SpikeX: Exploring Accelerator Architecture and Network-Hardware Co-Optimization for Sparse Spiking Neural Networks | Paper Citation Record

Observation 15d6057f-ec32-4653-b8cc-c5edca5e19e8 · outbound

This paper cites Truenorth: Design and tool flow of a 65 mw 1 million neuron programmable neurosynaptic chip,.

SpikeX: Exploring Accelerator Architecture and Network-Hardware Co-Optimization for Sparse Spiking Neural Networks Truenorth: Design and tool flow of a 65 mw 1 million neuron programmable neurosynaptic chip,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:43:28.223843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7f8a52d4-7833-4ee1-9658-d4a5e3f9467a · outbound

This paper cites A low power, fully event-based gesture recognition system,.

SpikeX: Exploring Accelerator Architecture and Network-Hardware Co-Optimization for Sparse Spiking Neural Networks A low power, fully event-based gesture recognition system,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:43:28.151733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a3096bbd-0c3e-4286-89d2-ad65cb71ea18 · outbound

This paper cites A low power, fully event-based gesture recognition system,.

SpikeX: Exploring Accelerator Architecture and Network-Hardware Co-Optimization for Sparse Spiking Neural Networks A low power, fully event-based gesture recognition system,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:43:28.139945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1b41b68f-5a6b-4655-b2e9-c8eeee5ab1fe · outbound

This paper cites Hard- ware/software co-design with adc-less in-memory computing hardware for spiking neural networks,.

SpikeX: Exploring Accelerator Architecture and Network-Hardware Co-Optimization for Sparse Spiking Neural Networks Hard- ware/software co-design with adc-less in-memory computing hardware for spiking neural networks,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:43:28.120942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 967a8740-1768-4d6e-84b7-7c75fdbd665e · outbound

This paper cites Are snns truly energy-efficient?—a hardware perspective,.

SpikeX: Exploring Accelerator Architecture and Network-Hardware Co-Optimization for Sparse Spiking Neural Networks Are snns truly energy-efficient?—a hardware perspective,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:43:27.958259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f803fabf-d005-46eb-8e6e-d4b3807ac418 · outbound

This paper cites Efficient biologically-plausible training of spiking neural networks with precise timing,.

SpikeX: Exploring Accelerator Architecture and Network-Hardware Co-Optimization for Sparse Spiking Neural Networks Efficient biologically-plausible training of spiking neural networks with precise timing,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:43:27.947605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 51f4a5b4-eba6-425b-bb4b-ef0606ce35ab · outbound

This paper cites Comparison of classifier methods: a case study in handwritten digit recognition,.

SpikeX: Exploring Accelerator Architecture and Network-Hardware Co-Optimization for Sparse Spiking Neural Networks Comparison of classifier methods: a case study in handwritten digit recognition,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:43:27.934352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f01f2aae-fdee-4693-b8ec-00f3d4bbea4a · outbound

This paper cites Eyeriss: An energy- efficient reconfigurable accelerator for deep convolutional neural net- works,.

SpikeX: Exploring Accelerator Architecture and Network-Hardware Co-Optimization for Sparse Spiking Neural Networks Eyeriss: An energy- efficient reconfigurable accelerator for deep convolutional neural net- works,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:43:27.883068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e6bd069e-e7b0-4970-8ee9-7248e0ccdbca · outbound

This paper cites Taking neuromorphic computing to the next level with loihi 2,.

SpikeX: Exploring Accelerator Architecture and Network-Hardware Co-Optimization for Sparse Spiking Neural Networks Taking neuromorphic computing to the next level with loihi 2,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:43:27.764480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation cc930a45-3bf2-4ce9-b736-15bfd90341e9 · outbound

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

SpikeX: Exploring Accelerator Architecture and Network-Hardware Co-Optimization for Sparse Spiking Neural Networks Loihi: A neuromorphic manycore processor with on-chip learning,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:43:27.691635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b309531f-051b-460a-afe5-c19ad14f4f14 · outbound

This paper cites A large-scale model of the functioning brain,.

