ASRC-SNN: Adaptive Skip Recurrent Connection Spiking Neural Network | Paper Citation Record

Observation c3de842a-3bed-4430-9981-b822dfeadae5 · outbound

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

ASRC-SNN: Adaptive Skip Recurrent Connection Spiking Neural Network Towards spike-based machine intelligence with neuromorphic computing

Reference 1

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This paper cites Spiking neural networks: A survey.

ASRC-SNN: Adaptive Skip Recurrent Connection Spiking Neural Network Spiking neural networks: A survey

Reference 2

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ASRC-SNN: Adaptive Skip Recurrent Connection Spiking Neural Network Unresolved cited work

Reference 3

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Observation 128e1d11-b8d4-4de9-85c7-5af15445b389 · outbound

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

ASRC-SNN: Adaptive Skip Recurrent Connection Spiking Neural Network Loihi: A neuromorphic manycore processor with on-chip learning

Reference 4

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

ASRC-SNN: Adaptive Skip Recurrent Connection Spiking Neural Network Towards artificial general intelligence with hybrid tianjic chip architecture

Reference 5

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Observation 26cbf4c3-082d-401f-bf56-c9e05275510a · outbound

This paper cites Spiking neuron models: Single neurons, populations, plasticity.

ASRC-SNN: Adaptive Skip Recurrent Connection Spiking Neural Network Spiking neuron models: Single neurons, populations, plasticity

Reference 6

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Observation 0d62de9d-6fee-467d-b462-df9b38bc7559 · outbound

This paper cites Optimal ANN-SNN Conversion for Fast and Accurate Inference in Deep Spiking Neural Networks.

ASRC-SNN: Adaptive Skip Recurrent Connection Spiking Neural Network Optimal ANN-SNN Conversion for Fast and Accurate Inference in Deep Spiking Neural Networks

Reference 7

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Observation f37f28de-32ad-45b5-bab1-51be380adcba · outbound

This paper cites Spikformer: When spiking neural network meets transformer.

ASRC-SNN: Adaptive Skip Recurrent Connection Spiking Neural Network Spikformer: When spiking neural network meets transformer

Reference 8

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Observation a3f8d660-529c-4ed7-b72b-4b6dc4089040 · outbound

This paper cites Spike- driven transformer.

ASRC-SNN: Adaptive Skip Recurrent Connection Spiking Neural Network Spike- driven transformer

Reference 9

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Observation 97c804e3-5c69-4926-9a0e-0446e6008631 · outbound

This paper cites QKFormer: Hierarchical spiking transformer using q-k attention.

ASRC-SNN: Adaptive Skip Recurrent Connection Spiking Neural Network QKFormer: Hierarchical spiking transformer using q-k attention

Reference 10

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Observation e1c34d6b-650b-4b74-9fe6-9d217080e3d2 · outbound

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

ASRC-SNN: Adaptive Skip Recurrent Connection Spiking Neural Network Cifar10-dvs: an event- stream dataset for object classification

Reference 11

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Observation df273165-29b1-458d-a1e7-057ab33dd8bf · outbound

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

ASRC-SNN: Adaptive Skip Recurrent Connection Spiking Neural Network A low power, fully event-based gesture recognition system

Reference 12

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Observation d8b43a3b-68f5-4542-939e-f25514492662 · outbound

This paper cites A 3.6µs latency asynchronous frame-free event-driven dynamic-vision-sensor.

ASRC-SNN: Adaptive Skip Recurrent Connection Spiking Neural Network A 3.6µs latency asynchronous frame-free event-driven dynamic-vision-sensor

Reference 13

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Observation 06ea817a-c2df-4f60-9ba5-9720195b922e · outbound

This paper cites Surrogate module learning: Reduce the gradient error accumulation in training spiking neural networks.

ASRC-SNN: Adaptive Skip Recurrent Connection Spiking Neural Network Surrogate module learning: Reduce the gradient error accumulation in training spiking neural networks

Reference 14

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Observation eea9891e-bceb-4a71-846e-a0999fb62c0f · outbound

This paper cites Exploiting noise as a resource for computation and learning in spiking neural networks.

