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Paper Citation Record · LEDGER

Spatio-Temporal Decoupled Learning for Spiking Neural Networks

As of 18 August 2026, this Paper Citation Record lists 71 of 71 outbound references and 0 inbound Pith citation observations for arXiv:2506.01117.

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

pith.paper-citation-record.v1
2506.01117 v1

Coverage vector

measured 71 of 71 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:55:32.052542Z

measured 71 of 71 standing notices

One-hop event checks from named stored sources.

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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

71 of 71 outbound references displayed

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External citation measurements

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Outbound references

Observation 72f557b9-2605-4eb5-8360-8c5de693cefb · outbound

This paper cites Dayan and L.

Spatio-Temporal Decoupled Learning for Spiking Neural Networks Dayan and L

Reference 1

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Observation 59df0d78-9a01-4955-92f3-f38e4e96d361 · outbound

This paper cites Evolution, brain, and the nature of language,.

Spatio-Temporal Decoupled Learning for Spiking Neural Networks Evolution, brain, and the nature of language,

Reference 2

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Observation 5d5c1a1e-c1c1-47df-bdf7-0d235c8dfcf4 · outbound

This paper cites A deep learning framework for neuroscience,.

Spatio-Temporal Decoupled Learning for Spiking Neural Networks A deep learning framework for neuroscience,

Reference 3

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Observation f9cb0830-bf2c-461a-a3aa-b7fa88b9c71e · outbound

This paper cites Cat- alyzing next-generation artificial intelligence through neuroai,.

Spatio-Temporal Decoupled Learning for Spiking Neural Networks Cat- alyzing next-generation artificial intelligence through neuroai,

Reference 4

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Observation 8839e29d-add3-4c16-821c-27cef5126384 · outbound

This paper cites Networks of spiking neurons: the third generation of neural network models,.

Spatio-Temporal Decoupled Learning for Spiking Neural Networks Networks of spiking neurons: the third generation of neural network models,

Reference 5

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Observation c98b7e5a-23e4-434a-adf8-1c52a85fa4da · outbound

This paper cites Towards spike-based machine intelligence with neuromorphic computing,.

Spatio-Temporal Decoupled Learning for Spiking Neural Networks Towards spike-based machine intelligence with neuromorphic computing,

Reference 6

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Observation 51ee4419-3cdd-4397-afb4-38708fbf16aa · outbound

This paper cites Deep learning,.

Spatio-Temporal Decoupled Learning for Spiking Neural Networks Deep learning,

Reference 7

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Observation 0ea27326-baa9-4588-a060-40b437d7390d · outbound

This paper cites Toward ultralow- power neuromorphic speech enhancement with spiking-fullsubnet,.

Spatio-Temporal Decoupled Learning for Spiking Neural Networks Toward ultralow- power neuromorphic speech enhancement with spiking-fullsubnet,

Reference 8

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Observation d3541d03-f484-4dc4-aa6b-469c70172d47 · outbound

This paper cites Loihi: A neuromorphic manycore processor with on-chip learning,.

Spatio-Temporal Decoupled Learning for Spiking Neural Networks Loihi: A neuromorphic manycore processor with on-chip learning,

Reference 9

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Observation c3a987db-0ffe-4e12-a1d5-afa732c09aaf · outbound

This paper cites Towards artificial general intelligence with hybrid tianjic chip architecture,.

Spatio-Temporal Decoupled Learning for Spiking Neural Networks Towards artificial general intelligence with hybrid tianjic chip architecture,

Reference 10

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Observation f2bd6e9d-9fdb-4ac6-9173-71c9fa58b476 · outbound

This paper cites Brain- inspired computing: A systematic survey and future trends,.

Spatio-Temporal Decoupled Learning for Spiking Neural Networks Brain- inspired computing: A systematic survey and future trends,

Reference 11

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Observation 6d6b8578-4712-467d-9c08-822121524bb9 · outbound

This paper cites Training spiking neural networks using lessons from deep learning,.

Spatio-Temporal Decoupled Learning for Spiking Neural Networks Training spiking neural networks using lessons from deep learning,

Reference 12

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Source-reported events for the cited work

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Observation 8ade834b-e1a1-4f53-b397-27d582849e02 · outbound

This paper cites Backpropagation through time: what it does and how to do it,.