SpikeX: Exploring Accelerator Architecture and Network-Hardware Co-Optimization for Sparse Spiking Neural Networks A large-scale model of the functioning brain,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T20:43:25.293410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f906718f-b981-4430-b91b-8eaeb34f826a · outbound

This paper cites Neural architecture search: A survey,.

SpikeX: Exploring Accelerator Architecture and Network-Hardware Co-Optimization for Sparse Spiking Neural Networks Neural architecture search: A survey,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T20:43:25.301002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation afec5264-abf5-4739-8757-5afc6ea30d83 · outbound

This paper cites Audio and image cross-modal intelligence via a 10tops/w 22nm soc with back-propagation and dynamic power gating,.

SpikeX: Exploring Accelerator Architecture and Network-Hardware Co-Optimization for Sparse Spiking Neural Networks Audio and image cross-modal intelligence via a 10tops/w 22nm soc with back-propagation and dynamic power gating,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:43:27.666391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation fffd024d-d6af-4cc0-89be-5e62a3be303e · outbound

This paper cites Aimmi: Audio and image multi-modal intelligence via a low-power soc with 2-mbyte on- chip mram for iot devices,.

SpikeX: Exploring Accelerator Architecture and Network-Hardware Co-Optimization for Sparse Spiking Neural Networks Aimmi: Audio and image multi-modal intelligence via a low-power soc with 2-mbyte on- chip mram for iot devices,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:43:27.656026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 17228c92-3c50-4937-8cd8-f5f5d24de167 · outbound

This paper cites Sparse coding,.

SpikeX: Exploring Accelerator Architecture and Network-Hardware Co-Optimization for Sparse Spiking Neural Networks Sparse coding,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:43:27.644955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 10fdbc4f-875a-46cd-9bcf-15438c72ded0 · outbound

This paper cites The spinnaker project,.

SpikeX: Exploring Accelerator Architecture and Network-Hardware Co-Optimization for Sparse Spiking Neural Networks The spinnaker project,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:43:27.635246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5640cb90-8b79-499d-88ac-5f93ef549c36 · outbound

This paper cites The spinnaker project,.

SpikeX: Exploring Accelerator Architecture and Network-Hardware Co-Optimization for Sparse Spiking Neural Networks The spinnaker project,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T20:43:25.321765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 028cfa3d-e80a-42e9-a39b-b66cc09582f9 · outbound

This paper cites Highly efficient neuromorphic learning system of spiking neural network with multi-compartment leaky integrate-and-fire neurons,.

SpikeX: Exploring Accelerator Architecture and Network-Hardware Co-Optimization for Sparse Spiking Neural Networks Highly efficient neuromorphic learning system of spiking neural network with multi-compartment leaky integrate-and-fire neurons,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:43:27.615033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 483eea61-9f19-4bf4-b6f6-3405ff763d43 · outbound

This paper cites A survey of fpga-based neural network accelerator,.

SpikeX: Exploring Accelerator Architecture and Network-Hardware Co-Optimization for Sparse Spiking Neural Networks A survey of fpga-based neural network accelerator,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:43:27.552978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 88e8846d-fa26-4fa1-825a-930e33275256 · outbound

This paper cites A quantitative description of membrane current and its application to conduction and excitation in nerve,.

SpikeX: Exploring Accelerator Architecture and Network-Hardware Co-Optimization for Sparse Spiking Neural Networks A quantitative description of membrane current and its application to conduction and excitation in nerve,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T20:43:25.550534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0563e945-d259-4411-9e0d-8a9557af1415 · outbound

This paper cites Hybrid macro/micro level backpropagation for training deep spiking neural networks,.

SpikeX: Exploring Accelerator Architecture and Network-Hardware Co-Optimization for Sparse Spiking Neural Networks Hybrid macro/micro level backpropagation for training deep spiking neural networks,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:43:27.425456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5b450f61-63a6-4a6a-b816-337876b8c13e · outbound

This paper cites In-datacenter performance analysis of a tensor processing unit,.

SpikeX: Exploring Accelerator Architecture and Network-Hardware Co-Optimization for Sparse Spiking Neural Networks In-datacenter performance analysis of a tensor processing unit,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T20:43:25.576021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d5c9b5c-90f9-4519-bf3c-a44651cc2a55 · outbound

This paper cites Understanding reuse, performance, and hardware cost of dnn dataflow: A data-centric approach,.