ASRC-SNN: Adaptive Skip Recurrent Connection Spiking Neural Network Exploiting noise as a resource for computation and learning in spiking neural networks

Reference 15

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Observation 3b476454-59d3-4d07-a5af-229e107531e2 · outbound

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

ASRC-SNN: Adaptive Skip Recurrent Connection Spiking Neural Network Adaptive smoothing gradient learning for spiking neural networks

Reference 16

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Observation 21833f08-4a1d-4d9c-b6e2-cf760b0324fa · outbound

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

ASRC-SNN: Adaptive Skip Recurrent Connection Spiking Neural Network CLIF: Complementary Leaky Integrate-and-Fire Neuron for Spiking Neural Networks

Reference 17

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Observation a8870cd6-37b1-4fde-b649-e5b0d14974c3 · outbound

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

ASRC-SNN: Adaptive Skip Recurrent Connection Spiking Neural Network Accurate and efficient time-domain classification with adaptive spiking recurrent neural networks

Reference 18

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Observation 75887233-5291-45a8-824d-bfa0d1d9ff55 · outbound

This paper cites Finding structure in time.

ASRC-SNN: Adaptive Skip Recurrent Connection Spiking Neural Network Finding structure in time

Reference 19

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Observation f8f49f5c-4679-4659-96e7-6a8fabee9739 · outbound

This paper cites A surrogate gradient spiking baseline for speech command recognition.

ASRC-SNN: Adaptive Skip Recurrent Connection Spiking Neural Network A surrogate gradient spiking baseline for speech command recognition

Reference 20

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Observation 16e4790e-a2ae-448c-aeb8-bf996226d6e3 · outbound

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

ASRC-SNN: Adaptive Skip Recurrent Connection Spiking Neural Network Tc-lif: A two-compartment spiking neuron model for long-term sequential modelling

Reference 21

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Observation f90ada8d-d3e2-4fb9-9f24-446d71f044ea · outbound

This paper cites Advancing Spatio-Temporal Processing in Spiking Neural Networks through Adaptation.

ASRC-SNN: Adaptive Skip Recurrent Connection Spiking Neural Network Advancing Spatio-Temporal Processing in Spiking Neural Networks through Adaptation

Reference 22

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Observation 6f758f2b-4b89-4380-8d16-c2ae8a29383b · outbound

This paper cites Recurrent orthogonal networks and long- memory tasks.

ASRC-SNN: Adaptive Skip Recurrent Connection Spiking Neural Network Recurrent orthogonal networks and long- memory tasks

Reference 23

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Observation d3161af2-51df-4832-a2a1-8644a89402e3 · outbound

This paper cites Investigating current-based and gating approaches for accurate and energy-efficient spiking recurrent neural networks.

ASRC-SNN: Adaptive Skip Recurrent Connection Spiking Neural Network Investigating current-based and gating approaches for accurate and energy-efficient spiking recurrent neural networks

Reference 24

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Observation b4ab3b8d-b151-444f-8354-467cf104c774 · outbound

This paper cites Autaptic Synaptic Circuit Enhances Spatio-temporal Predictive Learning of Spiking Neural Networks.

ASRC-SNN: Adaptive Skip Recurrent Connection Spiking Neural Network Autaptic Synaptic Circuit Enhances Spatio-temporal Predictive Learning of Spiking Neural Networks

Reference 25

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Observation 0aba9372-90ad-4fd0-8dbf-856e3028fccd · outbound

This paper cites Parallel spiking neurons with high efficiency and ability to learn long-term dependencies.

ASRC-SNN: Adaptive Skip Recurrent Connection Spiking Neural Network Parallel spiking neurons with high efficiency and ability to learn long-term dependencies

Reference 26

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Observation 6de7999b-aeec-41e8-b09f-efa5171b4f01 · outbound

This paper cites PMSN: A Parallel Multi-compartment Spiking Neuron for Multi-scale Temporal Processing.

