Three factor delay learning rules for spiking neural networks Kaiseret al.Synaptic Plasticity Dynamics for Deep Continuous Local Learning (DECOLLE).Frontiers in Neuroscience, 14:424, May 2020
Reference 29
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8cce2d80-604e-49b8-9d7c-4feda1107f79 · outbound
Three factor delay learning rules for spiking neural networks Bohnstinglet al.Online Spatio-Temporal Learning in Deep Neural Networks.IEEE Transactions on Neural Networks and Learning Systems, pp
Reference 30
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Unavailable: canonical work link unavailable.
Observation 8246e98a-6167-4165-849a-79b72731d909 · outbound
Three factor delay learning rules for spiking neural networks Unresolved cited work
Reference 31
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Observation 5be7cc02-1b06-4e7c-8beb-78ae7c55958d · outbound
Three factor delay learning rules for spiking neural networks Gerstneret al
Reference 32
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Observation 0f027131-b6b2-4c07-accd-572cdbb9a2d7 · outbound
Three factor delay learning rules for spiking neural networks DelGrad: Exact event-based gradients for training delays and weights on spiking neuromorphic hardware
Reference 33
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Unavailable: canonical work link unavailable.
Observation 55fbb5d8-265a-4186-99a1-ca20fdec8a1f · outbound
Three factor delay learning rules for spiking neural networks Wanget al.A Delay Learning Algorithm Based on Spike Train Kernels for Spiking Neurons.Frontiers in Neuroscience, 13:252, March 2019
Reference 34
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Unavailable: canonical work link unavailable.
Observation b27de4ce-74c4-4f9e-8e53-72d5c66236f9 · outbound
Three factor delay learning rules for spiking neural networks Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition
Reference 35
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Unavailable: canonical work link unavailable.
Observation f18e84f4-7025-4114-9de9-a5cbb67ac9f3 · outbound
Three factor delay learning rules for spiking neural networks Fanget al.Spikingjelly: An open-source machine learning in- frastructure platform for spike-based intelligence.Science Advances, 9(40):eadi1480, 2023
Reference 36
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Unavailable: canonical work link unavailable.
Observation fe0fb308-3c4c-4751-86c9-965b9aada39c · outbound
Three factor delay learning rules for spiking neural networks Baroniget al.Advancing spatio-temporal processing through adaptation in spiking neural networks.Nature Communications, 16(1):5776, July 2025
Reference 37
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Observation 4a123ca9-beae-4f4b-a003-b5ff4d52ddcd · outbound
Three factor delay learning rules for spiking neural networks Sch ¨oneet al.Scalable Event-by-Event Processing of Neuromorphic Sensory Signals with Deep State-Space Models
Reference 38
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Observation 12fb3861-878a-4c54-b5d8-60b6a0a1e4ca · outbound
Three factor delay learning rules for spiking neural networks S7: Selective and Simplified State Space Layers for Sequence Modeling
Reference 39
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Observation f6b6eb02-7eb1-43ff-b7da-59878a589f92 · outbound
Three factor delay learning rules for spiking neural networks Frenkel and G
Reference 40
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Observation 126e2a80-e9ae-4ab8-8d55-1332d83d1b2d · outbound
Three factor delay learning rules for spiking neural networks Davieset al.Loihi: A Neuromorphic Manycore Processor with On- Chip Learning.IEEE Micro, 38(1):82–99, January 2018
Reference 41
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No inbound Pith citation observations are available.