Search Results - "implementing predictive coding"

S1 Appendix - Relating sparse and predictive coding to divisive normalization

Authors: Yanbo Lian Anthony N. Burkitt

Subject Terms: Physiology, Science Policy, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, substantial experimental evidence, replicates different forms, primary visual cortex, learn simple cells, still poorly understood, implementing predictive coding, regulates neural responses, implements sparse coding, learning framework based, predictive coding, neural responses, sparse coding, sparse responses, predictive structure, neural circuits, well investigated, unified framework, study demonstrates, relating sparse, network structure, many parts, learning framework, integrate input, hebbian learning, framework incorporates, explicitly within

Availability: https://doi.org/10.1371/journal.pcbi.1013059.s001
https://figshare.com/articles/journal_contribution/S1_Appendix_-_Relating_sparse_and_predictive_coding_to_divisive_normalization/29160524

DISCOVERING DISCOVERY TECHNOLOGY! A MODEL ORDER AND PILOT PROGRAM FOR IMPLEMENTING PREDICTIVE CODING AND OTHER NEW TECHNOLOGIES IN DOCUMENT REVIEW.

Authors: Sutton, Andrew John¹

Source: AIPLA Quarterly Journal. Summer2014, Vol. 42 Issue 3, p459-492. 34p.

Subject Terms: Computer-aided engineering, Coding theory, Document classification, Computers in engineering

Company/Entity: United States International Trade Commission

Divisive normalization (DN) can be identical to sparse/predictive coding (SPC) for single-neuron scenario.

Authors: Yanbo Lian Anthony N. Burkitt

Subject Terms: Physiology, Science Policy, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, substantial experimental evidence, replicates different forms, primary visual cortex, learn simple cells, still poorly understood, implementing predictive coding, regulates neural responses, implements sparse coding, learning framework based, predictive coding, neural responses, sparse coding, sparse responses, predictive structure, neural circuits, well investigated, unified framework, study demonstrates, relating sparse, network structure, many parts, learning framework, integrate input, hebbian learning, framework incorporates, explicitly within

Availability: https://doi.org/10.1371/journal.pcbi.1013059.g004
https://figshare.com/articles/figure/Divisive_normalization_DN_can_be_identical_to_sparse_predictive_coding_SPC_for_single-neuron_scenario_/29160536

Sparse/Predictive coding (SPC) model with different homeostasis functions can generate diverse nonlinearities of response vs. contrast curve that are observed experimentally.

Authors: Yanbo Lian Anthony N. Burkitt

Subject Terms: Physiology, Science Policy, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, substantial experimental evidence, replicates different forms, primary visual cortex, learn simple cells, still poorly understood, implementing predictive coding, regulates neural responses, implements sparse coding, learning framework based, predictive coding, neural responses, sparse coding, sparse responses, predictive structure, neural circuits, well investigated, unified framework, study demonstrates, relating sparse, network structure, many parts, learning framework, integrate input, hebbian learning, framework incorporates, explicitly within

Relation: https://figshare.com/articles/figure/Sparse_Predictive_coding_SPC_model_with_different_homeostasis_functions_can_generate_diverse_nonlinearities_of_response_vs_contrast_curve_that_are_observed_experimentally_/29160542

Availability: https://doi.org/10.1371/journal.pcbi.1013059.g006
https://figshare.com/articles/figure/Sparse_Predictive_coding_SPC_model_with_different_homeostasis_functions_can_generate_diverse_nonlinearities_of_response_vs_contrast_curve_that_are_observed_experimentally_/29160542

SPC with a proposed homeostasis function can learn simple cells as well as account for response saturation.