SpikeX: Exploring Accelerator Architecture and Network-Hardware Co-Optimization for Sparse Spiking Neural Networks Understanding reuse, performance, and hardware cost of dnn dataflow: A data-centric approach,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-15T20:43:25.587324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96ade45c-8b7c-411a-92bd-e42864f2fcbb · outbound

This paper cites Reconfigurable dataflow optimization for spatiotem- poral spiking neural computation on systolic array accelerators,.

SpikeX: Exploring Accelerator Architecture and Network-Hardware Co-Optimization for Sparse Spiking Neural Networks Reconfigurable dataflow optimization for spatiotem- poral spiking neural computation on systolic array accelerators,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-15T20:43:25.590456Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37b965d5-20df-47ba-845f-5980273cf56f · outbound

This paper cites Parallel time batching: Systolic-array acceleration of sparse spiking neural computation,.

SpikeX: Exploring Accelerator Architecture and Network-Hardware Co-Optimization for Sparse Spiking Neural Networks Parallel time batching: Systolic-array acceleration of sparse spiking neural computation,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:43:27.395429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 917d8de1-51f7-4275-a080-63c277bebfa2 · outbound

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

SpikeX: Exploring Accelerator Architecture and Network-Hardware Co-Optimization for Sparse Spiking Neural Networks Cifar10-dvs: An event-stream dataset for object classification,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-15T20:43:25.598894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e383068-6501-4673-91b7-327701de206a · outbound

This paper cites H2learn: High-efficiency learning accelerator for high-accuracy spiking neural networks,.

SpikeX: Exploring Accelerator Architecture and Network-Hardware Co-Optimization for Sparse Spiking Neural Networks H2learn: High-efficiency learning accelerator for high-accuracy spiking neural networks,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:43:27.377741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 98455a6d-bc34-4ee7-82f6-d737512230a5 · outbound

This paper cites Sparse compressed spiking neural network accelerator for object detection,.

SpikeX: Exploring Accelerator Architecture and Network-Hardware Co-Optimization for Sparse Spiking Neural Networks Sparse compressed spiking neural network accelerator for object detection,

Reference 29

Resolution: malformed identifier; no resolver link, observed 2026-08-15T20:43:25.609868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f97e4466-1baa-486c-b27d-a8b38159d02d · outbound

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

SpikeX: Exploring Accelerator Architecture and Network-Hardware Co-Optimization for Sparse Spiking Neural Networks Networks of spiking neurons: The third generation of neural network models,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:43:27.366064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2eddbe42-62cc-4abd-a44b-662ef3168a6e · outbound

This paper cites SpiNNaker 2: A 10 Million Core Processor System for Brain Simulation and Machine Learning.

SpikeX: Exploring Accelerator Architecture and Network-Hardware Co-Optimization for Sparse Spiking Neural Networks SpiNNaker 2: A 10 Million Core Processor System for Brain Simulation and Machine Learning

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-15T20:43:25.711003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e392ced-f7e6-4e2c-a619-61bd539023ca · outbound

This paper cites Cacti 6.0: A tool to model large caches,.

SpikeX: Exploring Accelerator Architecture and Network-Hardware Co-Optimization for Sparse Spiking Neural Networks Cacti 6.0: A tool to model large caches,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:43:27.312767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a3d49c80-c6c3-4ad8-b606-ef0e1100e0ff · outbound

This paper cites Spinalflow: An architecture and dataflow tailored for spiking neural networks,.

SpikeX: Exploring Accelerator Architecture and Network-Hardware Co-Optimization for Sparse Spiking Neural Networks Spinalflow: An architecture and dataflow tailored for spiking neural networks,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-15T20:43:25.819751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9ea37eb-69ab-47a6-a9e7-777f90df1e46 · outbound

This paper cites Converting static image datasets to spiking neuromorphic datasets using saccades,.

