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Paper Citation Record · LEDGER

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions

As of 14 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 0 inbound Pith citation observations for arXiv:2412.17654.

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

pith.paper-citation-record.v1
2412.17654 v1

Coverage vector

measured 54 of 54 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T05:24:30.218732Z

measured 54 of 54 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

54 of 54 outbound references displayed

  • verified exact8
  • verified fuzzy20
  • unresolved24
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

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Outbound references

Observation 2b1d1686-cd2d-4c0f-8adf-bb797550bbb1 · outbound

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

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions Networks of spiking neurons: The third generation of neural network models,

Reference 1

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Observation 868f1bc0-b9d9-46a4-89d9-5ebca92a89f5 · outbound

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

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions Towards spike-based machine intelligence with neuromorphic computing,

Reference 2

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Observation e9998e9b-c159-44fd-9e4f-57443a35578a · outbound

This paper cites A Hybrid Spiking Neural Network Reinforcement Learning Agent for Energy-Efficient Object Manipulation,.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions A Hybrid Spiking Neural Network Reinforcement Learning Agent for Energy-Efficient Object Manipulation,

Reference 3

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Observation 846345fe-f6a6-4a0a-acc4-ee6a5d51ca43 · outbound

This paper cites Spiking Deep Convolutional Neural Networks for Energy-Efficient Object Recognition,.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions Spiking Deep Convolutional Neural Networks for Energy-Efficient Object Recognition,

Reference 4

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Observation f5c4638a-c611-4699-87ea-87cb2b7bb86e · outbound

This paper cites Conversion of Continuous-Valued Deep Networks to Efficient Event-Driven Networks for Image Classification,.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions Conversion of Continuous-Valued Deep Networks to Efficient Event-Driven Networks for Image Classification,

Reference 5

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Observation 9b14a33a-7125-4f08-b654-235f926ab91b · outbound

This paper cites A Free Lunch From ANN: Towards Efficient, Accurate Spiking Neural Networks Calibration,.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions A Free Lunch From ANN: Towards Efficient, Accurate Spiking Neural Networks Calibration,

Reference 6

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Observation db6b0baa-dc08-4de5-a63f-3f8777399b31 · outbound

This paper cites Spiking Deep Residual Networks,.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions Spiking Deep Residual Networks,

Reference 7

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Observation 9d068311-8407-40c0-b497-ab9772c45f15 · outbound

This paper cites Optimized spiking neurons can classify images with high accuracy through temporal coding with two spikes,.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions Optimized spiking neurons can classify images with high accuracy through temporal coding with two spikes,

Reference 8

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Observation 3c0479f7-bb4c-493e-9b37-52516ef60aba · outbound

This paper cites Training Deep Spiking Neural Networks Using Backpropagation,.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions Training Deep Spiking Neural Networks Using Backpropagation,

Reference 9

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Observation d13d43c3-16bf-4faf-9b89-ab6639236257 · outbound

This paper cites Spatio-Temporal Backpropagation for Training High-Performance Spiking Neural Networks,.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions Spatio-Temporal Backpropagation for Training High-Performance Spiking Neural Networks,

Reference 10

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Observation cc9f6627-3e39-4093-95fe-61fb3e234738 · outbound

This paper cites SLAYER: Spike Layer Error Reassignment in Time,.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions SLAYER: Spike Layer Error Reassignment in Time,

Reference 11

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Observation ae233737-b6bd-448c-8799-94da3c8cc3fd · outbound

This paper cites an unresolved cited work.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions Unresolved cited work

Reference 12

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Observation 51cadf92-e151-458c-9e92-c75e0475dfd9 · outbound

This paper cites Enabling Spike-Based Backpropagation for Training Deep Neural Network Architectures,.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions Enabling Spike-Based Backpropagation for Training Deep Neural Network Architectures,

Reference 13

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Observation 957404bf-9b37-4189-9187-8ec685a62867 · outbound