Authors: Yanbo Lian Anthony N. Burkitt

Subject Terms: Physiology, Science Policy, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, substantial experimental evidence, replicates different forms, primary visual cortex, learn simple cells, still poorly understood, implementing predictive coding, regulates neural responses, implements sparse coding, learning framework based, predictive coding, neural responses, sparse coding, sparse responses, predictive structure, neural circuits, well investigated, unified framework, study demonstrates, relating sparse, network structure, many parts, learning framework, integrate input, hebbian learning, framework incorporates, explicitly within

Relation: https://figshare.com/articles/figure/SPC_with_a_proposed_homeostasis_function_can_learn_simple_cells_as_well_as_account_for_response_saturation_/29160539

Availability: https://doi.org/10.1371/journal.pcbi.1013059.g005
https://figshare.com/articles/figure/SPC_with_a_proposed_homeostasis_function_can_learn_simple_cells_as_well_as_account_for_response_saturation_/29160539

Model structure of sparse/predictive coding (SPC).

Authors: Yanbo Lian Anthony N. Burkitt

Subject Terms: Physiology, Science Policy, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, substantial experimental evidence, replicates different forms, primary visual cortex, learn simple cells, still poorly understood, implementing predictive coding, regulates neural responses, implements sparse coding, learning framework based, predictive coding, neural responses, sparse coding, sparse responses, predictive structure, neural circuits, well investigated, unified framework, study demonstrates, relating sparse, network structure, many parts, learning framework, integrate input, hebbian learning, framework incorporates, explicitly within

Relation: https://figshare.com/articles/figure/Model_structure_of_sparse_predictive_coding_SPC_/29160530

Availability: https://doi.org/10.1371/journal.pcbi.1013059.g002
https://figshare.com/articles/figure/Model_structure_of_sparse_predictive_coding_SPC_/29160530

Model structure of divisive normalization (DN).

Authors: Yanbo Lian Anthony N. Burkitt

Subject Terms: Physiology, Science Policy, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, substantial experimental evidence, replicates different forms, primary visual cortex, learn simple cells, still poorly understood, implementing predictive coding, regulates neural responses, implements sparse coding, learning framework based, predictive coding, neural responses, sparse coding, sparse responses, predictive structure, neural circuits, well investigated, unified framework, study demonstrates, relating sparse, network structure, many parts, learning framework, integrate input, hebbian learning, framework incorporates, explicitly within

Relation: https://figshare.com/articles/figure/Model_structure_of_divisive_normalization_DN_/29160527

Availability: https://doi.org/10.1371/journal.pcbi.1013059.g001
https://figshare.com/articles/figure/Model_structure_of_divisive_normalization_DN_/29160527

Equilibrium of sparse/predictive coding model explained in one-dimensional space.

Authors: Yanbo Lian Anthony N. Burkitt

Subject Terms: Physiology, Science Policy, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, substantial experimental evidence, replicates different forms, primary visual cortex, learn simple cells, still poorly understood, implementing predictive coding, regulates neural responses, implements sparse coding, learning framework based, predictive coding, neural responses, sparse coding, sparse responses, predictive structure, neural circuits, well investigated, unified framework, study demonstrates, relating sparse, network structure, many parts, learning framework, integrate input, hebbian learning, framework incorporates, explicitly within

Availability: https://doi.org/10.1371/journal.pcbi.1013059.g003
https://figshare.com/articles/figure/Equilibrium_of_sparse_predictive_coding_model_explained_in_one-dimensional_space_/29160533

Relating sparse and predictive coding to divisive normalization.

Authors: Lian, Yanbo Burkitt, Anthony N.

Source: PLoS Computational Biology; 5/27/2025, Vol. 21 Issue 5, p1-22, 22p

Subject Terms: LINEAR network coding, NEURAL circuitry, STRUCTURAL frames, HOMEOSTASIS, NEUROSCIENCES

Where is the error? Hierarchical predictive coding through dendritic error computation.

Authors: Mikulasch, Fabian A. Rudelt, Lucas Wibral, Michael et al.

Source: Trends in Neurosciences. Jan2023, Vol. 46 Issue 1, p45-59. 15p.

