Integrating Complexity and Biological Realism: High-Performance Spiking Neural Networks for Breast Cancer Detection | Paper Citation Record

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This paper cites Breast Cancer Statistics.

Integrating Complexity and Biological Realism: High-Performance Spiking Neural Networks for Breast Cancer Detection Breast Cancer Statistics

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Integrating Complexity and Biological Realism: High-Performance Spiking Neural Networks for Breast Cancer Detection Unresolved cited work

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This paper cites Oncolytic virus-based combi- nation therapy in breast cancer.

Integrating Complexity and Biological Realism: High-Performance Spiking Neural Networks for Breast Cancer Detection Oncolytic virus-based combi- nation therapy in breast cancer

Reference 3

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Integrating Complexity and Biological Realism: High-Performance Spiking Neural Networks for Breast Cancer Detection Unresolved cited work

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This paper cites SAFNet: A deep spa- tial attention network with classifier fusion for breast cancer detection.

Integrating Complexity and Biological Realism: High-Performance Spiking Neural Networks for Breast Cancer Detection SAFNet: A deep spa- tial attention network with classifier fusion for breast cancer detection

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This paper cites Breast cancer: patho- genesis and treatments.

Integrating Complexity and Biological Realism: High-Performance Spiking Neural Networks for Breast Cancer Detection Breast cancer: patho- genesis and treatments

Reference 6

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This paper cites Spiking Neural Network.

Integrating Complexity and Biological Realism: High-Performance Spiking Neural Networks for Breast Cancer Detection Spiking Neural Network

Reference 7

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This paper cites Neural networks for computer-aided diagnosis in medicine: A review.

Integrating Complexity and Biological Realism: High-Performance Spiking Neural Networks for Breast Cancer Detection Neural networks for computer-aided diagnosis in medicine: A review

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This paper cites Applicable artifi- cial intelligence for brain disease: A survey.

Integrating Complexity and Biological Realism: High-Performance Spiking Neural Networks for Breast Cancer Detection Applicable artifi- cial intelligence for brain disease: A survey

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This paper cites Backpropagation- Based Learning Techniques for Deep Spiking Neural Networks: A Sur- vey.

Integrating Complexity and Biological Realism: High-Performance Spiking Neural Networks for Breast Cancer Detection Backpropagation- Based Learning Techniques for Deep Spiking Neural Networks: A Sur- vey

Reference 10

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This paper cites Cluster analysis of breast cancer data using Genetic Algorithm and Spiking Neural Networks.

Integrating Complexity and Biological Realism: High-Performance Spiking Neural Networks for Breast Cancer Detection Cluster analysis of breast cancer data using Genetic Algorithm and Spiking Neural Networks

Reference 11

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This paper cites Training Spiking Neural Networks with Metaheuristic Algorithms.

Integrating Complexity and Biological Realism: High-Performance Spiking Neural Networks for Breast Cancer Detection Training Spiking Neural Networks with Metaheuristic Algorithms

Reference 12

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This paper cites Leveraging stochasticity in memris- tive synapses for efficient and reliable neuromorphic systems.

Integrating Complexity and Biological Realism: High-Performance Spiking Neural Networks for Breast Cancer Detection Leveraging stochasticity in memris- tive synapses for efficient and reliable neuromorphic systems

Reference 13

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This paper cites Breast Cancer Recognition Using Saliency-Based Spik- ing Neural Network.

Integrating Complexity and Biological Realism: High-Performance Spiking Neural Networks for Breast Cancer Detection Breast Cancer Recognition Using Saliency-Based Spik- ing Neural Network

Reference 14

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This paper cites Effective multispike learning in a spiking neural network with a new temporal feedback backpropaga- tion for breast cancer detection.

Integrating Complexity and Biological Realism: High-Performance Spiking Neural Networks for Breast Cancer Detection Effective multispike learning in a spiking neural network with a new temporal feedback backpropaga- tion for breast cancer detection

Reference 15

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This paper cites Spiking neural network reinforcement learning method based on temporal coding and STDP.

Integrating Complexity and Biological Realism: High-Performance Spiking Neural Networks for Breast Cancer Detection Spiking neural network reinforcement learning method based on temporal coding and STDP

Reference 16

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This paper cites Multi-stages attention breast cancer classification based on nonlinear spiking neural P neurons with autapses.

