Theories of Error Back-Propagation in the Brain

Cited by (420)

Items 201–300 of 420

1. Cortical Hierarchy, Dual Counterstream Architecture and The Importance of Top-Down Generative Networks
   Julien Vezoli, Loïc Magrou, Rainer Goebel, Xiao-Jing Wang, Kenneth Knoblauch, Martin A. Vinck, Henry Kennedy · 2020 · bioRxiv (Cold Spring Harbor Laboratory)
2. Credit Assignment Through Broadcasting a Global Error Vector
   Clark, David G., Larry F. Abbott, SueYeon Chung · 2021 · arXiv (Cornell University)
3. Encoding of speech in convolutional layers and the brain stem based on language experience
   Gašper Beguš, Alan Zhou, Tian Christina Zhao · 2022 · bioRxiv (Cold Spring Harbor Laboratory)
4. Improving generalization in DNNs through enhanced orthogonality in momentum-based optimizers
   Zhixing Lu, Yuanyuan Sun, Zhihao Yang, Yuanyu Zhang, Paerhati Tulajiang, Haochen Sun, Hongfei Lin · 2025 · Information Processing & Management
5. Research on the impact of urban built environments on PM2.5 pollution based on machine learning methods
   Xiaoxia Wang, Zhihai Fan, Yue X, Qianqian Zhou, Danting Lin, Hong Zou · 2025 · Atmospheric Pollution Research
6. Taxonomy-Informed Neural Networks for Smart Manufacturing
   Vagan Y. Terziyan, Oleksandra Vitko · 2024 · Procedia Computer Science
7. The neural basis for uncertainty processing in hierarchical decision making
   Mien Brabeeba Wang, Nancy Lynch, Michael M. Halassa · 2025 · Nature Communications
8. Backpropagation-free Graph Neural Networks
   Luca Pasa, Nicolò Navarin, Wolfgang Erb, Alessandro Sperduti · 2022 · Proceedings
9. Understanding and Improving Optimization in Predictive Coding Networks
   Nicholas Alonso, Jeffrey L. Krichmar, Emre Ozgur Neftci · 2024 · Proceedings of the AAAI Conference on Artificial Intelligence
10. Deep predictive coding with bi-directional propagation for classification and reconstruction
    Senhui Qiu, Saugat Bhattacharyya, Damien Coyle, Shirin Dora · 2025 · Neural Networks
11. Computational reproductions of external force field adaption without assuming desired trajectories
    Hiroyuki Kambara, Atsushi Takagi, Haruka Shimizu, Toshihiro Kawase, Natsue Yoshimura, Nicolas Schweighofer, Yasuharu Koike · 2021 · Neural Networks
12. Development of Smart Home System Based on Artificial Intelligence with Variable Learning Rate to Manage Household Energy Consumption
    Ihsan Auditia Akhinov, Muhammad Ridwan Arif Cahyono · 2021 · IEEE International Conference on Artificial Intelligence and Mechatronics Systems (AIMS)
13. Replay as a Basis for Backpropagation Through Time in the Brain
    Huzi Cheng, Joshua W. Brown · 2025 · Neural Computation
14. Computational Characteristics of the Striatal Dopamine System Described by Reinforcement Learning With Fast Generalization
    Yoshihisa Fujita, Sho Yagishita, Haruo Kasai, Shin Ishii · 2020 · Frontiers in Computational Neuroscience
15. A Deep Unsupervised Feature Learning Spiking Neural Network with Binarized Classification Layers for EMNIST Classification using SpykeFlow
    Ruthvik Vaila, John Chiasson, Vishal Saxena · 2020 · arXiv (Cornell University)
16. ZETA: a parameter-free statistical test for neuronal responsiveness
    Jorrit Steven Montijn, Koen Seignette, Marcus H. C. Howlett, J. Leonie Cazemier, Maarten Kamermans, Christiaan Nicolaas Levelt, J. Alexander Heimel · 2020 · bioRxiv (Cold Spring Harbor Laboratory)
17. Flexible cognition in context-modulated reservoir networks
    Nicolas Y. Masse, Matthew C. Rosen, Doris Y. Tsao, David J. Freedman · 2022 · bioRxiv (Cold Spring Harbor Laboratory)
18. Ornstein–Uhlenbeck Adaptation as a Mechanism for Learning in Brains and Machines
    J. García Fernández, Nasir Ahmad, M. van Gerven · 2024 · Entropy
19. Prediction of Cutting Force for Different Tools Based on Transfer Learning and Neural Networks
    Zhengkang Li, Chang Ni · 2025 · International Journal of Precision Engineering and Manufacturing