Spatio-Temporal Decoupled Learning for Spiking Neural Networks Backpropagation through time: what it does and how to do it,

Reference 13

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Observation 5c63d424-198a-40c4-aed4-09480a0dfe49 · outbound

This paper cites Spatio-temporal backpropa- gation for training high-performance spiking neural networks,.

Spatio-Temporal Decoupled Learning for Spiking Neural Networks Spatio-temporal backpropa- gation for training high-performance spiking neural networks,

Reference 14

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Observation 4c2aa7bf-bd87-4ecf-86dd-44c06347b4bf · outbound

This paper cites Surrogate gradient learning in spiking neural networks: Bringing the power of gradient-based opti- mization to spiking neural networks,.

Spatio-Temporal Decoupled Learning for Spiking Neural Networks Surrogate gradient learning in spiking neural networks: Bringing the power of gradient-based opti- mization to spiking neural networks,

Reference 15

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Observation 5e3839ec-0668-42f8-a37e-7a7e9c085cd8 · outbound

This paper cites Learnable surrogate gradient for direct training spiking neural networks,.

Spatio-Temporal Decoupled Learning for Spiking Neural Networks Learnable surrogate gradient for direct training spiking neural networks,

Reference 16

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Observation ae934aa9-3a85-41cc-8ac0-3aac6a0ede98 · outbound

This paper cites Brain-inspired learning on neuromorphic substrates,.

Spatio-Temporal Decoupled Learning for Spiking Neural Networks Brain-inspired learning on neuromorphic substrates,

Reference 17

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Observation 76372c08-d658-4855-bdd8-a736af28df61 · outbound

This paper cites Deep spike learning with local classifiers,.

Spatio-Temporal Decoupled Learning for Spiking Neural Networks Deep spike learning with local classifiers,

Reference 18

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Observation 376b071d-1604-4f77-944d-4b567b153fd1 · outbound

This paper cites Scaling supervised local learning with augmented auxiliary networks,.

Spatio-Temporal Decoupled Learning for Spiking Neural Networks Scaling supervised local learning with augmented auxiliary networks,

Reference 19

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Observation ffc7ef82-1321-41b3-b073-a9560d40c7ed · outbound

This paper cites Synaptic modifications in cultured hip- pocampal neurons: dependence on spike timing, synaptic strength, and postsynaptic cell type,.

Spatio-Temporal Decoupled Learning for Spiking Neural Networks Synaptic modifications in cultured hip- pocampal neurons: dependence on spike timing, synaptic strength, and postsynaptic cell type,

Reference 20

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Observation 7904e8fd-0e7d-4961-bd18-88f16e233ee6 · outbound

This paper cites Unsupervised learning of digit recognition using spike-timing-dependent plasticity,.

Spatio-Temporal Decoupled Learning for Spiking Neural Networks Unsupervised learning of digit recognition using spike-timing-dependent plasticity,

Reference 21

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Observation 6b97084d-11d4-497d-be2c-8d2e9b585b01 · outbound

This paper cites STDP-based spiking deep convolutional neural networks for object recognition,.

Spatio-Temporal Decoupled Learning for Spiking Neural Networks STDP-based spiking deep convolutional neural networks for object recognition,

Reference 22

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Observation 57ac871b-2aeb-4924-acd6-e99c30a8dd6a · outbound

This paper cites A biologically plausible supervised learning method for spiking neural networks using the symmetric stdp rule,.

Spatio-Temporal Decoupled Learning for Spiking Neural Networks A biologically plausible supervised learning method for spiking neural networks using the symmetric stdp rule,

Reference 23

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Observation e96d78f4-cdec-4f09-87fc-22db240ab3d7 · outbound

This paper cites Online supervised learning for hardware- based multilayer spiking neural networks through the modulation of weight-dependent spike-timing-dependent plasticity,.