This paper cites Unifying Activation- and Timing-based Learning Rules for Spiking Neural Networks.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions Unifying Activation- and Timing-based Learning Rules for Spiking Neural Networks

Reference 14

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Observation 6ef13cbb-180c-40f8-b43c-733c5d0f6755 · outbound

This paper cites Advancing Spiking Neural Networks Toward Deep Residual Learning,.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions Advancing Spiking Neural Networks Toward Deep Residual Learning,

Reference 15

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Observation 6a7b4ac9-d7d1-457f-9ea0-0d4d9f8eb25e · outbound

This paper cites Deep Residual Learning in Spiking Neural Networks,.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions Deep Residual Learning in Spiking Neural Networks,

Reference 16

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Observation 1879475f-b6b3-4a30-80b7-fabf18e4da92 · outbound

This paper cites Spikformer: When Spiking Neural Network Meets Transformer.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions Spikformer: When Spiking Neural Network Meets Transformer

Reference 17

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Observation 712923c8-45dd-497e-a931-70d4c580ea5e · outbound

This paper cites CLIF: Complementary Leaky Integrate-and-Fire Neuron for Spiking Neural Networks.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions CLIF: Complementary Leaky Integrate-and-Fire Neuron for Spiking Neural Networks

Reference 18

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Observation 1b787c82-b1ca-4ec7-9896-da635f80c319 · outbound

This paper cites Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks,.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks,

Reference 19

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Observation 30c930c9-d5b1-4801-9a50-152e51b864b6 · outbound

This paper cites GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks

Reference 20

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Observation a23d46ac-5e66-428a-be3e-2d238a5e0695 · outbound

This paper cites Exploiting nonlinear dendritic adaptive computation in training deep Spiking Neural Networks,.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions Exploiting nonlinear dendritic adaptive computation in training deep Spiking Neural Networks,

Reference 21

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Observation b45ae4ab-b5ac-49c1-a466-9191b5fda45e · outbound

This paper cites Enhancing Training of Spiking Neural Network with Stochastic Latency,.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions Enhancing Training of Spiking Neural Network with Stochastic Latency,

Reference 22

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation baec7fdf-28f4-4d4b-9e07-7525b06ee00f · outbound

This paper cites Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting

Reference 23

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Observation 57eaa8a7-e280-4dcb-b859-93e5c6fa84b3 · outbound

This paper cites Going Deeper With Directly-Trained Larger Spiking Neural Networks,.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions Going Deeper With Directly-Trained Larger Spiking Neural Networks,

Reference 24

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Observation f276ee53-78c6-4627-8542-aafefd79a5d3 · outbound

This paper cites Deep learning in spiking neural networks,.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions Deep learning in spiking neural networks,

Reference 25

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Observation 67774465-6aa6-4a30-b7fd-7e1e7a4582a1 · outbound

This paper cites Deep Directly-Trained Spiking Neural Networks for Object Detection,.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions Deep Directly-Trained Spiking Neural Networks for Object Detection,

Reference 26

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 321b10e7-0550-47b4-abf6-7a55afc7a626 · outbound

This paper cites High-Performance Temporal Reversible Spiking Neural Networks with $O(L)$ Training Memory and $O(1)$ Inference Cost.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions High-Performance Temporal Reversible Spiking Neural Networks with $O(L)$ Training Memory and $O(1)$ Inference Cost

Reference 27

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Observation f0386553-2716-4f0b-b3dc-72830b59b356 · outbound

This paper cites Online Training Through Time for Spiking Neural Networks.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions Online Training Through Time for Spiking Neural Networks

Reference 28

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Observation c0b5b70b-64a3-49d8-9dec-f7ba7cf0a624 · outbound

This paper cites Towards Memory- and Time-Efficient Backpropagation for Training Spiking Neural Networks,.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions Towards Memory- and Time-Efficient Backpropagation for Training Spiking Neural Networks,

Reference 29

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 45b1ce2b-8750-4f71-b9b0-c76ab72f428a · outbound