ASRC-SNN: Adaptive Skip Recurrent Connection Spiking Neural Network PMSN: A Parallel Multi-compartment Spiking Neuron for Multi-scale Temporal Processing

Reference 27

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Observation b10d9464-40f8-4df7-8147-60444abec892 · outbound

This paper cites Balanced Resonate-and-Fire Neurons.

ASRC-SNN: Adaptive Skip Recurrent Connection Spiking Neural Network Balanced Resonate-and-Fire Neurons

Reference 28

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Observation 3666bfa9-8c29-4ad2-bd46-4c72665b9716 · outbound

This paper cites Learning delays in spiking neural networks using dilated convolutions with learnable spacings.

ASRC-SNN: Adaptive Skip Recurrent Connection Spiking Neural Network Learning delays in spiking neural networks using dilated convolutions with learnable spacings

Reference 29

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Observation a442d483-81f6-450c-9dff-34e65919d35a · outbound

This paper cites Temporal-wise attention spiking neural networks for event streams classification.

ASRC-SNN: Adaptive Skip Recurrent Connection Spiking Neural Network Temporal-wise attention spiking neural networks for event streams classification

Reference 30

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Observation c2b477f7-3d3c-4ddd-a86e-277b16129bce · outbound

This paper cites Speech command recognition based on convolutional spiking neural networks.

ASRC-SNN: Adaptive Skip Recurrent Connection Spiking Neural Network Speech command recognition based on convolutional spiking neural networks

Reference 31

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Observation fae52069-af0f-48c8-8129-66ef3120affe · outbound

This paper cites LMUFormer: Low Complexity Yet Powerful Spiking Model With Legendre Memory Units.

ASRC-SNN: Adaptive Skip Recurrent Connection Spiking Neural Network LMUFormer: Low Complexity Yet Powerful Spiking Model With Legendre Memory Units

Reference 32

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Observation 853187a7-1229-402d-a15e-e3fda4786bdc · outbound

This paper cites Learning long sequences in spiking neural networks.

ASRC-SNN: Adaptive Skip Recurrent Connection Spiking Neural Network Learning long sequences in spiking neural networks

Reference 33

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Observation a9feeae1-1176-4f07-8ec8-4cfbb822f505 · outbound

This paper cites SpikingSSMs: Learning Long Sequences with Sparse and Parallel Spiking State Space Models.

ASRC-SNN: Adaptive Skip Recurrent Connection Spiking Neural Network SpikingSSMs: Learning Long Sequences with Sparse and Parallel Spiking State Space Models

Reference 34

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Observation 331033a2-53cd-4154-87b1-c2775e437cbe · outbound

This paper cites Conversion of continuous-valued deep networks to efficient event-driven networks for image classification.

ASRC-SNN: Adaptive Skip Recurrent Connection Spiking Neural Network Conversion of continuous-valued deep networks to efficient event-driven networks for image classification

Reference 35

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Observation b0acd361-e342-49bb-ab49-f2f9cc2b51be · outbound

This paper cites Rmp-snn: Residual membrane potential neuron for enabling deeper high-accuracy and low-latency spiking neural network.

ASRC-SNN: Adaptive Skip Recurrent Connection Spiking Neural Network Rmp-snn: Residual membrane potential neuron for enabling deeper high-accuracy and low-latency spiking neural network

Reference 36

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Observation 3ebc24ae-43af-4529-b96f-62c806db7c01 · outbound

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

ASRC-SNN: Adaptive Skip Recurrent Connection Spiking Neural Network Surrogate gradient learning in spiking neural networks: Bringing the power of gradient-based optimization to spiking neural networks

Reference 37

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Observation 083f4242-f68c-4f65-bba3-7b16a849175f · outbound

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

ASRC-SNN: Adaptive Skip Recurrent Connection Spiking Neural Network Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting

Reference 38

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Observation dada8d5f-8bcb-4124-b707-16a290ddac7b · outbound

This paper cites On the difficulty of training Recurrent Neural Networks.