Spatio-Temporal Decoupled Learning for Spiking Neural Networks Online supervised learning for hardware- based multilayer spiking neural networks through the modulation of weight-dependent spike-timing-dependent plasticity,

Reference 24

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Observation 7a24665d-d9d2-46e9-80ca-ba0e109396a8 · outbound

This paper cites Memory-dependent computation and learning in spiking neural networks through hebbian plasticity,.

Spatio-Temporal Decoupled Learning for Spiking Neural Networks Memory-dependent computation and learning in spiking neural networks through hebbian plasticity,

Reference 25

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Observation df425173-a865-48ca-a380-9eee0e305b3e · outbound

This paper cites S-TLLR: STDP-inspired temporal local learning rule for spiking neural networks,.

Spatio-Temporal Decoupled Learning for Spiking Neural Networks S-TLLR: STDP-inspired temporal local learning rule for spiking neural networks,

Reference 26

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Observation ef8a8cb4-35a9-4057-9d58-37f19bb8257b · outbound

This paper cites Synaptic plasticity dynamics for deep continuous local learning (DECOLLE),.

Spatio-Temporal Decoupled Learning for Spiking Neural Networks Synaptic plasticity dynamics for deep continuous local learning (DECOLLE),

Reference 27

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Observation d57dce96-dc9c-447c-ac55-af4db895c1a3 · outbound

This paper cites Deep residual learning in spiking neural networks,.

Spatio-Temporal Decoupled Learning for Spiking Neural Networks Deep residual learning in spiking neural networks,

Reference 28

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Spatio-Temporal Decoupled Learning for Spiking Neural Networks Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 29

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Spatio-Temporal Decoupled Learning for Spiking Neural Networks Deep residual learning for image recognition,

Reference 30

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Observation 1b60b86e-c20d-42a8-96e7-1b8582c28b86 · outbound

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Spatio-Temporal Decoupled Learning for Spiking Neural Networks Learning multiple layers of features from tiny images,

Reference 31

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Observation 0d7d4c6a-0f23-460e-a9fc-33e9ad321a08 · outbound

This paper cites Reading digits in natural images with unsupervised feature learning,.

Spatio-Temporal Decoupled Learning for Spiking Neural Networks Reading digits in natural images with unsupervised feature learning,

Reference 32

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This paper cites Imagenet: A large-scale hierarchical image database,.

Spatio-Temporal Decoupled Learning for Spiking Neural Networks Imagenet: A large-scale hierarchical image database,

Reference 33

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Observation df46d5e6-665b-471d-a5db-1593d7d421e2 · outbound

This paper cites Cifar10-dvs: an event-stream dataset for object classification,.

Spatio-Temporal Decoupled Learning for Spiking Neural Networks Cifar10-dvs: an event-stream dataset for object classification,

Reference 34

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Observation 2383d861-6c8f-4979-8482-f795d718c375 · outbound

This paper cites Event-stream representation for human gaits identification using deep neural networks,.

Spatio-Temporal Decoupled Learning for Spiking Neural Networks Event-stream representation for human gaits identification using deep neural networks,

Reference 35

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Observation eb2d50f4-69d3-4f05-ac90-ae5f31b8d595 · outbound

This paper cites Hardvs: Revisiting human activity recognition with dynamic vision sensors,.

Spatio-Temporal Decoupled Learning for Spiking Neural Networks Hardvs: Revisiting human activity recognition with dynamic vision sensors,

Reference 36

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:55:31.927071Z digest=sha256:892dd3dea87472996118c79f9e98c727dbff89fb70dd103790579fa040297935

Observation 5cf2d0dc-0951-40bb-ae9b-000a0f1a875b · outbound

This paper cites Differen- tiable spike: Rethinking gradient-descent for training spiking neural networks,.

Spatio-Temporal Decoupled Learning for Spiking Neural Networks Differen- tiable spike: Rethinking gradient-descent for training spiking neural networks,

Reference 37

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:55:31.930661Z digest=sha256:1064ad9567d9385550a4bccda70b733658129d63089aac14a8fbeb4caffb155d

Observation eda03f95-3fc4-4ebc-aa30-b8ebed6681aa · outbound

This paper cites Adaptive smoothing gradient learning for spiking neural networks,.

Spatio-Temporal Decoupled Learning for Spiking Neural Networks Adaptive smoothing gradient learning for spiking neural networks,

Reference 38

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no resolver link, observed 2026-08-07T11:55:31.933931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:55:31.933931Z digest=sha256:7e41939e2098ee8497b8b7f18a4bedcb106f81552a16d5d92d155c3c4a11028e

Observation d1382954-278a-4b2d-b538-43dd1644482e · outbound

This paper cites Temporal efficient training of spiking neural network via gradient re-weighting,.

Spatio-Temporal Decoupled Learning for Spiking Neural Networks Temporal efficient training of spiking neural network via gradient re-weighting,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:55:32.413905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:55:31.937470Z digest=sha256:8ebf3394d2a8ce21de232e05c242214fa18db7e49c1dfae25ff03208c801b06d

Observation d36ce62b-4799-4dd8-accc-ed80818019a8 · outbound

This paper cites Recdis-snn: Rectifying membrane potential distribution for directly training spiking neural networks,.

Spatio-Temporal Decoupled Learning for Spiking Neural Networks Recdis-snn: Rectifying membrane potential distribution for directly training spiking neural networks,

Reference 40

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verified fuzzy
raw_fallback, observed 2026-08-07T11:55:32.402146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:55:31.940929Z digest=sha256:c8b6c432ddf2be849d3b1408b721fc3bc0ac81d4455bed729d4ba995dbd7e67f

Observation 58302838-bd99-4c59-adcd-55ea166a28b3 · outbound

This paper cites Going deeper with directly-trained larger spiking neural networks,.

Spatio-Temporal Decoupled Learning for Spiking Neural Networks Going deeper with directly-trained larger spiking neural networks,

Reference 41

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verified fuzzy
raw_fallback, observed 2026-08-07T11:55:32.391639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:55:31.944477Z digest=sha256:b6ed92ca61daf2b90d3b1b14f4a0ef1f99f31cea52adda6f1d0d4f7efb4ad656

Observation c0087c8b-af5e-4498-b17c-a043167b8e5c · outbound

This paper cites Temporal effective batch normalization in spiking neural networks,.

Spatio-Temporal Decoupled Learning for Spiking Neural Networks Temporal effective batch normalization in spiking neural networks,

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T11:55:31.947966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:55:31.947966Z digest=sha256:6d242cc6a3dd450e8f1f6d57b1b0885f63ea5433f72d9f01e80af3e7c485645b

Observation 247390d4-12ba-4293-86b7-862006e5b002 · outbound

This paper cites Incorporating learnable membrane time constant to enhance learning of spiking neural networks,.

Spatio-Temporal Decoupled Learning for Spiking Neural Networks Incorporating learnable membrane time constant to enhance learning of spiking neural networks,

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T11:55:31.951476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:55:31.951476Z digest=sha256:259a5cc120f90b064c236087b307034b76c5e7969dc8e2178ff87d1669869c96

Observation 6ba3d44b-aa37-4f95-8a2f-99e8e76660c0 · outbound

This paper cites Accurate and efficient time-domain classification with adaptive spiking recurrent neural networks,.

Spatio-Temporal Decoupled Learning for Spiking Neural Networks Accurate and efficient time-domain classification with adaptive spiking recurrent neural networks,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:55:32.367582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:55:31.955247Z digest=sha256:3340d96e7a478640d93071f2ea38cfdd56bce0b2534cbf14e956d27711c98a6c

Observation ec810cb3-16e2-46c6-bbd6-2a9a94615540 · outbound

This paper cites Glif: A unified gated leaky integrate-and-fire neuron for spiking neural networks,.

Spatio-Temporal Decoupled Learning for Spiking Neural Networks Glif: A unified gated leaky integrate-and-fire neuron for spiking neural networks,

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-07T11:55:31.958908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:55:31.958908Z digest=sha256:c0e18514317b663035e0a4aea81163b21495d4c7f4c5048c143f58cbceee7e1a

Observation a369b28c-c6f0-4517-bbd1-0e479b308ebb · outbound

This paper cites Attention spiking neural networks,.

Spatio-Temporal Decoupled Learning for Spiking Neural Networks Attention spiking neural networks,

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-07T11:55:31.962532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:55:31.962532Z digest=sha256:ef867fdf450efbfae31d1510895442159cc00b8574d660ce2c31c8baf67ef4d6

Observation 79601995-dc62-4282-b7a1-5c8c70872876 · outbound

This paper cites Attention-based deep spiking neural networks for temporal credit assignment problems,.

Spatio-Temporal Decoupled Learning for Spiking Neural Networks Attention-based deep spiking neural networks for temporal credit assignment problems,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:55:32.343744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:55:31.966126Z digest=sha256:433965b8d5b60642efa416f54ca9bfe7a2fc8ee81cc406800497ad52311be4b9

Observation f08b6d16-582d-4977-b129-e8ba85bc90fc · outbound

This paper cites A hybrid neural coding approach for pattern recognition with spiking neural networks,.

Spatio-Temporal Decoupled Learning for Spiking Neural Networks A hybrid neural coding approach for pattern recognition with spiking neural networks,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:55:32.332547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:55:31.969499Z digest=sha256:98b2198d666a7bd7643d87d5382675d2b06532b8e8e0253f49a55d5d6f55917d

Observation 7f89d371-289e-4dba-9d3b-f8d190761a9b · outbound

This paper cites Synaptic learning with augmented spikes,.

Spatio-Temporal Decoupled Learning for Spiking Neural Networks Synaptic learning with augmented spikes,

Reference 49

Resolution
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no resolver link, observed 2026-08-07T11:55:31.972941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:55:31.972941Z digest=sha256:41dfd4bffb926e13951e5e4d5b4d6275d43ca44bc0731f0287b99e36bdedd18b

Observation e62ea50f-d80f-493a-a1ea-e433cb7e288d · outbound

This paper cites Construct- ing accurate and efficient deep spiking neural networks with double- threshold and augmented schemes,.

Spatio-Temporal Decoupled Learning for Spiking Neural Networks Construct- ing accurate and efficient deep spiking neural networks with double- threshold and augmented schemes,

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-07T11:55:31.976334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:55:31.976334Z digest=sha256:f1f333fa8e0afa538bb4339cdaffb60375713e21cf547242f474af140a452b00

Observation c39092af-0733-416b-b76e-95b107a823ac · outbound

This paper cites Tc-lif: A two- compartment spiking neuron model for long-term sequential modelling,.

Spatio-Temporal Decoupled Learning for Spiking Neural Networks Tc-lif: A two- compartment spiking neuron model for long-term sequential modelling,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:55:32.309539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:55:31.979744Z digest=sha256:b2c893b5e8df2347c5f7e450dfd9ac8b6e525be8ec00639e5c3c6da22fae6812

Observation 61e245f2-f31c-476c-ba1e-33fe5f92db97 · outbound

This paper cites A parallel multi- compartment spiking neuron for multi-scale sequential modeling,.

Spatio-Temporal Decoupled Learning for Spiking Neural Networks A parallel multi- compartment spiking neuron for multi-scale sequential modeling,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:55:32.299180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:55:31.983742Z digest=sha256:efe87e8d51e10e875ecc07b591df40ed7e43c0f52ba43605334ac28ac4d3ac02

Observation 1909fa26-9b5e-4b6a-bf58-1adf77851908 · outbound

This paper cites Brain-Inspired Machine Intelligence: A Survey of Neurobiologically-Plausible Credit Assignment.

Spatio-Temporal Decoupled Learning for Spiking Neural Networks Brain-Inspired Machine Intelligence: A Survey of Neurobiologically-Plausible Credit Assignment

Reference 53

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unresolved
no resolver link, observed 2026-08-07T11:55:31.987393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:55:31.987393Z digest=sha256:da2759bf3a55772fcb9fde94a8bd61a794a398b2f05887ad2eb04a4362072149

Observation f187a4ae-25e8-475e-ab47-798892ddb838 · outbound

This paper cites Training spiking neural networks with local tandem learning,.

Spatio-Temporal Decoupled Learning for Spiking Neural Networks Training spiking neural networks with local tandem learning,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:55:32.287494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:55:31.991303Z digest=sha256:d200ca51aa77a96fe87ebac76ddcda8063c06ac6ddeff793585cc4cfb694fa02

Observation 01527c40-f352-464e-ac30-1c03623f44e7 · outbound

This paper cites Brain-inspired global-local learning incorpo- rated with neuromorphic computing,.