This paper cites TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural Networks,.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural Networks,

Reference 30

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 78433b3d-e857-4e2b-a3b0-0335ca880d04 · outbound

This paper cites Temporal-wise Attention Spiking Neural Networks for Event Streams Classification,.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions Temporal-wise Attention Spiking Neural Networks for Event Streams Classification,

Reference 31

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T05:24:30.158692Z digest=sha256:5f896977343ff5ca10641b78332aaad90d257ee0d92ee90a3fd8cd02e7e804d4

Observation 8c1afe2f-3e5a-4896-8203-face77ede56f · outbound

This paper cites Gated Attention Coding for Training High-performance and Efficient Spiking Neural Networks.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions Gated Attention Coding for Training High-performance and Efficient Spiking Neural Networks

Reference 32

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local_arxiv, observed 2026-08-11T05:24:30.627986Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation ae71ca6d-b7bc-4d23-857c-09e587c85baa · outbound

This paper cites Optimizing Spatio-Temporal Information Processing in Spiking Neural Networks via Unconstrained Leaky Integrate-and-Fire Neurons and Hybrid Coding.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions Optimizing Spatio-Temporal Information Processing in Spiking Neural Networks via Unconstrained Leaky Integrate-and-Fire Neurons and Hybrid Coding

Reference 33

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local_arxiv, observed 2026-08-11T05:24:30.617095Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T05:24:30.164826Z digest=sha256:984d8739f4710822e1f2710ab4c645cd0f80f10b28b991931fc762c97f17a96c

Observation d93ec6af-a417-479f-9cdc-d7cc4ceef69a · outbound

This paper cites DIET-SNN: Direct Input Encoding With Leakage and Threshold Optimization in Deep Spiking Neural Networks.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions DIET-SNN: Direct Input Encoding With Leakage and Threshold Optimization in Deep Spiking Neural Networks

Reference 34

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:24:30.168150Z digest=sha256:ff7095fcd84c350c22251cf1239f9205be3c3e0bcf1a65b608f1303e7c88e829

Observation 3781fb9e-cc6c-4028-9956-578d1842f122 · outbound

This paper cites Microsoft COCO: Common Objects in Context,.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions Microsoft COCO: Common Objects in Context,

Reference 35

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verified fuzzy
raw_fallback, observed 2026-08-11T05:24:31.169728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T05:24:30.171171Z digest=sha256:1e0af14048e4ca28b0eb0cc84b33c2c8dca20ec7a1c12bca119076f4cd87464a

Observation f75926d7-3621-4579-8a83-d1e93b73f9d8 · outbound

This paper cites The Pascal Visual Object Classes (VOC) Challenge,.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions The Pascal Visual Object Classes (VOC) Challenge,

Reference 36

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unresolved
no resolver link, observed 2026-08-11T05:24:30.174847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:24:30.174847Z digest=sha256:b8d90840325103f1356abf3ff60209c901aa0514e97b51aa489f7a1c16c667b7

Observation aece515c-4e4a-4386-a1b0-fb9e696b6067 · outbound

This paper cites Retinomorphic Object Detection in Asynchronous Visual Streams,.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions Retinomorphic Object Detection in Asynchronous Visual Streams,

Reference 37

Resolution
verified exact
doi, observed 2026-08-11T05:24:30.245999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T05:24:30.177325Z digest=sha256:1c5d57f2055b1d682056f3e79e78b6c869570e225e9786e70c4e8f9748501984

Observation 847cd980-b19b-4f45-853f-d1c3e542e92f · outbound

This paper cites You Only Look Once: Unified, Real-Time Object Detection,.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions You Only Look Once: Unified, Real-Time Object Detection,

Reference 38

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unresolved
no resolver link, observed 2026-08-11T05:24:30.179960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:24:30.179960Z digest=sha256:6640ee97332251e5fbd08d0bcc5e86baac69b53847876087b44a87b4c7425e02