SpikeX: Exploring Accelerator Architecture and Network-Hardware Co-Optimization for Sparse Spiking Neural Networks Converting static image datasets to spiking neuromorphic datasets using saccades,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-15T20:43:25.832428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 910ae573-ef2f-44a0-b0cc-f904cc802326 · outbound

This paper cites Spinnaker: A 1-w 18-core system-on-chip for massively-parallel neural network simulation,.

SpikeX: Exploring Accelerator Architecture and Network-Hardware Co-Optimization for Sparse Spiking Neural Networks Spinnaker: A 1-w 18-core system-on-chip for massively-parallel neural network simulation,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:43:27.196354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 23eb0063-19d0-4f1d-b7fb-60d4443b839b · outbound

This paper cites Convolutional Spiking Neural Networks for Spatio-Temporal Feature Extraction.

SpikeX: Exploring Accelerator Architecture and Network-Hardware Co-Optimization for Sparse Spiking Neural Networks Convolutional Spiking Neural Networks for Spatio-Temporal Feature Extraction

Reference 36

Resolution: verified exact; local_arxiv, observed 2026-08-15T20:43:26.145906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5414afc8-bece-4dae-9a6c-af5d71b704ac · outbound

This paper cites Scale- sim: Systolic cnn accelerator,.

SpikeX: Exploring Accelerator Architecture and Network-Hardware Co-Optimization for Sparse Spiking Neural Networks Scale- sim: Systolic cnn accelerator,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:43:27.150787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8851d5fe-8967-4087-8d4e-e3c715739cd1 · outbound

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

SpikeX: Exploring Accelerator Architecture and Network-Hardware Co-Optimization for Sparse Spiking Neural Networks SLAYER: Spike Layer Error Reassignment in Time

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-15T20:43:25.848709Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 425c36e0-c64e-4ddb-afcf-880c26325ecf · outbound

This paper cites Deep learning in spiking neural networks,.

SpikeX: Exploring Accelerator Architecture and Network-Hardware Co-Optimization for Sparse Spiking Neural Networks Deep learning in spiking neural networks,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:43:27.139818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2ad3f946-8e0b-4384-bfbf-ec67b1808e9b · outbound

This paper cites Sies: A novel implementation of spiking convolutional neural network inference engine on field-programmable gate array,.

SpikeX: Exploring Accelerator Architecture and Network-Hardware Co-Optimization for Sparse Spiking Neural Networks Sies: A novel implementation of spiking convolutional neural network inference engine on field-programmable gate array,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:43:27.117111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5f499132-b400-41c5-9a72-16b55d987805 · outbound

This paper cites Compsnn: A lightweight spiking neural network based on spatiotemporally compressive spike features,.

SpikeX: Exploring Accelerator Architecture and Network-Hardware Co-Optimization for Sparse Spiking Neural Networks Compsnn: A lightweight spiking neural network based on spatiotemporally compressive spike features,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:43:27.010222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 44137f63-3935-4626-8447-11ab85be0b4d · outbound

This paper cites Spiking Transformer Hardware Accelerators in 3D Integration.

SpikeX: Exploring Accelerator Architecture and Network-Hardware Co-Optimization for Sparse Spiking Neural Networks Spiking Transformer Hardware Accelerators in 3D Integration

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-15T20:43:25.863110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8aa85490-e6c9-4ede-adb9-6bb8a5c07066 · outbound

This paper cites Towards 3D Acceleration for low-power Mixture-of-Experts and Multi-Head Attention Spiking Transformers.

SpikeX: Exploring Accelerator Architecture and Network-Hardware Co-Optimization for Sparse Spiking Neural Networks Towards 3D Acceleration for low-power Mixture-of-Experts and Multi-Head Attention Spiking Transformers

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-15T20:43:25.901211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b173eae0-0614-497f-9179-fd7e815aedde · outbound

This paper cites Trimming Down Large Spiking Vision Transformers via Heterogeneous Quantization Search.

SpikeX: Exploring Accelerator Architecture and Network-Hardware Co-Optimization for Sparse Spiking Neural Networks Trimming Down Large Spiking Vision Transformers via Heterogeneous Quantization Search

Reference 44

Resolution: verified exact; local_arxiv, observed 2026-08-15T20:43:26.100119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 20c5c2f3-a060-428f-a02a-cf6f92ed53b0 · outbound

This paper cites Workload-balanced pruning for sparse spiking neural networks,.

