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Paper Citation Record · LEDGER

Spatio-Temporal Decoupled Learning for Spiking Neural Networks

As of 8 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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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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Source-reported events for the cited work

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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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Observation 4dddd74c-f096-453a-b706-ec69a8ab95ec · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

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

Reference 31

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:55:31.927071Z digest=sha256:f27fd99441e525a39b3d6db27e8b898ccae32ec940f1eb1ec150e30559eef9f9

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

Resolution
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no resolver link, observed 2026-08-07T11:55:31.930661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:55:31.930661Z digest=sha256:0bae419afeed3e9582b604e2b7908176dc7131ada99ab084af55c0b22f20cba4

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

Resolution
unresolved
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=sha256:8e6f89659f322118f7e90447a19df77a1b4bf20800e98d0ad5780cb4b042f635

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:55:31.937470Z digest=sha256:53db9412a2c13cb5a7311582d9dff0cce16c6e7a2b185033cee015041babc40c

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

Resolution
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:55:31.940929Z digest=sha256:a721ea3a580ecdc3f6a2a14fb9aa48c704b9878c701817beda32d70929d37780

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

Resolution
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:55:31.944477Z digest=sha256:f6b78a7e8ee422f7624d864fa92b0874afaabe9dd366563be6b2ba401e3eff5e

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=sha256:1dd6702d10abdf999b5767a8818b5c0a9850ba6520abe0111395688b9f49a9a5

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=sha256:2b2a5f4d8311b6db0f2c335b19734fa8879107f539adbdb36479b074b98e5aef

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:55:31.955247Z digest=sha256:70125597b0e5dbb9e27b8bdf646b9204e3a9c4fb953f0dfd8d046cb8b6917c32

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=sha256:66539c6b4ee0e011a930539c5bb93d85334faeb3d6eaca9baba8769ef390880b

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=sha256:081a5e5a63db7827d306eb31796d27948b84d343074bb7d3ce0cacaeda98dc4c

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:55:31.966126Z digest=sha256:6b2d8b4261f291764dd847ba1084706108d64b2c87d8872cdbcde7381dc2063d

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:55:31.969499Z digest=sha256:58d5232578371b90e28e1180c4fd2aa2d268d81356467a6d39688e91e52cade8

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
unresolved
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=sha256:35f87743af897ce614dc473848d51622e83428c8669f24b43d441fbad54f373f

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=sha256:24c125d54f94cb3560752a1ea728f2d14b97d9ffe9a55be2ca3382c867f654c3

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:55:31.979744Z digest=sha256:b766905b17a8f6170ecdd8ad29fb7cf3f37a0613bf15c7550e6e84ead55a3982

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:55:31.983742Z digest=sha256:b8b1790847276ff77e3d2f14675d11ff494d165073f12212eb4cebbca50155b6

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

Resolution
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:aeb84bb9c39f3b644ad4f67c4589c9e851f98aeef119ab518226aa6b55b8e628

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:55:31.991303Z digest=sha256:bc42902922770270d6cf62e7b07475f718abaf2414429f9dbf48ab9c349bce77

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:55:31.994577Z digest=sha256:24439be173663b91366339fb81f4a3033059a3100f64c8651fa0fc58c5b21817

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:55:31.997918Z digest=sha256:95cfc0a95f3df20406f5c08de5b3a1d4c9755d1e21045899a06d3936da18eeac

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:55:32.001193Z digest=sha256:2be24b029cf53702112a487030a5d918b3f1f2a8af1d689cb8a51e889e910bf1

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:55:32.005489Z digest=sha256:3a0bb4b1e0ce4378b3d8ea318709a931417e2df0e151cb1f6115a24301484d6a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:55:32.008823Z digest=sha256:a3cf92a614ac831d881ea7160f38523df1bfc3f0fa4ef4b662bde15d2202d452

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:55:32.012555Z digest=sha256:c41f0133a2c5df461e699ecbc3c45fd9538e82f78c369e9e9ff1903510f0be61

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=sha256:0e4ede2c8e2c983914e838db56f7d5eb486dbf34430a3f9426c8200be147f27c

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

Resolution
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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=sha256:9440107ee8234f3fd8bc92a123a8edcffb58d06b76f5b0debf9eec51b10eea5e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:55:32.023618Z digest=sha256:2f1b6453201a3781024fd4e511f0d4c4e8f5fc25c963d07b6ccb297ee083b4c6

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:55:32.027149Z digest=sha256:4c12daa9efd4347d88686847dc3096add43b6a83d819cee6ff45f870f7b3a8c8

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:55:32.030626Z digest=sha256:ae607317bb486d6a49cef6f0e772a201dccd57b221adbaf294597f64faa90ef6

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=sha256:3add6829f8c25e2830cd82dbb51ab55f4e5350a393755e440099f57bda3ae91e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:55:32.038371Z digest=sha256:083cb92867eb497a768bda9db7e43bb7c2cae8c05c01d9bdc3d635109da893e8

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:55:32.042443Z digest=sha256:cad40c5f5bfab5e7c82909abc2c0368ef3ad6b1c163f4b9a3997773b045d8942

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

Resolution
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=sha256:0026e6081ca2f750bf1ff9c811cfe98e44bc8166ace41be9dcfa4b8b2387f682

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

Resolution
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:55:32.049257Z digest=sha256:a921876809528405b959b0acc109168970130dfb18af4f21893ffa8629b13487

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:55:32.052542Z digest=sha256:5452a20213eac6424db64931c63b3c32d13123daeaddebb9503aef96a6bb0518

Pith citing papers

No inbound Pith citation observations are available.