20. Pengembangan Smart Home System Berbasis Kecerdasan Buatan untuk Memanajemen Konsumsi Energi Rumah Tangga dengan Pendekatan Finansial
    Ihsan Auditia Akhinov, Muhammad Ridwan Arif Cahyono · 2021 · JSAI (Journal Scientific and Applied Informatics)
21. A unified framework for backpropagation-free soft and hard gated graph neural networks
    Luca Pasa, Nicolò Navarin, Wolfgang Erb, Alessandro Sperduti · 2023 · Knowledge and Information Systems
22. An Agent-Based Model to Reproduce the Boolean Logic Behaviour of Neuronal Self-Organised Communities through Pulse Delay Modulation and Generation of Logic Gates
    Luis Irastorza-Valera, José María Benítez, Francisco Javier Montáns, Luis Saucedo‐Mora · 2024 · Biomimetics
23. Energy optimization induces predictive-coding properties in a multi-compartment spiking neural network model
    Mingfang Zhang, Raluca Chitic, Sander M. Bohté · 2025 · PLoS Computational Biology
24. The Computational Evolution of Cognitive Architectures
    Iuliia Kotseruba, John K. Tsotsos · 2025
25. Characterizing emergent representations in a space of candidate learning rules for deep networks
    Yinan Cao, Christopher Summerfield, Andrew Saxe · 2020 · neural information processing systems
26. Complexity emerging from simplicity: Bifurcation analysis of the weights time series in a feedforward neural network
    Hossein Banki-Koshki, Seyyed Ali Seyyedsalehi · 2022 · Communications in Nonlinear Science and Numerical Simulation
27. Efficient Motor Learning Through Action-Perception Cycles in Deep Kinematic Inference
    Matteo Priorelli, Ivilin Peev Stoianov · 2023 · Communications in computer and information science
28. Forecasting Model for the Number of Breeding Sows Based on Pig’s Months of Age Transfer and Improved Flower Pollination Algorithm-Back Propagation Neural Network
    Haohao Song, Hongyu Zhang, Jingnan Yang, Jiquan Wang · 2024 · Applied Intelligence
29. Thalamocortical contribution to solving credit assignment in neural systems
    Mien Brabeeba Wang, Michael M. Halassa · 2021 · arXiv (Cornell University)
30. Evolutionary and spike-timing-dependent reinforcement learning train spiking neuronal network motor control
    Daniel Haşegan, Matt Deible, Christopher Earl, David D’Onofrio, Hananel Hazan, Haroon Anwar, Samuel A. Neymotin · 2021 · bioRxiv (Cold Spring Harbor Laboratory)
31. A Predictive Coding Model of the N400
    Samer Nour Eddine, Trevor A. Brothers, Lin Wang, Michael Spratling, Gina R. Kuperberg · 2023 · bioRxiv (Cold Spring Harbor Laboratory)
32. Enhancing the accuracy of low-cost thermocouple devices through deep-wavelet neural network calibration
    James Julian, Fitri Wahyuni, Annastya Bagas Dewantara, Adi Winarta, Nandy Setiadi Djaya Putra · 2024 · International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering
33. BrainTwin-AI: A Multimodal MRI-EEG-Based Cognitive Digital Twin for Real-Time Brain Health Intelligence
    Himadri Nath Saha, Utsho Banerjee, Rajarshi Karmakar, Saptarshi Banerjee, Jon Turdiev · 2026 · Brain Sciences
34. A Neural Network Training Method Based on Distributed PID Control
    Kun Jiang · 2025 · Symmetry
35. Three-factor learning in spiking neural networks: An overview of methods and trends from a machine learning perspective
    Szymon Mazurek, Jakub Caputa, Jan K. Argasiński, Maciej Wielgosz · 2025 · Patterns
36. Hippocampo-neocortical interaction as compressive retrieval-augmented generation
    Eleanor Spens, Neil Burgess · 2026 · Nature Communications
37. Clinical Computational Neuroscience
    Michael N. Hallquist, Alexandre Y. Dombrovski · 2020 · Cambridge University Press eBooks
38. A method for support neuron selection in NMLI
    Ziyan Qin, Jigen Peng, Deqaun Jin · 2022 · Neurocomputing
39. Evaluating the extent to which homeostatic plasticity learns to compute prediction errors in unstructured neuronal networks
    Vicky Zhu, Robert Rosenbaum · 2022 · Journal of Computational Neuroscience