Subject Terms: *NEURAL physiology, *PHYSIOLOGICAL adaptation, *SENSORIMOTOR integration, *LINEAR network coding, *PREDICTIVE tests, *DENDRITES

Codage prédictif dans le cerveau et les réseaux de neurones profonds

Authors: Pang, Zhaoyang

Index Terms: Généralites en Sciences, PhD Thesis, NonPeerReviewed

URL: http://thesesups.ups-tlse.fr/5292/1/2022TOU30037.pdf
http://thesesups.ups-tlse.fr/5292/
http://thesesups.ups-tlse.fr/5292

A Predictive Coding Account for Chaotic Itinerancy

Authors: Annabi, Louis Pitti, Alexandre Quoy, Mathias

Index Terms: Computer Science - Neural and Evolutionary Computing, Computer Science - Machine Learning, Nonlinear Sciences - Chaotic Dynamics, text

URL: http://arxiv.org/abs/2106.08937

Energy optimization induces predictive-coding properties in a multi-compartment spiking neural network model.

Authors: Zhang, Mingfang Chitic, Raluca Bohté, Sander M.

Source: PLoS Computational Biology; 6/10/2025, Vol. 21 Issue 6, p1-23, 23p

Subject Terms: ARTIFICIAL neural networks, DEEP learning, BIOLOGICAL networks, ENERGY consumption, SENSORIMOTOR integration

"The Dark Side of Musculoskeletal Care": Why Do Ineffective Techniques Seem to Work? A Comprehensive Review of Complementary and Alternative Therapies.

Authors: Mamud-Meroni, Lucas Tarcaya, Germán E. Carrasco-Uribarren, Andoni et al.

Source: Biomedicines; Feb2025, Vol. 13 Issue 2, p392, 79p

Subject Terms: OSTEOPATHIC medicine, PLACEBOS, PSYCHOSOCIAL factors, MUSCULOSKELETAL system diseases, EVIDENCE-based medicine

Automatic Adaptation to Fast Input Changes in a Time-Invariant Neural Circuit.

Authors: Bharioke, Arjun Chklovskii, Dmitri B.

Source: PLoS Computational Biology; 8/6/2015, Vol. 11 Issue 8, p1-24, 24p, 1 Diagram, 1 Chart, 6 Graphs

Subject Terms: NEURAL circuitry adaptation, NEURONS, CELLULAR signal transduction, SACCADIC eye movements, PREDICTIVE control systems

Responses to Pattern-Violating Visual Stimuli Evolve Differently Over Days in Somata and Distal Apical Dendrites.

Authors: Gillon, Colleen J. Pina, Jason E. Lecoq, Jérôme A. et al.

Source: Journal of Neuroscience; 1/31/2024, Vol. 44 Issue 5, p1-22, 22p

Subject Terms: VISUAL perception, PYRAMIDAL neurons, VISUAL cortex, NEOCORTEX, NEURONS

Predictive Coding, Variational Autoencoders, and Biological Connections.

Authors: Marino, Joseph

Source: Neural Computation; Jan2022, Vol. 34 Issue 1, p1-44, 44p, 13 Diagrams, 1 Chart

Subject Terms: MACHINE learning, NEUROSCIENCES

Relating sparse/predictive coding to divisive normalization

Authors: Yanbo Lian Anthony N. Burkitt

Does signal reduction imply predictive coding in models of spoken word recognition?

Authors: Luthra, Sahil Li, Monica Y. C. You, Heejo et al.

Source: Psychonomic Bulletin & Review; Aug2021, Vol. 28 Issue 4, p1381-1389, 9p

Subject Terms: WORD recognition, PREDICTION models, COGNITIVE neuroscience, SPEECH perception, PHONEME (Linguistics)

Deep Gated Hebbian Predictive Coding Accounts for Emergence of Complex Neural Response Properties Along the Visual Cortical Hierarchy.

Authors: Dora, Shirin Bohte, Sander M. Pennartz, Cyriel M. A.

Source: Frontiers in Computational Neuroscience; 7/28/2021, Vol. 15, p1-20, 20p

Subject Terms: IMAGE reconstruction