Integrating Complexity and Biological Realism: High-Performance Spiking Neural Networks for Breast Cancer Detection Multi-stages attention breast cancer classification based on nonlinear spiking neural P neurons with autapses

Reference 17

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This paper cites SWAT: A Spiking Neural Network Training Algorithm for Classification Problems.

Integrating Complexity and Biological Realism: High-Performance Spiking Neural Networks for Breast Cancer Detection SWAT: A Spiking Neural Network Training Algorithm for Classification Problems

Reference 18

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This paper cites Nonlinear Spiking Neural Systems With Au- tapses for Predicting Chaotic Time Series.

Integrating Complexity and Biological Realism: High-Performance Spiking Neural Networks for Breast Cancer Detection Nonlinear Spiking Neural Systems With Au- tapses for Predicting Chaotic Time Series

Reference 19

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This paper cites DoB-SNN: A New Neuron Assembly-Inspired Spiking Neural Network for 21 Pattern Classification.

Integrating Complexity and Biological Realism: High-Performance Spiking Neural Networks for Breast Cancer Detection DoB-SNN: A New Neuron Assembly-Inspired Spiking Neural Network for 21 Pattern Classification

Reference 20

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This paper cites On the complexity of finite sequences.

Integrating Complexity and Biological Realism: High-Performance Spiking Neural Networks for Breast Cancer Detection On the complexity of finite sequences

Reference 21

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This paper cites Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems.

Integrating Complexity and Biological Realism: High-Performance Spiking Neural Networks for Breast Cancer Detection Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems

Reference 22

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This paper cites A leaky integrate-and- fire model with adaptation for the generation of a spike train.

Integrating Complexity and Biological Realism: High-Performance Spiking Neural Networks for Breast Cancer Detection A leaky integrate-and- fire model with adaptation for the generation of a spike train

Reference 23

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This paper cites Leaky Integrate and Fire Neuron by Charge-Discharge Dynamics in Floating-Body MOSFET.

Integrating Complexity and Biological Realism: High-Performance Spiking Neural Networks for Breast Cancer Detection Leaky Integrate and Fire Neuron by Charge-Discharge Dynamics in Floating-Body MOSFET

Reference 24

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This paper cites A generalized leaky integrate-and-fire neuron model with fast implementation method.

Integrating Complexity and Biological Realism: High-Performance Spiking Neural Networks for Breast Cancer Detection A generalized leaky integrate-and-fire neuron model with fast implementation method

Reference 25

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

Integrating Complexity and Biological Realism: High-Performance Spiking Neural Networks for Breast Cancer Detection Glif: A unified gated leaky integrate-and- fire neuron for spiking neural networks

Reference 26

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Integrating Complexity and Biological Realism: High-Performance Spiking Neural Networks for Breast Cancer Detection Simulating leaky integrate-and-fire neuron with integers

Reference 27

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Integrating Complexity and Biological Realism: High-Performance Spiking Neural Networks for Breast Cancer Detection CLIF: Complementary Leaky Integrate-and-Fire Neuron for Spiking Neural Networks

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Integrating Complexity and Biological Realism: High-Performance Spiking Neural Networks for Breast Cancer Detection Energy efficient neural codes

Reference 29

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Integrating Complexity and Biological Realism: High-Performance Spiking Neural Networks for Breast Cancer Detection Optimizing information pro- cessing in brain-inspired neural networks

Reference 30

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Integrating Complexity and Biological Realism: High-Performance Spiking Neural Networks for Breast Cancer Detection Computational Intelligence and optimization techniques in commu- nications and control

Reference 31

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This paper cites Does Adding of Neurons to the Network Layer Lead to Increased Transmission Efficiency? IEEE Access.

Integrating Complexity and Biological Realism: High-Performance Spiking Neural Networks for Breast Cancer Detection Does Adding of Neurons to the Network Layer Lead to Increased Transmission Efficiency? IEEE Access

Reference 32

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This paper cites Stable Spike-Timing Dependent Plasticity Rule for Multilayer Unsupervised and Su- pervised Learning.

Integrating Complexity and Biological Realism: High-Performance Spiking Neural Networks for Breast Cancer Detection Stable Spike-Timing Dependent Plasticity Rule for Multilayer Unsupervised and Su- pervised Learning

Reference 33

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Integrating Complexity and Biological Realism: High-Performance Spiking Neural Networks for Breast Cancer Detection Su- pervised Hebbian Learning

Reference 34

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This paper cites Exploring Neuromorphic Com- puting Based on Spiking Neural Networks: Algorithms to Hardware.