SpikeX: Exploring Accelerator Architecture and Network-Hardware Co-Optimization for Sparse Spiking Neural Networks Workload-balanced pruning for sparse spiking neural networks,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:43:26.946969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8857b105-e914-47c4-b6ec-b2ed8998cffc · outbound

This paper cites Mint: Multiplier-less integer quantization for energy efficient spiking neural networks,.

SpikeX: Exploring Accelerator Architecture and Network-Hardware Co-Optimization for Sparse Spiking Neural Networks Mint: Multiplier-less integer quantization for energy efficient spiking neural networks,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:43:26.936627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6e892d05-8784-47a7-82c1-5997801e5e4f · outbound

This paper cites Sata: Sparsity-aware training accelerator for spiking neural networks,.

SpikeX: Exploring Accelerator Architecture and Network-Hardware Co-Optimization for Sparse Spiking Neural Networks Sata: Sparsity-aware training accelerator for spiking neural networks,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:43:26.924093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation bc94e5f4-1151-4265-a15a-ee1434910f2a · outbound

This paper cites Gpu-based simulation of spiking neural networks with real-time performance & high accuracy,.

SpikeX: Exploring Accelerator Architecture and Network-Hardware Co-Optimization for Sparse Spiking Neural Networks Gpu-based simulation of spiking neural networks with real-time performance & high accuracy,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:43:26.906790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5682c1f0-059a-4288-b662-96d78aa7e9f8 · outbound

This paper cites Spike-train level backpropagation for training deep recurrent spiking neural networks,.

SpikeX: Exploring Accelerator Architecture and Network-Hardware Co-Optimization for Sparse Spiking Neural Networks Spike-train level backpropagation for training deep recurrent spiking neural networks,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:43:26.873653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f6748b35-6805-4acd-8336-62f25142d579 · outbound

This paper cites Temporal spike sequence learning via backpropagation for deep spiking neural networks,.

SpikeX: Exploring Accelerator Architecture and Network-Hardware Co-Optimization for Sparse Spiking Neural Networks Temporal spike sequence learning via backpropagation for deep spiking neural networks,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:43:26.728893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a0f29458-ca84-42c1-8c79-d6dfc1665f40 · outbound

This paper cites A digital liquid state machine with biologically inspired learning and its application to speech recognition,.

SpikeX: Exploring Accelerator Architecture and Network-Hardware Co-Optimization for Sparse Spiking Neural Networks A digital liquid state machine with biologically inspired learning and its application to speech recognition,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:43:26.708192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3ed6cd85-4e03-4b43-a598-92a23aa1f08a · outbound

This paper cites Available: https://www.sciencedirect.com/science/article/ pii/S0893608097000117 13.

SpikeX: Exploring Accelerator Architecture and Network-Hardware Co-Optimization for Sparse Spiking Neural Networks Available: https://www.sciencedirect.com/science/article/ pii/S0893608097000117 13

Reference 1997

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:43:27.346772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 864cc58b-bf7f-4928-998b-a1ecfc4c12cf · outbound

This paper cites Available: https://www.frontiersin.org/articles/10.3389/ fnins.2017.00309.

SpikeX: Exploring Accelerator Architecture and Network-Hardware Co-Optimization for Sparse Spiking Neural Networks Available: https://www.frontiersin.org/articles/10.3389/ fnins.2017.00309

Reference 2017

Resolution: malformed identifier; no resolver link, observed 2026-08-15T20:43:25.602781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ffb8db4-a008-49b3-89fd-d6e88e503c37 · outbound

This paper cites Available: https://www.frontiersin.org/articles/10.3389/ fnins.2022.929644.

SpikeX: Exploring Accelerator Architecture and Network-Hardware Co-Optimization for Sparse Spiking Neural Networks Available: https://www.frontiersin.org/articles/10.3389/ fnins.2022.929644

Reference 2022

Resolution: malformed identifier; raw_fallback, observed 2026-08-15T20:43:26.650261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers