Revisiting Reset Mechanisms in Spiking Neural Networks for Sequential Modeling: Specialized Discretization for Binary Activated RNN | Paper Citation Record

Observation b584deb8-f2b4-47e4-a978-2584faf29f0d · outbound

This paper cites Spatio-temporal backpropagation for training high-performance spiking neural networks.

Revisiting Reset Mechanisms in Spiking Neural Networks for Sequential Modeling: Specialized Discretization for Binary Activated RNN Spatio-temporal backpropagation for training high-performance spiking neural networks

Reference 1

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Observation ffc67b48-af06-42b9-9098-18e0019d2cbd · outbound

This paper cites Spike-driven transformer.

Revisiting Reset Mechanisms in Spiking Neural Networks for Sequential Modeling: Specialized Discretization for Binary Activated RNN Spike-driven transformer

Reference 2

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Observation 5a607be8-d6e0-4b86-8e50-4dfb008ae2a5 · outbound

This paper cites Ternary spike-based neuromorphic signal processing system.

Revisiting Reset Mechanisms in Spiking Neural Networks for Sequential Modeling: Specialized Discretization for Binary Activated RNN Ternary spike-based neuromorphic signal processing system

Reference 3

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Observation 0e36a70e-f73d-4d00-917b-97efdbc5f1ff · outbound

This paper cites Spike-based neuromorphic model for sound source localization.

Revisiting Reset Mechanisms in Spiking Neural Networks for Sequential Modeling: Specialized Discretization for Binary Activated RNN Spike-based neuromorphic model for sound source localization

Reference 4

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Observation dd00fd7a-1a71-4606-823b-18710440db5d · outbound

This paper cites Hippo: Recurrent memory with optimal polynomial projections.

Revisiting Reset Mechanisms in Spiking Neural Networks for Sequential Modeling: Specialized Discretization for Binary Activated RNN Hippo: Recurrent memory with optimal polynomial projections

Reference 5

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Observation 4d3d9c1d-30e9-471e-b5c6-a8e59904a84d · outbound

This paper cites Efficiently Modeling Long Sequences with Structured State Spaces.

Revisiting Reset Mechanisms in Spiking Neural Networks for Sequential Modeling: Specialized Discretization for Binary Activated RNN Efficiently Modeling Long Sequences with Structured State Spaces

Reference 6

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Observation d98afa08-5e6a-4a45-9b30-9ed0f973c408 · outbound

This paper cites Resurrecting recurrent neural networks for long sequences.

Revisiting Reset Mechanisms in Spiking Neural Networks for Sequential Modeling: Specialized Discretization for Binary Activated RNN Resurrecting recurrent neural networks for long sequences

Reference 7

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Observation dbcf4636-578c-4482-a09a-bec7e5d6265f · outbound

This paper cites P-SpikeSSM: Harnessing Probabilistic Spiking State Space Models for Long-Range Dependency Tasks.

Revisiting Reset Mechanisms in Spiking Neural Networks for Sequential Modeling: Specialized Discretization for Binary Activated RNN P-SpikeSSM: Harnessing Probabilistic Spiking State Space Models for Long-Range Dependency Tasks

Reference 8

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Observation ca70983e-82dd-496b-9ad9-50b9115a8b6e · outbound

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

Revisiting Reset Mechanisms in Spiking Neural Networks for Sequential Modeling: Specialized Discretization for Binary Activated RNN Parallel spiking neurons with high efficiency and ability to learn long-term dependencies

Reference 9

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Observation c1155630-1fa4-487a-b127-87023aa999f6 · outbound

This paper cites Attention is all you need.

Revisiting Reset Mechanisms in Spiking Neural Networks for Sequential Modeling: Specialized Discretization for Binary Activated RNN Attention is all you need

Reference 10

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Observation ca5eb8c9-3f45-4d00-b3a7-050ec818419b · outbound

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

Revisiting Reset Mechanisms in Spiking Neural Networks for Sequential Modeling: Specialized Discretization for Binary Activated RNN Attention-based deep spiking neural networks for temporal credit assignment problems

Reference 11

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Observation 04bbe85b-f436-40c1-b332-0f19350a7f7d · outbound

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

Revisiting Reset Mechanisms in Spiking Neural Networks for Sequential Modeling: Specialized Discretization for Binary Activated RNN Accurate and efficient time-domain classification with adaptive spiking recurrent neural networks

Reference 12

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Observation 02abf599-d7cf-4443-a143-5c3679876a7f · outbound

This paper cites Long short-term memory and learning-to-learn in networks of spiking neurons.Advances in neural information processing systems, 31, 2018.

Revisiting Reset Mechanisms in Spiking Neural Networks for Sequential Modeling: Specialized Discretization for Binary Activated RNN Long short-term memory and learning-to-learn in networks of spiking neurons.Advances in neural information processing systems, 31, 2018

Reference 13

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Observation d725acf3-03d9-4f31-9606-deca6dfdccd5 · outbound

This paper cites An adaptive threshold neuron for recur- rent spiking neural networks with nanodevice hardware implementation.

Revisiting Reset Mechanisms in Spiking Neural Networks for Sequential Modeling: Specialized Discretization for Binary Activated RNN An adaptive threshold neuron for recur- rent spiking neural networks with nanodevice hardware implementation

Reference 14

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Observation bb5c1b2d-90eb-41da-9a81-6ee9eeadaf44 · outbound

This paper cites Spik- ing neural networks with adaptive membrane time constant for event-based tracking.IEEE Transactions on Image Processing, 2025.

Revisiting Reset Mechanisms in Spiking Neural Networks for Sequential Modeling: Specialized Discretization for Binary Activated RNN Spik- ing neural networks with adaptive membrane time constant for event-based tracking.IEEE Transactions on Image Processing, 2025

Reference 15

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Observation 04eace4f-7198-4612-ba97-5d85adae5e45 · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

Revisiting Reset Mechanisms in Spiking Neural Networks for Sequential Modeling: Specialized Discretization for Binary Activated RNN Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 16

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This paper cites Com- bining recurrent, convolutional, and continuous-time models with linear state space layers.

Revisiting Reset Mechanisms in Spiking Neural Networks for Sequential Modeling: Specialized Discretization for Binary Activated RNN Com- bining recurrent, convolutional, and continuous-time models with linear state space layers

Reference 17

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Observation e64295d0-95ed-4d54-9f6a-5bef5102c7ca · outbound

This paper cites Simplified State Space Layers for Sequence Modeling.

Revisiting Reset Mechanisms in Spiking Neural Networks for Sequential Modeling: Specialized Discretization for Binary Activated RNN Simplified State Space Layers for Sequence Modeling

Reference 18

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Observation 1a9c07bc-0c5c-4b64-8bd4-021c8a86ab18 · outbound

This paper cites Hierarchically gated recurrent neural network for sequence modeling.

Revisiting Reset Mechanisms in Spiking Neural Networks for Sequential Modeling: Specialized Discretization for Binary Activated RNN Hierarchically gated recurrent neural network for sequence modeling

Reference 19

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Observation 6828f96d-591a-45e6-b8b0-425d599b579f · outbound

This paper cites Transformers are rnns: Fast autoregressive transformers with linear attention.

Revisiting Reset Mechanisms in Spiking Neural Networks for Sequential Modeling: Specialized Discretization for Binary Activated RNN Transformers are rnns: Fast autoregressive transformers with linear attention

Reference 20

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Observation f7057d30-c5b5-47d4-9cd2-909f221db546 · outbound

This paper cites Efficient attention: At- tention with linear complexities.

Revisiting Reset Mechanisms in Spiking Neural Networks for Sequential Modeling: Specialized Discretization for Binary Activated RNN Efficient attention: At- tention with linear complexities

Reference 21

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Observation 013a42d2-b47f-4f18-a76b-3764d8b06dc7 · outbound

This paper cites Mega: Moving Average Equipped Gated Attention.

Revisiting Reset Mechanisms in Spiking Neural Networks for Sequential Modeling: Specialized Discretization for Binary Activated RNN Mega: Moving Average Equipped Gated Attention

Reference 22

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Observation e964ecb8-825c-4776-aa29-f0fd5d6f7ef1 · outbound

This paper cites Parallelizing Linear Transformers with the Delta Rule over Sequence Length.

Revisiting Reset Mechanisms in Spiking Neural Networks for Sequential Modeling: Specialized Discretization for Binary Activated RNN Parallelizing Linear Transformers with the Delta Rule over Sequence Length

Reference 23

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Observation 070ba44d-94a5-47ab-b7d1-509566dc7b52 · outbound

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

Revisiting Reset Mechanisms in Spiking Neural Networks for Sequential Modeling: Specialized Discretization for Binary Activated RNN Tc-lif: A two- compartment spiking neuron model for long-term sequential modelling

Reference 24

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Observation 9123332f-6985-4098-b205-589057f68116 · outbound

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

Revisiting Reset Mechanisms in Spiking Neural Networks for Sequential Modeling: Specialized Discretization for Binary Activated RNN PMSN: A Parallel Multi-compartment Spiking Neuron for Multi-scale Temporal Processing

Reference 25

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Observation b013e853-db84-4dc7-b85b-8897d3b2a807 · outbound

This paper cites Temporal dendritic heterogeneity incorporated with spiking neural networks for learning multi-timescale dynamics.

Revisiting Reset Mechanisms in Spiking Neural Networks for Sequential Modeling: Specialized Discretization for Binary Activated RNN Temporal dendritic heterogeneity incorporated with spiking neural networks for learning multi-timescale dynamics

Reference 26

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Observation 9598734e-9aea-442a-81e8-a8bf15f92750 · outbound

This paper cites Learning long sequences in spiking neural networks.

Revisiting Reset Mechanisms in Spiking Neural Networks for Sequential Modeling: Specialized Discretization for Binary Activated RNN Learning long sequences in spiking neural networks

Reference 27

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Observation ffb30ab9-86e6-45be-b78c-da23d3333781 · outbound

This paper cites SPikE-SSM: A Sparse, Precise, and Efficient Spiking State Space Model for Long Sequences Learning.

Revisiting Reset Mechanisms in Spiking Neural Networks for Sequential Modeling: Specialized Discretization for Binary Activated RNN SPikE-SSM: A Sparse, Precise, and Efficient Spiking State Space Model for Long Sequences Learning

Reference 28

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Observation bd912a0e-2582-4f70-b77a-7a07114e1385 · outbound

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

Revisiting Reset Mechanisms in Spiking Neural Networks for Sequential Modeling: Specialized Discretization for Binary Activated RNN SpikingSSMs: Learning Long Sequences with Sparse and Parallel Spiking State Space Models

Reference 29

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Observation 604e7a80-1a3c-408f-b62c-48221aca291f · outbound

This paper cites Incorpo- rating learnable membrane time constant to enhance learning of spiking neural networks.

Revisiting Reset Mechanisms in Spiking Neural Networks for Sequential Modeling: Specialized Discretization for Binary Activated RNN Incorpo- rating learnable membrane time constant to enhance learning of spiking neural networks

Reference 30

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Observation 45097a1f-3a0e-4989-9e95-ead3fa3c9dfc · outbound

This paper cites Training high-performance low-latency spiking neural networks by differentiation on spike representation.

Revisiting Reset Mechanisms in Spiking Neural Networks for Sequential Modeling: Specialized Discretization for Binary Activated RNN Training high-performance low-latency spiking neural networks by differentiation on spike representation

Reference 31

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Observation 2df14076-9cc9-4971-a23f-44233444e65b · outbound

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

Revisiting Reset Mechanisms in Spiking Neural Networks for Sequential Modeling: Specialized Discretization for Binary Activated RNN A tandem learning rule for effective training and rapid inference of deep spiking neural networks

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Observation ed69b189-0abe-41d1-b75a-9acf16323d63 · outbound

This paper cites High-performance deep spiking neural networks with 0.3 spikes per neuron.

Revisiting Reset Mechanisms in Spiking Neural Networks for Sequential Modeling: Specialized Discretization for Binary Activated RNN High-performance deep spiking neural networks with 0.3 spikes per neuron

Reference 33

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Observation 7d75aff2-7788-48aa-8cfb-1485029ed584 · outbound

This paper cites Temporal-coded spiking neural networks with dynamic firing threshold: Learning with event-driven backpropagation.

Revisiting Reset Mechanisms in Spiking Neural Networks for Sequential Modeling: Specialized Discretization for Binary Activated RNN Temporal-coded spiking neural networks with dynamic firing threshold: Learning with event-driven backpropagation

Reference 34

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Observation 797f2780-1fd1-464b-9f26-b9787b40f4e3 · outbound

This paper cites Lc-ttfs: Toward lossless network con- version for spiking neural networks with ttfs coding.IEEE Transactions on Cognitive and Developmental Systems, 16(5):1626–1639, 2023.

Revisiting Reset Mechanisms in Spiking Neural Networks for Sequential Modeling: Specialized Discretization for Binary Activated RNN Lc-ttfs: Toward lossless network con- version for spiking neural networks with ttfs coding.IEEE Transactions on Cognitive and Developmental Systems, 16(5):1626–1639, 2023

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Observation 85949660-a781-47c1-a18c-f8b7771727e8 · outbound

This paper cites Rectified linear postsynaptic potential function for backpropagation in deep spiking neural networks.

Revisiting Reset Mechanisms in Spiking Neural Networks for Sequential Modeling: Specialized Discretization for Binary Activated RNN Rectified linear postsynaptic potential function for backpropagation in deep spiking neural networks

Reference 36

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Observation eb683d87-07d0-4d06-ad40-c9a45ef4a49d · outbound

This paper cites Deep declarative networks.

Revisiting Reset Mechanisms in Spiking Neural Networks for Sequential Modeling: Specialized Discretization for Binary Activated RNN Deep declarative networks

Reference 37

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Observation 9d81155f-b427-4d5c-a53d-1d39fdce47ce · outbound

This paper cites Neural ordinary differ- ential equations.

Revisiting Reset Mechanisms in Spiking Neural Networks for Sequential Modeling: Specialized Discretization for Binary Activated RNN Neural ordinary differ- ential equations

Reference 38

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Observation 13ba7649-bd04-47ad-9c2b-1f7b73774305 · outbound

This paper cites Augmented neural odes.

Revisiting Reset Mechanisms in Spiking Neural Networks for Sequential Modeling: Specialized Discretization for Binary Activated RNN Augmented neural odes

Reference 39

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Observation 6e0de950-9abb-48d4-ade4-ea1018261a36 · outbound

This paper cites Deep residual learning for image recognition.

Revisiting Reset Mechanisms in Spiking Neural Networks for Sequential Modeling: Specialized Discretization for Binary Activated RNN Deep residual learning for image recognition

Reference 40

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Observation 91afb675-837a-4b10-8459-3ace364496bd · outbound

This paper cites nmode: neural memory ordinary differential equation.

Revisiting Reset Mechanisms in Spiking Neural Networks for Sequential Modeling: Specialized Discretization for Binary Activated RNN nmode: neural memory ordinary differential equation

Reference 41

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Observation afbca4b1-8286-45b7-a1cc-31c6fe33aa88 · outbound

This paper cites Momentum residual neural networks.

Revisiting Reset Mechanisms in Spiking Neural Networks for Sequential Modeling: Specialized Discretization for Binary Activated RNN Momentum residual neural networks

Reference 42

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Observation 83d6f1f5-8c4b-4604-a83d-8f89ebb36e63 · outbound

This paper cites Training feedback spiking neural networks by implicit differentiation on the equilibrium state.

Revisiting Reset Mechanisms in Spiking Neural Networks for Sequential Modeling: Specialized Discretization for Binary Activated RNN Training feedback spiking neural networks by implicit differentiation on the equilibrium state

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:38:11.622928Z

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Observation a69f8ea8-25d0-4f83-a012-fd1daf19d753 · outbound

This paper cites Diagonal state spaces are as effective as structured state spaces.

Revisiting Reset Mechanisms in Spiking Neural Networks for Sequential Modeling: Specialized Discretization for Binary Activated RNN Diagonal state spaces are as effective as structured state spaces

Reference 44

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Observation 523d482e-9be1-41c5-848b-605433d566ab · outbound

This paper cites Universality of Linear Recurrences Followed by Non-linear Projections: Finite-Width Guarantees and Benefits of Complex Eigenvalues.

Revisiting Reset Mechanisms in Spiking Neural Networks for Sequential Modeling: Specialized Discretization for Binary Activated RNN Universality of Linear Recurrences Followed by Non-linear Projections: Finite-Width Guarantees and Benefits of Complex Eigenvalues

Reference 45

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Observation dbf78a1f-2c7e-4103-9a91-9dc18c5030ce · outbound

This paper cites Language modeling with gated convolutional networks.

Revisiting Reset Mechanisms in Spiking Neural Networks for Sequential Modeling: Specialized Discretization for Binary Activated RNN Language modeling with gated convolutional networks

Reference 46

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Observation 27859d76-aa98-4366-aa72-7dba092f44ee · outbound

This paper cites State-space models with layer-wise nonlinearity are universal approxima- tors with exponential decaying memory.

Revisiting Reset Mechanisms in Spiking Neural Networks for Sequential Modeling: Specialized Discretization for Binary Activated RNN State-space models with layer-wise nonlinearity are universal approxima- tors with exponential decaying memory

Reference 47

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Observation 02670ed3-3b75-4e1d-aca1-ee19361a0ba4 · outbound

This paper cites On the parameterization and initialization of diagonal state space models.

Revisiting Reset Mechanisms in Spiking Neural Networks for Sequential Modeling: Specialized Discretization for Binary Activated RNN On the parameterization and initialization of diagonal state space models

Reference 48

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Observation c58092f7-c102-4d07-b18f-b77af25ced3d · outbound

This paper cites Research on spiking neural network with additional time dimension for sequential modeling.

Revisiting Reset Mechanisms in Spiking Neural Networks for Sequential Modeling: Specialized Discretization for Binary Activated RNN Research on spiking neural network with additional time dimension for sequential modeling

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:38:11.466597Z

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This paper cites Deep equilibrium models.

Revisiting Reset Mechanisms in Spiking Neural Networks for Sequential Modeling: Specialized Discretization for Binary Activated RNN Deep equilibrium models

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This paper cites Integration of neuromorphic ai in event-driven distributed digitized systems: Concepts and research directions.

Revisiting Reset Mechanisms in Spiking Neural Networks for Sequential Modeling: Specialized Discretization for Binary Activated RNN Integration of neuromorphic ai in event-driven distributed digitized systems: Concepts and research directions

Reference 51

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