Integrating Complexity and Biological Realism: High-Performance Spiking Neural Networks for Breast Cancer Detection Exploring Neuromorphic Com- puting Based on Spiking Neural Networks: Algorithms to Hardware

Reference 35

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This paper cites In: Proceedings of the Image Analysis and Processing—ICIAP 2019; Sept 9–13, 2019; Trento, Italy.

Integrating Complexity and Biological Realism: High-Performance Spiking Neural Networks for Breast Cancer Detection In: Proceedings of the Image Analysis and Processing—ICIAP 2019; Sept 9–13, 2019; Trento, Italy

Reference 36

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This paper cites A change of direction in pairwise neutrino conversion physics: The effect of collisions.

Integrating Complexity and Biological Realism: High-Performance Spiking Neural Networks for Breast Cancer Detection A change of direction in pairwise neutrino conversion physics: The effect of collisions

Reference 37

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Integrating Complexity and Biological Realism: High-Performance Spiking Neural Networks for Breast Cancer Detection Unresolved cited work

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This paper cites Characterization of Gen- eralizability of Spike Timing Dependent Plasticity Trained Spiking Neural Networks.

Integrating Complexity and Biological Realism: High-Performance Spiking Neural Networks for Breast Cancer Detection Characterization of Gen- eralizability of Spike Timing Dependent Plasticity Trained Spiking Neural Networks

Reference 39

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This paper cites Spiking Neural Networks and Bio-Inspired Supervised Deep Learning: A Survey.

Integrating Complexity and Biological Realism: High-Performance Spiking Neural Networks for Breast Cancer Detection Spiking Neural Networks and Bio-Inspired Supervised Deep Learning: A Survey

Reference 40

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This paper cites Digital Twins: The New Frontier for Personalized Medicine? Appl Sci.

Integrating Complexity and Biological Realism: High-Performance Spiking Neural Networks for Breast Cancer Detection Digital Twins: The New Frontier for Personalized Medicine? Appl Sci

Reference 41

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This paper cites Artificial Neural Net- work (ANN) to Spiking Neural Network (SNN) Converters Based on Diffusive Memristors.

Integrating Complexity and Biological Realism: High-Performance Spiking Neural Networks for Breast Cancer Detection Artificial Neural Net- work (ANN) to Spiking Neural Network (SNN) Converters Based on Diffusive Memristors

Reference 42

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This paper cites CS- QCFS: Bridging the performance gap in ultra-low latency spiking neural networks.

Integrating Complexity and Biological Realism: High-Performance Spiking Neural Networks for Breast Cancer Detection CS- QCFS: Bridging the performance gap in ultra-low latency spiking neural networks

Reference 43

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Observation 9d0a8707-1ade-44e7-9c1c-9e633ee9ee25 · outbound

This paper cites Machine learning-based multiscale framework for mechanical behavior of nano-crystalline structures.

Integrating Complexity and Biological Realism: High-Performance Spiking Neural Networks for Breast Cancer Detection Machine learning-based multiscale framework for mechanical behavior of nano-crystalline structures

Reference 44

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Observation 5d7054e8-8b91-4d1a-9aa8-bdaa36a88ca3 · outbound

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Integrating Complexity and Biological Realism: High-Performance Spiking Neural Networks for Breast Cancer Detection Toward Evolving Neural Networks using Bio- Inspired Algorithms

Reference 45

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This paper cites Front Neurosci.

Integrating Complexity and Biological Realism: High-Performance Spiking Neural Networks for Breast Cancer Detection Front Neurosci

Reference 46

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This paper cites Effective Active Learning Method for Spiking Neural Networks.

Integrating Complexity and Biological Realism: High-Performance Spiking Neural Networks for Breast Cancer Detection Effective Active Learning Method for Spiking Neural Networks

Reference 47

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This paper cites Learning representations by back- propagating errors.

Integrating Complexity and Biological Realism: High-Performance Spiking Neural Networks for Breast Cancer Detection Learning representations by back- propagating errors

Reference 48

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This paper cites Back-propagation algorithm with variable adaptive momentum.

Integrating Complexity and Biological Realism: High-Performance Spiking Neural Networks for Breast Cancer Detection Back-propagation algorithm with variable adaptive momentum

Reference 49

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Observation 7cd9b6b3-3f12-484a-a23e-f17fdf117c7d · outbound

This paper cites The kinematics of the spike trains.

Integrating Complexity and Biological Realism: High-Performance Spiking Neural Networks for Breast Cancer Detection The kinematics of the spike trains

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:02:33.756261Z

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Observation 4775cfbb-70d3-4565-bcb5-aa392ade257d · outbound

This paper cites Analysis, classification, and coding of multielectrode spike trains with hidden Markov models.

Integrating Complexity and Biological Realism: High-Performance Spiking Neural Networks for Breast Cancer Detection Analysis, classification, and coding of multielectrode spike trains with hidden Markov models

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:02:33.748106Z

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Observation 607df9c2-9508-4ff6-ac02-41ce2ed6f8e8 · outbound

This paper cites Comprehensive Overview of Backpropagation Algorithm for Digital Image Denoising.

Integrating Complexity and Biological Realism: High-Performance Spiking Neural Networks for Breast Cancer Detection Comprehensive Overview of Backpropagation Algorithm for Digital Image Denoising

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:02:33.739525Z

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Observation db751ecb-e939-4d39-b8d0-2be8e864aa7d · outbound

This paper cites Back propagation artificial neural network for diagnosis of heart disease.

Integrating Complexity and Biological Realism: High-Performance Spiking Neural Networks for Breast Cancer Detection Back propagation artificial neural network for diagnosis of heart disease

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:02:33.731102Z

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Observation 6d34d8d0-c0ae-4a24-9733-fc693a2ce143 · outbound

This paper cites The tempotron: a neuron that learns spike timing-based decisions.

Integrating Complexity and Biological Realism: High-Performance Spiking Neural Networks for Breast Cancer Detection The tempotron: a neuron that learns spike timing-based decisions

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:02:33.722761Z

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Observation a602af53-d31d-4c08-ba3e-4d32c70d1067 · outbound

This paper cites A gradient learning rule for the tempotron.

Integrating Complexity and Biological Realism: High-Performance Spiking Neural Networks for Breast Cancer Detection A gradient learning rule for the tempotron

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:02:33.713692Z

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Observation 8f94e515-8246-44b0-9a99-914190877f1d · outbound

This paper cites A brain-inspired spiking neural network model with tem- poral encoding and learning.

Integrating Complexity and Biological Realism: High-Performance Spiking Neural Networks for Breast Cancer Detection A brain-inspired spiking neural network model with tem- poral encoding and learning

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:02:33.704292Z

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Observation 471f0d9d-fbbb-4fa0-bb09-dd25db807376 · outbound

This paper cites An STDP training algorithm for a spiking neural network with dynamic threshold neurons.

Integrating Complexity and Biological Realism: High-Performance Spiking Neural Networks for Breast Cancer Detection An STDP training algorithm for a spiking neural network with dynamic threshold neurons

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:02:33.695187Z

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Observation 1ba7204b-ec0d-46e9-9c97-07951725a718 · outbound

This paper cites Solving a classifica- tion task by spiking neural network with STDP based on rate and temporal input encoding.

Integrating Complexity and Biological Realism: High-Performance Spiking Neural Networks for Breast Cancer Detection Solving a classifica- tion task by spiking neural network with STDP based on rate and temporal input encoding

Reference 58

Resolution: verified exact; doi, observed 2026-08-07T06:02:32.651601Z

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Observation 07d8052d-62be-43b2-bf9e-b924d0b833f2 · outbound

This paper cites Devel- opment of a Self-Regulating Evolving Spiking Neural Network for classification problem.

Integrating Complexity and Biological Realism: High-Performance Spiking Neural Networks for Breast Cancer Detection Devel- opment of a Self-Regulating Evolving Spiking Neural Network for classification problem

Reference 59

Resolution: verified exact; doi, observed 2026-08-07T06:02:32.642475Z

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Observation 77a33a0a-9ad9-417c-b6cd-4a6979860dc9 · outbound

This paper cites Bio-Inspired Classification: Combining Information Theory and Spiking Neural Networks - Influ- ence of the Learning Rules.

Integrating Complexity and Biological Realism: High-Performance Spiking Neural Networks for Breast Cancer Detection Bio-Inspired Classification: Combining Information Theory and Spiking Neural Networks - Influ- ence of the Learning Rules

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:02:33.685963Z

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