40. A generic neural factor linking resting-state neural dynamics and the brain’s response to unexpectedness in multilevel cognition
    Guang Ouyang · 2022 · Cerebral Cortex
41. Optimal Scheduling of Neural Network-Based Estimated Renewable Energy Nanogrid
    Asad Ali, Muhammad Salman Fakhar, Syed Abdul Rahman Kashif, Ghulam Abbas, Irfan Khan, Akhtar Rasool, Nasim Ullah · 2022 · Energies
42. Culture intelligent workflow, structure, and steps
    James Andrew Henry · 2023 · Frontiers in Artificial Intelligence
43. Recognizing handwritten digits using spiking neural networks with learning algorithms based on sliding mode control theory
    Yeşim Öniz, Mehmet Ayyıldız · 2023 · TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES
44. Screening and Analysis of Skin Cancer Treatment Using Biocomponents of Plants Using Backpropagation Neural Networks: A Comprehensive Review
    Urvashi Soni, Jeetendra Kumar Gupta, Kuldeep Singh, Girdhar Khandelwal · 2023 · Current Cancer Therapy Reviews
45. Design and evaluation of brain-inspired predictive coding networks based on the free-energy principle for novel neuromorphic hardware
    Naruki Hagiwara, Takafumi Kunimi, Kota Ando, Megumi Akai‐Kasaya, Tetsuya Asai · 2023 · Nonlinear Theory and Its Applications IEICE
46. Stock Market Prediction Using Machine Learning: Evidence from India
    Subhamitra Patra, Trilok Nath Pandey, Biswabhusan Bhuyan · 2024 · Intelligent systems reference library
47. Deep Hybrid Models: Infer and Plan in a Dynamic World
    Matteo Priorelli, Ivilin Peev Stoianov · 2025 · Entropy
48. A Computational Theory for the Emergence of Grammatical Categories in Cortical Dynamics
    Darío Demattíes, Silvio Rizzi, George K. Thiruvathukal, Mauricio David Perez, Alejandro Javier Wainselboim, B. Silvano Zanutto · 2020 · Frontiers in Neural Circuits
49. Overview and Classification of Swarm Intelligence-Based Nature-Inspired Computing Algorithms and Their Applications in Cancer Detection and Diagnosis
    Fatima Nazish Khan, Mohammad Asim, Mohammad Irfan Qureshi · 2022 · Studies in computational intelligence
50. The Effect of Resampling on Classifier Performance: anEmpirical Study
    Utomo Pujianto, Muhammad Akbar, Niendhita Tamia Lassela, Deni Sutaji · 2022 · Knowledge Engineering and Data Science
51. Toward One-Shot Learning in Neuroscience-Inspired Deep Spiking Neural Networks
    Faramarz Faghihi, Hossein Molhem, Ahmed A. Moustafa · 2019 · bioRxiv (Cold Spring Harbor Laboratory)
52. Kalman filters as the steady-state solution of gradient descent on variational free energy
    Manuel Baltieri, Takuya Isomura · 2021 · arXiv (Cornell University)
53. A neuronal least-action principle for real-time learning in cortical circuits
    Walter Senn, Dominik Dold, Ákos F. Kungl, Benjamin Ellenberger, Jakob Jordan, Yoshua Bengio, João Sacramento, Mihai Alexandru Petrovici · 2023 · eLife
54. A Comprehensive Analysis of the Latest Automatic Applications of Artificial Intelligence in the Diagnosis of Cardiovascular Diseases
    Carlos Polanco, Rosalinda Posadas‐Sánchez, Gilberto Vargas‐Alarcón · 2023 · Preprints.org
55. A neuronal least-action principle for real-time learning in cortical circuits
    Walter Senn, Dominik Dold, Ákos F. Kungl, Benjamin Ellenberger, Jakob Jordan, Yoshua Bengio, João Sacramento, Mihai Alexandru Petrovici · 2024 · eLife
56. Computational-Intelligence-Based Scheduling with Edge Computing in Cyber–Physical Production Systems
    Changqing Xia, Xi Hai Jin, Chi Xu, Peng Zeng · 2023 · Entropy
57. A survey on neuro-mimetic deep learning via predictive coding
    Salvatori, Tommaso, Mali, Ankur, Buckley, Christopher L., Lukasiewicz, Thomas, Rao, Rajesh P.N., Friston, Karl, Ororbia, Alexander · 2026 · Neural Networks
58. Continual learning with a predictive coding based classifier
    Senhui Qiu, Saugat Bhattacharyya, Damien Coyle, Shirin Dora · 2025 · Applied Soft Computing
59. Feature-specific predictive processing: What’s in a prediction error?
    David Richter, Cem Uran, Martin A. Vinck, Floris P. de Lange · 2025 · Imaging Neuroscience
60. Learning discriminative features within forward-Forward algorithm using convolutional prototype
    Qiufu Li, Zewen Li, Linlin Shen · 2026 · Pattern Recognition
61. Hebbian Learning with Global Direction
    Wenjia Hua, Kejie Zhao, Luziwei Leng, Ran Cheng, Yuxin Ma, Qinghai Guo · 2026 · IEEE International Conference on Acoustics Speech and Signal Processing
62. Treat-Before-Collapse: Forecasting Change of National Pension Assets in G7 and Republic of Korea by Demographic-Based Machine Learning Approach
    Young Suh Song, Jang Hyun Kim, One-Sun Cho · 2023 · Springer proceedings in business and economics
63. Predicting triplanar and bidirectional movements for a transtibial prosthesis for rehabilitation using intelligent neural networks
    Jesús de la Cruz-Alejo, Jesus Antonio Lobato-Cadena, Maria Belem Arce Vazquez, A. Mora · 2024 · Neural Computing and Applications
64. Considerations of Biological Plausibility in Deep Learning
    James Campbell · 2022 · Cornell Undergraduate Research Journal
65. Weight Perturbation and Competitive Hebbian Plasticity for Training Sparse Excitatory Neural Networks
    Patrick Stricker, Florian Röhrbein, Andreas Knoblauch · 2024 · International Joint Conference on Neural Networks (IJCNN)
66. The underlying mechanisms of alignment in error backpropagation through arbitrary weights
    Alireza Rahmansetayesh, Ali Ghazizadeh, Farokh Marvasti · 2024 · Neurocomputing
67. Computation With Sequences of Assemblies in a Model of the Brain
    Max Dabagia, Christos H. Papadimitriou, Santosh Vempala · 2024 · Neural Computation
68. Computational models of learning and synaptic plasticity
    Danil Tyulmankov · 2025 · Elsevier eBooks
69. Brain analysis to approach human muscles synergy using deep learning
    Elham Samadi, Fereidoun Nowshiravan Rahatabad, Ali Motie Nasrabadi, Nader Jafarnia Dabanloo · 2025 · Cognitive Neurodynamics
70. Dynamical Mechanism of Sampling-Based Probabilistic Inference Under Probabilistic Population Codes
    Kohei Ichikawa, Asaki Kataoka · 2022 · Neural Computation
71. Applying the Properties of Neurons in Machine Learning: A Brain-like Neural Model with Interactive Stimulation for Data Classification
    Da Li, Molan Li, Zhi‐Li Huang · 2022 · Brain Sciences
72. Towards New Generation, Biologically Plausible Deep Neural Network Learning
    Anirudh Apparaju, Ognjen Arandjelović · 2022 · Sci
73. Leveraging conscious and nonconscious learning for efficient AI
    Rachel St. Clair, L. Andrew Coward, Susan M. Schneider · 2023 · Frontiers in Computational Neuroscience