Observation 997e1020-c212-456b-ae90-a203c96229c6 · outbound

This paper cites Spiking-YOLO: Spiking Neural Network for Energy-Efficient Object Detection,.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions Spiking-YOLO: Spiking Neural Network for Energy-Efficient Object Detection,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:24:31.161701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T05:24:30.182680Z digest=sha256:20c626e9934705da8e523b399b2e037daa0b09fb9eab8e12b2843cbb967f7047

Observation 3d6f3781-aaec-4c71-a748-4e4c4b0db444 · outbound

This paper cites Towards Fast and Accurate Object Detection in Bio-Inspired Spiking Neural Networks Through Bayesian Optimization,.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions Towards Fast and Accurate Object Detection in Bio-Inspired Spiking Neural Networks Through Bayesian Optimization,

Reference 40

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unresolved
no resolver link, observed 2026-08-11T05:24:30.185629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:24:30.185629Z digest=sha256:a234bbb7ccbe48ba17e9938f9547a45f789d6ea1367f066f6bcc7202a7763a31

Observation 7c80966f-559f-4ec9-ab52-ed6af6953f3d · outbound

This paper cites Trainable Spiking-YOLO for low-latency and high-performance object detection,.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions Trainable Spiking-YOLO for low-latency and high-performance object detection,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:24:31.153275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T05:24:30.188356Z digest=sha256:4edabb5ffa8747d88bba04d1bfbce270c8a9f734d0a76b71245ea0397f84a7f5

Observation 5f178ad5-2c5b-4ce0-a715-b6b3e0383e84 · outbound

This paper cites SFOD: Spiking Fusion Object Detector,.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions SFOD: Spiking Fusion Object Detector,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:24:31.144226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T05:24:30.190967Z digest=sha256:3d341e76f844280d13b2c3b1a3d7c8b1967062f48ad453ed9f07a43011a4e1a3

Observation 52d98a3f-58e1-41d2-99e4-b10c51d3fdf0 · outbound

This paper cites Improving Stability and Performance of Spiking Neural Networks through Enhancing Temporal Consistency.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions Improving Stability and Performance of Spiking Neural Networks through Enhancing Temporal Consistency

Reference 43

Resolution
verified exact
local_arxiv, observed 2026-08-11T05:24:30.545615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T05:24:30.193671Z digest=sha256:880aa42aa9178739d8054a15f657332f80137d029d195334ba215b62ae67c2ff

Observation 23d55c51-895e-4093-9c6d-37855c2630ee · outbound

This paper cites Direct Training for Spiking Neural Networks: Faster, Larger, Better.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions Direct Training for Spiking Neural Networks: Faster, Larger, Better

Reference 44

Resolution
verified exact
local_arxiv, observed 2026-08-11T05:24:30.534792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T05:24:30.196408Z digest=sha256:bbe4fb5940ce64af2d586c199bf12c833b011eb5e923ea710c0b838636158a8e

Observation 29deca50-5a76-433a-a85f-55be14a9f1a1 · outbound

This paper cites Rate Coding Or Direct Coding: Which One Is Better For Accurate, Robust, And Energy-Efficient Spiking Neural Networks?,.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions Rate Coding Or Direct Coding: Which One Is Better For Accurate, Robust, And Energy-Efficient Spiking Neural Networks?,

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-11T05:24:30.199084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:24:30.199084Z digest=sha256:a042317def497bea22102f0e2f360cd01eacde44c22fcae9b962da39a0b2de9d

Observation 9ca15c33-ec17-40ab-b374-2880e92a00b3 · outbound

This paper cites Neural Coding in Spiking Neural Networks: A Comparative Study for Robust Neuromorphic Systems,.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions Neural Coding in Spiking Neural Networks: A Comparative Study for Robust Neuromorphic Systems,

Reference 46

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no resolver link, observed 2026-08-11T05:24:30.201208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:24:30.201208Z digest=sha256:d7d5e25de1e5dfc84f70a6139e05cff30fecdbd0e5a0862d9005761c482942eb

Observation 9ac47dd6-046e-4b2f-b60e-77a8f3a558ff · outbound

This paper cites Conversion of analog to spiking neural networks using sparse temporal coding,.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions Conversion of analog to spiking neural networks using sparse temporal coding,

Reference 47

Resolution
metadata mismatch
raw_fallback, observed 2026-08-11T05:24:30.411164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T05:24:30.204549Z digest=sha256:1f56d9f97fbf110a15a4a8c224648a691b5c273768a60f12d360c85a17919cbd

Observation be82cb17-2f39-4877-b28e-6624dadb1fac · outbound

This paper cites T2FSNN: Deep Spiking Neural Networks with Time-to-first-spike Coding,.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions T2FSNN: Deep Spiking Neural Networks with Time-to-first-spike Coding,

Reference 48

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unresolved
no resolver link, observed 2026-08-11T05:24:30.207567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:24:30.207567Z digest=sha256:e86d5ff79b6ec8444e909418f3f98f776cf859e8750e4d49427e5a39857f015e

Observation 44d1d5be-5c19-4419-a0e9-3eca911c7007 · outbound

This paper cites Surrogate Gradient Learning in Spiking Neural Networks: Bringing the Power of Gradient-based optimization to spiking neural networks,.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions Surrogate Gradient Learning in Spiking Neural Networks: Bringing the Power of Gradient-based optimization to spiking neural networks,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:24:31.135711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T05:24:30.209598Z digest=sha256:c09315b5012d06bd6d7a2969fac148b728e3745e91acd00d79125ad168c517ec

Observation 9b102c43-be00-4e17-b7a9-a599e902f046 · outbound

This paper cites Cooperative behavior in periodically driven noisy integrate-fire models of neuronal dynamics,.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions Cooperative behavior in periodically driven noisy integrate-fire models of neuronal dynamics,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:24:31.127541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T05:24:30.212467Z digest=sha256:ddc67c2234a2c61197cc2aacff2866c50a8b3ad3b3ad6bddc9ea176efb1213a8

Observation 37c2d65e-ef61-40e5-b342-5d26d9f7df52 · outbound

This paper cites Spiking Deep Networks with LIF Neurons.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions Spiking Deep Networks with LIF Neurons

Reference 51

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no resolver link, observed 2026-08-11T05:24:30.214373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:24:30.214373Z digest=sha256:3638b53f13e84da7c4f7685705f284270ddc7b5196436bd5737adb3e1bb5e299

Observation c8d4d03c-91dc-406f-92ee-8ea4f9763079 · outbound

This paper cites SPIKING NEURON MODELS Single Neurons , Populations , Plasticity,.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions SPIKING NEURON MODELS Single Neurons , Populations , Plasticity,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:24:31.119172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T05:24:30.216797Z digest=sha256:c5c3eb91a39d21417fd825b4bbdbc39d845ef6e9dfcecd3b32125a7c16db00ec

Observation f1cf2a13-ae6c-4c39-bb72-ffa866a97d2d · outbound

This paper cites Threaten Spiking Neural Networks through Combining Rate and Temporal Information,.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions Threaten Spiking Neural Networks through Combining Rate and Temporal Information,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:24:31.108811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T05:24:30.218732Z digest=sha256:e1b74a130a857e0ca83f899ff0b9d52ebff54e2a85479c744bd215be04b52b48

Observation ee9beca7-b0b2-4c35-96d9-686df3780cc3 · outbound

This paper cites Available: https://proceedings.mlr.press/v139/li21d.html.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions Available: https://proceedings.mlr.press/v139/li21d.html

Reference 2021

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verified fuzzy
raw_fallback, observed 2026-08-11T05:24:31.254408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T05:24:30.088411Z digest=sha256:c730a8d46defd0ff8a37de44316badf9d2205b33dc0e032cba4da6a3750fc157

Pith citing papers

No inbound Pith citation observations are available.