Spatio-Temporal Decoupled Learning for Spiking Neural Networks Brain-inspired global-local learning incorpo- rated with neuromorphic computing,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:55:32.276966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:55:31.994577Z digest=sha256:fd20436d9a4991d93b47563fd16da15df761e5b3108c9a614220dbdc34d12bad

Observation feab8d9f-b7f0-4313-8875-b4a5e01dfe0e · outbound

This paper cites Stsf: Spiking time sparse feedback learning for spiking neural networks,.

Spatio-Temporal Decoupled Learning for Spiking Neural Networks Stsf: Spiking time sparse feedback learning for spiking neural networks,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:55:32.265414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:55:31.997918Z digest=sha256:045577d1a23e8bd581e414fb7ecee2bd1f06d1966e3b139d05010cf2ee6cdc88

Observation da5aed37-b16b-46fc-9bae-54cf504878c9 · outbound

This paper cites A solution to the learning dilemma for recurrent networks of spiking neurons,.

Spatio-Temporal Decoupled Learning for Spiking Neural Networks A solution to the learning dilemma for recurrent networks of spiking neurons,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:55:32.253790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:55:32.001193Z digest=sha256:65ae444c926a9ed48695e5ca4bcf4d9022710d7d7a8354b3a13df0b30faa2f9f

Observation fa92ba26-251a-4453-8129-5db76c3fd121 · outbound

This paper cites Online training through time for spiking neural networks,.

Spatio-Temporal Decoupled Learning for Spiking Neural Networks Online training through time for spiking neural networks,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:55:32.242603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:55:32.005489Z digest=sha256:4409a8178610cf56d29b26fc1156e095562fd125711a4be29d682199dd07171d

Observation 9a8cd9be-c062-47cc-9ec9-8387af9c597e · outbound

This paper cites Towards memory-and time-efficient backpropagation for training spiking neural networks,.

Spatio-Temporal Decoupled Learning for Spiking Neural Networks Towards memory-and time-efficient backpropagation for training spiking neural networks,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:55:32.231513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:55:32.008823Z digest=sha256:cee7e439d30e69e37c238fdd809b3ae2d61103096013b42d748dd5f89b20b5dd

Observation 04a3c097-2d5c-4f1d-a01f-d615aacf48bc · outbound

This paper cites Accurate online training of dynamical spiking neural networks through forward propagation through time,.

Spatio-Temporal Decoupled Learning for Spiking Neural Networks Accurate online training of dynamical spiking neural networks through forward propagation through time,

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:55:32.220787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:55:32.012555Z digest=sha256:6832b704750529dc2f327e78c233c1046cb0da142c1dc6f304b73225e1955f3e

Observation 4efd4fc2-f04c-42aa-8e3b-6b2f9b57e03c · outbound

This paper cites Spiking deep convolutional neural networks for energy-efficient object recognition,.

Spatio-Temporal Decoupled Learning for Spiking Neural Networks Spiking deep convolutional neural networks for energy-efficient object recognition,

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-07T11:55:32.016179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:55:32.016179Z digest=sha256:94545edeefc1d5d2db6a6c1afc820858aa8dcf9ce6e2dfbf9e0b1323c36f092e

Observation 58f41515-d7ac-420b-9d28-9e6822e082d1 · outbound

This paper cites Toward high-accuracy and low-latency spiking neural networks with two-stage optimization,.

Spatio-Temporal Decoupled Learning for Spiking Neural Networks Toward high-accuracy and low-latency spiking neural networks with two-stage optimization,

Reference 62

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no resolver link, observed 2026-08-07T11:55:32.020022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:55:32.020022Z digest=sha256:a78981cfe53508edeaafb50c6410f235c679ea53abe6120ba98e8d49a90d5f64

Observation 79ac092d-89c5-419c-9a2c-9be6341d54e6 · outbound

This paper cites A tandem learning rule for effective training and rapid inference of deep spiking neural networks,.

Spatio-Temporal Decoupled Learning for Spiking Neural Networks A tandem learning rule for effective training and rapid inference of deep spiking neural networks,

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:55:32.196177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:55:32.023618Z digest=sha256:f1916608334ade1552b6a90a8342e3f6fe8694f5c5a7d285fe290e910750b1a9

Observation 4002d5a3-3172-4612-b3e7-6523941c09f0 · outbound

This paper cites Progressive tandem learning for pattern recognition with deep spiking neural networks,.

Spatio-Temporal Decoupled Learning for Spiking Neural Networks Progressive tandem learning for pattern recognition with deep spiking neural networks,

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:55:32.184366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:55:32.027149Z digest=sha256:1ed78ca50f6e59fb25be93f153602521274143a504c18b390ffd76e1ece040ca

Observation 5e97ec23-4723-41c5-ab0b-670d6c77f8f2 · outbound

This paper cites The organization of behavior: a neuropsycholocigal theory,.

Spatio-Temporal Decoupled Learning for Spiking Neural Networks The organization of behavior: a neuropsycholocigal theory,

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:55:32.172777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:55:32.030626Z digest=sha256:f03a3b467431accca779b7f730ab2dd93a143291f264a061f9bc8fc9ceb425c7

Observation 0c09d9cf-8fe9-4b0f-91d0-a2058e2d4822 · outbound

This paper cites Opening the Black Box of Deep Neural Networks via Information.

Spatio-Temporal Decoupled Learning for Spiking Neural Networks Opening the Black Box of Deep Neural Networks via Information

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-07T11:55:32.034372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:55:32.034372Z digest=sha256:c140270ac4a87517f9478d82105ab58777e8c0ee750613d9d7048e5e4458a908

Observation 5215ab75-9823-4e9d-8956-636818c47ac8 · outbound

This paper cites The power of depth for feedforward neural networks,.

Spatio-Temporal Decoupled Learning for Spiking Neural Networks The power of depth for feedforward neural networks,

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:55:32.160998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:55:32.038371Z digest=sha256:472518e98617e552c498b40607723bf23dbc1ddc355bd714c4be9ca1052913a7

Observation 2c0c669b-f957-4903-b759-3fd874884288 · outbound

This paper cites IM-loss: Information maximization loss for spiking neural networks,.

Spatio-Temporal Decoupled Learning for Spiking Neural Networks IM-loss: Information maximization loss for spiking neural networks,

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:55:32.148355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:55:32.042443Z digest=sha256:6c9b9649f0b729f60bcd180f895d1ae6b8bad0d803b08a59549bf8b1abfd2120

Observation dc8b36d0-4ce9-4da4-bbe7-cba812801e95 · outbound

This paper cites Spikingjelly: An open-source machine learning infrastructure platform for spike-based intelligence,.

Spatio-Temporal Decoupled Learning for Spiking Neural Networks Spikingjelly: An open-source machine learning infrastructure platform for spike-based intelligence,

Reference 69

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unresolved
no resolver link, observed 2026-08-07T11:55:32.045809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:55:32.045809Z digest=sha256:f88981e8083d9b051735b26463956d3665b13e6d1e29d64d9b1ecac7a5170cc8

Observation 530006bd-6526-4143-8543-40466e083f12 · outbound

This paper cites Inherent redundancy in spiking neural networks,.

Spatio-Temporal Decoupled Learning for Spiking Neural Networks Inherent redundancy in spiking neural networks,

Reference 70

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verified fuzzy
raw_fallback, observed 2026-08-07T11:55:32.128795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:55:32.049257Z digest=sha256:5dbf3cb04d07cd1b95980a3a265b59455ccc68fa178980ffc587aaf96fbcf9db

Observation ce6cdb7e-efc1-4d38-a096-bde5ec785c09 · outbound

This paper cites Similarity of neural network representations revisited,.

Spatio-Temporal Decoupled Learning for Spiking Neural Networks Similarity of neural network representations revisited,

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:55:32.117700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:55:32.052542Z digest=sha256:bef9e5a5ffa2eea19cccbc313cd25ff0432137940c9ac87b198905326874dee1

Pith citing papers

No inbound Pith citation observations are available.