74. Electricity Demand Prediction of Smart Grid in Smart Cities Using K-means Algorithm
    Shurui Wang, Aifeng Song, Yufeng Qian · 2021 · Research Square
75. Assemblies of neurons can learn to classify well-separated distributions.
    Max Dabagia, Christos H. Papadimitriou, Santosh Vempala · 2021 · arXiv (Cornell University)
76. Unsupervised Representation Learning with Hebbian Synaptic and Structural Plasticity in Brain-Like Feedforward Neural Networks
    Naresh Balaji Ravichandran, Anders Lansner, Pawel Andrzej Herman · 2024 · SSRN Electronic Journal
77. Differentiation and Integration of Competing Memories: A Neural Network Model
    Victoria J. H. Ritvo, Alex Nguyen, Nicholas B. Turk‐Browne, Kenneth A. Norman · 2024 · eLife
78. The Spiking Tolman-Eichenbaum Machine: Emergent Spatial and Temporal Coding through Spiking Network Dynamics
    Daisuke Kawahara, Shigeyoshi Fujisawa · 2025 · bioRxiv (Cold Spring Harbor Laboratory)
79. Confidence-Controlled Hebbian Learning Efficiently Extracts Category Membership From Stimuli Encoded in View of a Categorization Task
    Kevin Berlemont, Jean‐Pierre Nadal · 2021 · Neural Computation
80. Enhancing neural rehabilitation insights: on the path of bridging artificial and biological neural networks
    Abdullatif Baba · 2025 · Brain Informatics
81. Neural Associative Skill Memories for Safer Robotics and Modeling Human Sensorimotor Repertoires
    Pranav Mahajan, Mufeng Tang, Tianjin Li, Ioannis Havoutis, Ben Seymour · 2025 · Neural Computation
82. Machine Learning-Based Performance Evaluation of from Electric Ship Propulsion Shafts Using Vibration Data
    Jin‐Man Kim, Ji-Man Choi, Young-Du Kim, Taek‐Kun Nam · 2025 · Journal of the Korean Society of Marine Environment and Safety
83. NeuroViT: A Neuro-Adaptive Vision Transformer with Predictive Coding for Interpretable Multi-Class Ocular Disease Classification
    Bahtiar Imran, Selamet Riadi, Hasan Basri, Surni Erniwati, Zaeniah, Zumratul Muahidin, Muhamad Masjun Efendi, Ahmad Yani · 2025 · International Conference on Informatics, Multimedia, Cyber and Information System (ICIMCIS)
84. Adjoint propagation of error signal through modular recurrent neural networks for biologically plausible learning
    Zhuo Liu, Hao Shu, Linmiao Wang, Meng Xu, Yousheng Wang, Xuancheng Li, Wei Wang, Tao Chen · 2026 · eLife
85. Looking to the brain to improve energy efficiency of AI
    Megan A. K. Peters, Seng Bum Michael Yoo, Michał Klincewicz, Taro Toyoizumi, Blake A. Richards, Taylor W. Webb, Hakwan C. Lau · 2026 · Current Biology
86. An improved third term backpropagation algorithm – inertia expanded chebyshev orthogonal polynomial
    M. Sornam, V. Vanitha · 2019 · Journal of Intelligent & Fuzzy Systems
87. Overcoming the Weight Transport Problem via Spike-Timing-Dependent Weight Inference
    Nasir Ahmad, Luca Ambrogioni, Marcel A. J. van Gerven · 2021 · Neurons Behavior Data analysis and Theory
88. Two-Argument Activation Functions Learn Soft XOR Operations Like Cortical Neurons
    J.H. Kim, Emin Orhan, Kijung Yoon, Xaq Pitkow · 2022 · IEEE Access
89. Feature alignment as a generative process
    Tiago de Souza Farias, Jonas Maziero · 2023 · Frontiers in Artificial Intelligence
90. Computational Modeling of Basic Cognitive Functionalities
    2023 · Cambridge University Press eBooks
91. Computational Neuroscience Models of Working Memory
    Thomas E. Hazy, Michael J. Frank, Randall C. O’Reilly · 2023 · Cambridge University Press eBooks
92. Construction of a neural network for handwritten digits recognition based on TensorFlow library applying an error backpropagation algorithm
    Tetyana O. Filimonova, H.T. Samoylenko, Anna V. Selivanova, Yu.Yu. Yurchenko, Alexei Parashchak · 2023 · Eastern-European Journal of Enterprise Technologies
93. Synthesis of causal and surrogate models by non-equilibrium thermodynamics in biological systems
    Kazuhiro Sakurada, Tetsuo Ishikawa · 2024 · Scientific Reports
94. Design of smoke detection system using deep learning and sensor fusion with recursive feature elimination cross-validation
    James Julian, Annastya Bagas Dewantara, Fitri Wahyuni · 2024 · IAES International Journal of Artificial Intelligence
95. DELAUNAY: A Dataset of Abstract Art for Psychophysical and Machine Learning Research
    Camille Gontier, Jakob Jordan, Mihai Alexandru Petrovici · 2025 · Lecture notes in networks and systems
96. ‘Backpropagation and the brain’ realized in cortical error neuron microcircuits
    Kevin Max, Ismael Jaras, Arno Granier, Katharina Anna Wilmes, Mihai Alexandru Petrovici · 2026 · PLoS Computational Biology
97. PCA effect on the 3D face recognition system speed
    Adhi Kusnadi, Wella Wella, Rangga Winantyo, Ivransa Zuhdi Pane · 2021 · IOP Conference Series Materials Science and Engineering
98. Sparse Neural Representation of Odor Predicts Learning.
    James McManus · 2020 · PubMed Central
99. A Soft-Sensor Modeling Method Based on Gated Stacked Isomorphic Autoencoder
    Jianjun Yang, Xiaolu Xu, Xiaohui Yin, Wenxing Liu, Yi Yuan, Jian Peng · 2022 · Chinese Control Conference (CCC)
100. Unsupervised learning and clustered connectivity enhance reinforcement learning in spiking neural networks
     Philipp Weidel, Renato Duarte, Abigail Morrison · 2020 · bioRxiv (Cold Spring Harbor Laboratory)