ASRC-SNN: Adaptive Skip Recurrent Connection Spiking Neural Network On the difficulty of training Recurrent Neural Networks

Reference 39

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Observation ac3a878f-3f62-45ac-a3f7-d51c055ea38e · outbound

This paper cites Architectural complexity measures of recurrent neural networks.

ASRC-SNN: Adaptive Skip Recurrent Connection Spiking Neural Network Architectural complexity measures of recurrent neural networks

Reference 40

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Observation e09cd293-0a70-493e-91c3-7980ad5b879d · outbound

This paper cites On calibration of modern neural networks.

ASRC-SNN: Adaptive Skip Recurrent Connection Spiking Neural Network On calibration of modern neural networks

Reference 41

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Observation b0406155-6ee1-45ad-a328-6e7bdfff481c · outbound

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

ASRC-SNN: Adaptive Skip Recurrent Connection Spiking Neural Network Incorporating learnable membrane time constant to enhance learning of spiking neural networks

Reference 42

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Observation 142f3f12-beb3-407d-a92f-7d4971355c0c · outbound

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

ASRC-SNN: Adaptive Skip Recurrent Connection Spiking Neural Network Glif: A unified gated leaky integrate-and- fire neuron for spiking neural networks

Reference 43

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Observation 65ddf9a9-f564-4374-a066-d49abd0a6e17 · outbound

This paper cites Spike frequency adaptation supports network computations on temporally dispersed information.

ASRC-SNN: Adaptive Skip Recurrent Connection Spiking Neural Network Spike frequency adaptation supports network computations on temporally dispersed information

Reference 44

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Observation fccbf70e-906c-40b1-bec1-c838ce9e7fac · outbound

This paper cites Deep residual learning for image recognition.

ASRC-SNN: Adaptive Skip Recurrent Connection Spiking Neural Network Deep residual learning for image recognition

Reference 45

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Observation ae14a108-0f9b-4743-8456-891534eba6ae · outbound

This paper cites Multi-Scale Context Aggregation by Dilated Convolutions.

ASRC-SNN: Adaptive Skip Recurrent Connection Spiking Neural Network Multi-Scale Context Aggregation by Dilated Convolutions

Reference 46

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This paper cites Dilated convolution with learnable spacings.

ASRC-SNN: Adaptive Skip Recurrent Connection Spiking Neural Network Dilated convolution with learnable spacings

Reference 47

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Observation fa30f25b-b2c4-4e5c-bdae-377d01b4d29b · outbound

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

ASRC-SNN: Adaptive Skip Recurrent Connection Spiking Neural Network Networks of spiking neurons: the third generation of neural network models

Reference 48

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This paper cites Dilated convolution with learnable spacings: beyond bilinear interpolation.

ASRC-SNN: Adaptive Skip Recurrent Connection Spiking Neural Network Dilated convolution with learnable spacings: beyond bilinear interpolation

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:59:35.233862Z

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Observation 3578cb6f-2ac1-47d1-98c4-f8c20eaf8d20 · outbound

This paper cites Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition.

ASRC-SNN: Adaptive Skip Recurrent Connection Spiking Neural Network Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition

Reference 50

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Observation 63c2c1df-645c-47dd-81ad-e50c482e2931 · outbound

This paper cites The heidelberg spiking data sets for the systematic evaluation of spiking neural networks.

ASRC-SNN: Adaptive Skip Recurrent Connection Spiking Neural Network The heidelberg spiking data sets for the systematic evaluation of spiking neural networks

Reference 51

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Observation 1076b4ce-95f5-4bfe-ba95-ea2a333f4be9 · outbound

This paper cites Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling.

ASRC-SNN: Adaptive Skip Recurrent Connection Spiking Neural Network Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 52

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Observation 393463c2-2ff1-4ef0-8df9-e315a6141b77 · outbound

This paper cites PRF: Parallel Resonate and Fire Neuron for Long Sequence Learning in Spiking Neural Networks.

ASRC-SNN: Adaptive Skip Recurrent Connection Spiking Neural Network PRF: Parallel Resonate and Fire Neuron for Long Sequence Learning in Spiking Neural Networks

Reference 53

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