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Paper Citation Record · LEDGER

Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints

As of 10 August 2026, this Paper Citation Record lists 100 of 103 outbound references and 0 inbound Pith citation observations for arXiv:2607.16027.

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pith.paper-citation-record.v1
2607.16027 v1

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measured 100 of 103 reference resolution

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100 of 103 outbound references displayed

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Outbound references

Observation 840978ce-932e-478e-933b-b458bf82639e · outbound

This paper cites Information and Effi- ciency in the Nervous System–A Synthesis,.

Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints Information and Effi- ciency in the Nervous System–A Synthesis,

Reference 1

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This paper cites Structural Plasticity, Effectual Connectivity and Memory in Cortex,.

Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints Structural Plasticity, Effectual Connectivity and Memory in Cortex,

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Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints An Energy Budget for Signaling in the Grey Matter of the Brain,

Reference 3

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Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints The Cost of Cortical Computation,

Reference 4

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This paper cites Black hole binaries and light fields: Gravitational molecules.

Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints Black hole binaries and light fields: Gravitational molecules

Reference 5

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Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints The Thermodynamics of Thinking: Connections Be- tween Neural Activity, Energy Metabolism and Blood Flow,

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Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints Receptive Fields and Functional Ar- chitecture of Monkey Striate Cortex,

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This paper cites Edge Co-Occurrence in Natural Images Predicts Contour Group- ing Performance,.

Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints Edge Co-Occurrence in Natural Images Predicts Contour Group- ing Performance,

Reference 8

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Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints Emergence of Simple-Cell Recep- tive Field Properties by Learning a Sparse Code for Natural Images,

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Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints Memory Capacities for Synaptic and Structural Plasticity,

Reference 11

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Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints Die Thermodynamik chemischer Vorg¨ ange,

Reference 12

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Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints Energy Efficiency and Coding of Neu- ral Network,

Reference 13

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Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints The Free-Energy Principle: A Unified Brain The- ory?,

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Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints A Free Energy Principle for Biological Sys- tems,

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Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints Deep Varia- tional Information Bottleneck,

Reference 16

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Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints Impact of Structural Plasticity on Memory Formation and Decline,

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Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints The Lottery Ticket Hypothesis: Find- ing Sparse, Trainable Neural Networks,

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Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints Provable Benefits of Overparameterization in Model Compression: From Double Descent to Pruning Neural Networks,

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Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints Learning Both Weights and Connections for Efficient Neural Networks,

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Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints Pruning Filters for Efficient ConvNets

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Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints Guiding Sparse Neu- ral Networks with Neurobiological Principles to Elicit Biologically Plausible Representations,

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Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints Energy-Efficient Informa- tion Representation in MNIST Classification Using Biologically In- spired Learning,

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Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints Weight Perturbation and Competitive Hebbian Plasticity for Training Sparse Excitatory Neural Networks,

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Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints Solving the Problem of Negative Synaptic Weights in Cortical Models,

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Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints A Theoretical Framework for Target Propagation,

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Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints Audio-Visual Event Localization in Unconstrained Videos,

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Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints Look, Listen and Learn,

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Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints VGGSound: A Large-Scale Audio-Visual Dataset,

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Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints Metabolic Cost as a Unifying Principle Governing Neuronal Biophysics,

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Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints The information bottleneck method

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Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints Neural Networks, Principal Components and Subspaces,

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Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints Learning in Non-Linear Constrained Hebbian Networks,

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Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints Principal Component Analysis Learning Algorithms: A Neurobiological Anal- ysis,

Reference 35

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Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints Synaptic Scaling—An Artificial Neu- ral Network Regularization Inspired by Nature,

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Observation 408cd545-8617-4f02-b493-a4804bf54fec · outbound

This paper cites Auto-Encoding Variational Bayes.

Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints Auto-Encoding Variational Bayes

Reference 38

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Observation 83b9e5d8-7b68-45e6-b102-0edf865fd855 · outbound

This paper cites The Kinetics Human Action Video Dataset.

Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints The Kinetics Human Action Video Dataset

Reference 39

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Observation 7f05c7f3-b821-4322-a4a7-8b4f98eeebb6 · outbound

This paper cites Audio-Visual Class- Incremental Learning,.

Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints Audio-Visual Class- Incremental Learning,

Reference 40

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Observation 1024dbbd-31f2-42e4-a372-f42642ed2366 · outbound

This paper cites VideoMAE: Masked Au- toencoders Are Data-Efficient Learners for Self-Supervised Video Pre- Training,.

Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints VideoMAE: Masked Au- toencoders Are Data-Efficient Learners for Self-Supervised Video Pre- Training,

Reference 41

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source=pdf_text observed=2026-08-01T21:39:30.301468Z digest=sha256:6049c8ae6cab97e8418a169157ae7ff88fef97cd80692fdc374a8a35ef431bfe

Observation 99450f52-a1f9-4b9a-a39b-429311423e64 · outbound

This paper cites Masked Autoencoders That Listen,.

Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints Masked Autoencoders That Listen,

Reference 42

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Observation 4b07bcbf-1c0b-4c20-8a61-7a10dd89647e · outbound

This paper cites Performance-Optimized Hierarchical Models Predict Neural Responses in Higher Visual Cortex,.

Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints Performance-Optimized Hierarchical Models Predict Neural Responses in Higher Visual Cortex,

Reference 43

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Observation d028b899-6ef4-46a7-b07e-177263d5a09d · outbound

This paper cites A Task-Optimized Neural Network Replicates Human Auditory Behavior, Predicts Brain Responses and Reveals a Cortical Processing Hierarchy,.

Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints A Task-Optimized Neural Network Replicates Human Auditory Behavior, Predicts Brain Responses and Reveals a Cortical Processing Hierarchy,

Reference 44

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source=pdf_text observed=2026-08-01T21:39:30.548912Z digest=sha256:3a3fb7a3ae23756b1bc2940c39e4c79daf14d0d9427b4e28e540b86df92cf3cf

Observation 58be0a99-edaf-48e5-8149-d7063259947f · outbound

This paper cites Masked Autoencoders Are Scalable Vision Learners,.

Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints Masked Autoencoders Are Scalable Vision Learners,

Reference 45

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source=pdf_text observed=2026-08-01T21:39:30.652426Z digest=sha256:43337ac4f81f5e3679e31d3dc81e7e395a1a197c87b99d38e7ffbfa41b54f07b

Observation 148d9a40-09fd-444c-84c1-fb4d7b6713b2 · outbound

This paper cites A Hierar- chy of Temporal Receptive Windows in Human Cortex,.

Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints A Hierar- chy of Temporal Receptive Windows in Human Cortex,

Reference 46

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Observation 91a827fe-ec5d-4047-844f-d500a8f4d5f3 · outbound

This paper cites Slow Cortical Dynamics and the Accumulation of Information Over Long Timescales,.

Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints Slow Cortical Dynamics and the Accumulation of Information Over Long Timescales,

Reference 47

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source=pdf_text observed=2026-08-01T21:39:30.872663Z digest=sha256:fe86cb10581829ac78a9ef8f820323c954f4b0337ee480f9c719dc612a725695

Observation 90798d35-b89d-44e9-abb6-a067e4494637 · outbound

This paper cites Normalization as a Canonical Neural Computation,.

Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints Normalization as a Canonical Neural Computation,

Reference 48

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Observation 358d245c-3d8e-4c6c-9088-4feef53306c3 · outbound

This paper cites A Brain-Inspired Algorithm for Training Highly Sparse Neural Networks,.

Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints A Brain-Inspired Algorithm for Training Highly Sparse Neural Networks,

Reference 49

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Observation f15c63c0-31d1-4d56-bc1b-83bd3309cf2b · outbound

This paper cites Learning Sparse Neu- ral Networks ThroughL 0 Regularization,.

Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints Learning Sparse Neu- ral Networks ThroughL 0 Regularization,

Reference 50

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source=pdf_text observed=2026-08-01T21:39:31.234809Z digest=sha256:6c76162acc53bc8cb736d3455c685a05e57f8658cae7e073ab5ff4e769e1c7eb

Observation 83b4cb62-4a40-470d-bce6-b38e9963ae8f · outbound

This paper cites Pruning Neu- ral Networks Without Any Data by Iteratively Conserving Synaptic Flow,.

Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints Pruning Neu- ral Networks Without Any Data by Iteratively Conserving Synaptic Flow,

Reference 51

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source=pdf_text observed=2026-08-01T21:39:31.321057Z digest=sha256:a3c61316b41699700aee40cdb1c56e8686a3c09d1e73ff1b1da2fdf9960070c1

Observation 24fc2588-9a05-4684-ad76-0846ddec7a84 · outbound

This paper cites Sparse Networks from Scratch: Faster Training without Losing Performance.

Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints Sparse Networks from Scratch: Faster Training without Losing Performance

Reference 52

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Observation b30c0676-ea3b-473b-8305-ede7e692274d · outbound

This paper cites Rigging the Lottery: Making All Tickets Winners,.

Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints Rigging the Lottery: Making All Tickets Winners,

Reference 53

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source=pdf_text observed=2026-08-01T21:39:31.667891Z digest=sha256:7f3e554aae83fb604597dfd589db6125abdb6507d7cfe8778f2e3f3ed383bec4

Observation 916a16cf-d0ac-4ecc-bc1b-1bbbbdaf63ce · outbound

This paper cites Braitenberg and A.

Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints Braitenberg and A

Reference 54

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source=pdf_text observed=2026-08-01T21:39:31.832056Z digest=sha256:72498204fa9fb496d82822c985a88f34e5b469987de3e6f18a8bed7263e1afbf

Observation 0442f527-0927-4009-8c46-8c983ff7d182 · outbound

This paper cites Synaptic Pruning in Devel- opment: A Computational Account,.

Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints Synaptic Pruning in Devel- opment: A Computational Account,

Reference 55

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation eac31a51-b129-4fe2-a696-e3c83be4037d · outbound

This paper cites Activation Learning by Local Competitions.

Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints Activation Learning by Local Competitions

Reference 56

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Observation 31ab66e6-bbdb-498f-b3ac-e8a97feb1c51 · outbound

This paper cites A Simplified Neuron Model as a Principal Component Analyzer,.

Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints A Simplified Neuron Model as a Principal Component Analyzer,

Reference 57

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Observation fc84a64e-d1e7-48be-a335-8cd8f5e5244b · outbound

This paper cites TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems.

Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems

Reference 58

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Observation 93c1fbd8-6813-41dc-9cb0-9f3cc6c494cf · outbound

This paper cites Adam: A Method for Stochastic Optimiza- tion,.

Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints Adam: A Method for Stochastic Optimiza- tion,

Reference 59

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source=pdf_text observed=2026-08-01T21:39:32.297542Z digest=sha256:cd1314cb65930a9b95458f934925450ab45042a21b2e49eac29f552b089a08b9

Observation 80883c96-304f-4cae-980f-96e7effdbb9f · outbound

This paper cites Individual Comparisons by Ranking Methods,.

Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints Individual Comparisons by Ranking Methods,

Reference 60

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source=pdf_text observed=2026-08-01T21:39:32.380763Z digest=sha256:a3f91101e85fab80b6c4c79855fb1b62179ae92f2063a454f6cda9ab2f7414b0

Observation c11ed4b1-ba0f-4db6-9755-d237c05582e9 · outbound

This paper cites A Simple Sequentially Rejective Multiple Test Procedure,.

Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints A Simple Sequentially Rejective Multiple Test Procedure,

Reference 61

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source=pdf_text observed=2026-08-01T21:39:32.465928Z digest=sha256:920f38fe3e4ab0b7535914267973db81a1de9e83a6bac5c3dadd0a8107ebd10c

Observation 5259ab67-344d-41bf-84df-00eb269d9229 · outbound

This paper cites Is Bio-Inspired Learning Better than Backprop? Benchmarking Bio Learning vs. Backprop.

Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints Is Bio-Inspired Learning Better than Backprop? Benchmarking Bio Learning vs. Backprop

Reference 62

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source=pdf_text observed=2026-08-01T21:39:32.555328Z digest=sha256:12fc7a728713bc4b371f71384c31ec23cbcede304f9d42e3cfab085e05f23790

Observation fe5cca8f-fd35-44ad-86dc-4a8db64f49f7 · outbound

This paper cites Unsupervised Repre- sentation Learning with Hebbian Synaptic and Structural Plasticity in Brain-Like Feedforward Neural Networks,.

Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints Unsupervised Repre- sentation Learning with Hebbian Synaptic and Structural Plasticity in Brain-Like Feedforward Neural Networks,

Reference 63

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source=pdf_text observed=2026-08-01T21:39:32.636210Z digest=sha256:ec4d4193496ef406a9beb4693009b1f3077f7e6df55e44cdf17d93ba8cf22fbc

Observation 10a58577-b727-4f21-aac0-0e2b65ec209a · outbound

This paper cites Supervised Hebbian learning in Deep Counterstream Associative Networks.

Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints Supervised Hebbian learning in Deep Counterstream Associative Networks

Reference 64

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Observation c103d05f-9353-4b11-b0f4-1d30a1c9e95d · outbound

This paper cites Accelerating the Training of Feedforward Neural Networks Using Generalized Hebbian Rules for Initializing the Internal Representations,.

Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints Accelerating the Training of Feedforward Neural Networks Using Generalized Hebbian Rules for Initializing the Internal Representations,

Reference 65

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source=pdf_text observed=2026-08-01T21:39:32.807885Z digest=sha256:63ff8b81ded89583ea7e80837e671e5ae8eef5da8e5fdccc6d986a5e6273cf87

Observation 31dd228f-020d-4fae-9c9d-4353a14b1132 · outbound

This paper cites Oja's plasticity rule overcomes several challenges of training neural networks under biological constraints.

Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints Oja's plasticity rule overcomes several challenges of training neural networks under biological constraints

Reference 66

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-01T21:39:32.889491Z digest=sha256:f328861bb8b96b90217783f41cd7b3cb695ebbb9b62c16827f0412b1435c65b1

Observation b327e943-f78c-475e-b489-a6d648614ab7 · outbound

This paper cites Scalable Bio-Inspired Training of Deep Neural Networks with Fas- tHebb,.

Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints Scalable Bio-Inspired Training of Deep Neural Networks with Fas- tHebb,

Reference 67

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Observation 30da50c5-1f82-4fb3-96b6-7477529ef91b · outbound

This paper cites Unsupervised Learning by Competing Hidden Units,.

Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints Unsupervised Learning by Competing Hidden Units,

Reference 68

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Observation 1f1657cb-c2b6-40e0-bce9-3f0e66ec3e12 · outbound

This paper cites A Simple Frame- work for Contrastive Learning of Visual Representations,.

Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints A Simple Frame- work for Contrastive Learning of Visual Representations,

Reference 69

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source=pdf_text observed=2026-08-01T21:39:33.174436Z digest=sha256:891d63c62e7c1dfce5b65c3ac744a05f4b1faf503eee485b32581e5d7a0ced31

Observation dcf1cf99-e8b9-44b0-8438-ba08fc9b1c2a · outbound

This paper cites Momentum Contrast for Unsupervised Visual Representation Learning,.

Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints Momentum Contrast for Unsupervised Visual Representation Learning,

Reference 70

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Observation 63d797d9-f634-431f-8e2c-0306541eb65e · outbound

This paper cites MaskCLIP: Masked Self-Distillation Advances Contrastive Language-Image Pretraining,.

Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints MaskCLIP: Masked Self-Distillation Advances Contrastive Language-Image Pretraining,

Reference 71

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source=pdf_text observed=2026-08-01T21:39:33.479106Z digest=sha256:4fdc938c372e5d25fd83b745086c5ea4d6fc15bbd803841398e06d262ad89539

Observation 22de171a-b1e8-4d61-98f9-4d0922741491 · outbound

This paper cites Self-Distilled Self-Supervised Representation Learning,.

Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints Self-Distilled Self-Supervised Representation Learning,

Reference 72

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source=pdf_text observed=2026-08-01T21:39:33.628809Z digest=sha256:a02378ec5f5bd5e66420f861132cbb12266df00bb294312634d3f3765a6f74b7

Observation 7952399b-fa82-4fc9-8740-1ca72e20aa65 · outbound

This paper cites Synaptic Energy Use and Supply,.

Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints Synaptic Energy Use and Supply,

Reference 73

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Observation b1d3f3b8-c052-409b-9798-0c7b2f527184 · outbound

This paper cites Difference Target Propagation,.

Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints Difference Target Propagation,

Reference 74

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 11ba75cb-47e6-4480-839c-2a6465cd1fb0 · outbound

This paper cites Direct Feedback Alignment Provides Learning in Deep Neural Networks.

Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints Direct Feedback Alignment Provides Learning in Deep Neural Networks

Reference 75

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Observation d839aefa-cf02-4bb8-b8b3-e62bdfa9e6ea · outbound

This paper cites Size and Depth of Mono- tone Neural Networks: Interpolation and Approximation,.

Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints Size and Depth of Mono- tone Neural Networks: Interpolation and Approximation,

Reference 76

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Observation 8077523e-7fc7-4eb3-9072-8a653909f3e6 · outbound

This paper cites Certified Monotonic Neural Networks,.

Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints Certified Monotonic Neural Networks,

Reference 77

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source=pdf_text observed=2026-08-01T21:39:34.437461Z digest=sha256:4b88f97c322ba83d91f90dd6e1e3cbb22e2cb440d31f987b8103b330def42e4b

Observation 166c4b11-b7ff-4e2a-8ec8-b6c8293c64ea · outbound

This paper cites Un- derstanding Encoder-Decoder Structures in Machine Learning Using Information Measures,.

Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints Un- derstanding Encoder-Decoder Structures in Machine Learning Using Information Measures,

Reference 78

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source=pdf_text observed=2026-08-01T21:39:34.560785Z digest=sha256:c505ec12e73015f8f1b1ce0712affad42aaab860f4c5b749c0c4e69413c08b68

Observation ab553393-facc-496d-9759-950d26ae3a47 · outbound

This paper cites Information Dropout: Learning Optimal Representations Through Noisy Computation,.

Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints Information Dropout: Learning Optimal Representations Through Noisy Computation,

Reference 79

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Observation e2dbe048-5fb3-486e-a86f-586231634048 · outbound

This paper cites Learning Understandable Neu- ral Networks With Nonnegative Weight Constraints,.

Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints Learning Understandable Neu- ral Networks With Nonnegative Weight Constraints,

Reference 80

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source=pdf_text observed=2026-08-01T21:39:34.862534Z digest=sha256:190813c1c4d26849c9f8b96a2f4a3774b9377391b010b0a7dae82ba607e800b9

Observation 218bf8ac-ecd9-451a-b239-b93156404c20 · outbound

This paper cites Optimal Unsupervised Learning in a Single-Layer Lin- ear Feedforward Neural Network,.

Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints Optimal Unsupervised Learning in a Single-Layer Lin- ear Feedforward Neural Network,

Reference 81

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Observation b1dbbe60-15a2-4910-bf66-6e689c71fb1e · outbound

This paper cites Learning Without Forgetting,.

Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints Learning Without Forgetting,

Reference 82

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source=pdf_text observed=2026-08-01T21:39:35.159837Z digest=sha256:a3050c7f24f91755315caf36c5fc82937a0c6c6de9bf7de72466ca0cdb741ba9

Observation 14e78d7b-6b2b-442d-a0c8-4dd5caa68c95 · outbound

This paper cites iCaRL: Incremental Classifier and Representation Learning,.

Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints iCaRL: Incremental Classifier and Representation Learning,

Reference 83

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source=pdf_text observed=2026-08-01T21:39:35.324120Z digest=sha256:3a6512fcb9f867c5e01aef5c8fe199b324fe52f8d69a2fd91d5068f76c24329b

Observation 6feaf96c-cc39-4f5f-b711-1677cde7f991 · outbound

This paper cites SS-IL: Separated Softmax for Incremental Learning,.

Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints SS-IL: Separated Softmax for Incremental Learning,

Reference 84

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source=pdf_text observed=2026-08-01T21:39:35.450268Z digest=sha256:add5bd55e20b99a4b4899e143dd1e67eef68ef027356f65ddcd2d1eb0d091298

Observation b864e467-7c58-4853-84e5-39a88b606641 · outbound

This paper cites Class-Incremental Learning by Knowl- edge Distillation With Adaptive Feature Consolidation,.

Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints Class-Incremental Learning by Knowl- edge Distillation With Adaptive Feature Consolidation,

Reference 85

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source=pdf_text observed=2026-08-01T21:39:35.581032Z digest=sha256:6c434b74b002d1b6462b0e36eec7a61b279cee85cf6002e7266369126f20165a

Observation c7c05bca-4eea-4324-bd8d-4fe2eb0f6aa4 · outbound

This paper cites Large-Scale Contrastive Language- Audio Pretraining With Feature Fusion and Keyword-to-Caption Aug- mentation,.

Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints Large-Scale Contrastive Language- Audio Pretraining With Feature Fusion and Keyword-to-Caption Aug- mentation,

Reference 86

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source=pdf_text observed=2026-08-01T21:39:35.668255Z digest=sha256:c88353fb5066cb1e3383a91382a2973ee0896bbb4dd9bf9b195f752adad1b88b

Observation 80a0f82f-8bf3-4d48-b8f8-8a444b606fb7 · outbound

This paper cites Memory Allocation: Mechanisms and Function,.

Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints Memory Allocation: Mechanisms and Function,

Reference 87

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Observation 21071289-77d1-4955-931a-9eee5d9a01b8 · outbound

This paper cites Neuronal Com- petition: Microcircuit Mechanisms Define the Sparsity of the En- gram,.

Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints Neuronal Com- petition: Microcircuit Mechanisms Define the Sparsity of the En- gram,

Reference 88

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source=pdf_text observed=2026-08-01T21:39:35.897552Z digest=sha256:f82d38a8b91a8c9df1ad7881b26c9ef0f316bb28f6faf7fabf05b639776fb847

Observation 552ba8be-dc47-4c12-8491-cc06cc1cc01d · outbound

This paper cites Local Dendritic Balance Enables Learning of Efficient Representations in Networks of Spiking Neurons,.

Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints Local Dendritic Balance Enables Learning of Efficient Representations in Networks of Spiking Neurons,

Reference 89

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source=pdf_text observed=2026-08-01T21:39:36.021449Z digest=sha256:27fc8865319295708d6060c442fc42dab2720934aa742933537ee5940de9f826

Observation 57ec1a92-73eb-495b-bc3f-602eaea7cb43 · outbound

This paper cites Learning to Represent Signals Spike by Spike,.

Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints Learning to Represent Signals Spike by Spike,

Reference 90

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Observation ca93f51a-cd4e-4798-bbc1-627df8cb2887 · outbound

This paper cites Fermions and baryons as open-string states from brane junctions.

Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints Fermions and baryons as open-string states from brane junctions

Reference 91

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Observation 61bf2740-4403-4c31-88a1-9094af9bae24 · outbound

This paper cites A General Framework for Interpretable Neural Learning Based on Local Information-Theoretic Goal Functions,.

Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints A General Framework for Interpretable Neural Learning Based on Local Information-Theoretic Goal Functions,

Reference 92

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Observation 6565b434-26bb-40e8-8b6b-9606daa98b79 · outbound

This paper cites Tits type alternative for groups acting on toric affine varieties.

Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints Tits type alternative for groups acting on toric affine varieties

Reference 93

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Observation 34d978bb-dc6c-4657-a119-1aea840b40e1 · outbound

This paper cites CrowdEst: A Method for Estimating (and not Simulating) Crowd Evacuation Parameters in Generic Environments.

Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints CrowdEst: A Method for Estimating (and not Simulating) Crowd Evacuation Parameters in Generic Environments

Reference 94

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Observation 0a942e8c-3c89-4981-9f14-6275c8b34c2c · outbound

This paper cites Synaptic Tagging and Long-Term Potentiation,.

Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints Synaptic Tagging and Long-Term Potentiation,

Reference 95

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Observation a6805096-1c94-4553-986f-95a4bf83b146 · outbound

This paper cites Making Memories Last: The Synaptic Tagging and Capture Hypothesis,.

Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints Making Memories Last: The Synaptic Tagging and Capture Hypothesis,

Reference 96

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source=pdf_text observed=2026-08-01T21:39:36.628341Z digest=sha256:9f4118f5296e73ab7369c497139bfdc2e62db9d7cdc99eb038f9881567ba6388

Observation 784eed0c-a609-45e3-95e6-3a9ce81f72a2 · outbound

This paper cites Distributed Hierarchical Pro- cessing in the Primate Cerebral Cortex,.

Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints Distributed Hierarchical Pro- cessing in the Primate Cerebral Cortex,

Reference 97

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source=pdf_text observed=2026-08-01T21:39:36.690820Z digest=sha256:4817b561251d62a2074f724a3de4538210583ed5fe0f5d59ba06252d8cdaa8f0

Observation 4a6d0f12-b1e4-4c92-b218-7abec2d725fe · outbound

This paper cites NM-Hebb: Coupling Local Hebbian Plasticity with Metric Learning for More Accurate and Interpretable CNNs.

Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints NM-Hebb: Coupling Local Hebbian Plasticity with Metric Learning for More Accurate and Interpretable CNNs

Reference 98

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source=pdf_text observed=2026-08-01T21:39:36.742985Z digest=sha256:4c8c477b891a0edf7647bafa5ebed6ff5dcd68988c7e0a29174f31ae78a5fb69

Observation 0f2f2c42-446d-41c1-bb34-4481b9365c63 · outbound

This paper cites Hebbian learning with gradients: Hebbian convolutional neural networks with modern deep learning frameworks.

Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints Hebbian learning with gradients: Hebbian convolutional neural networks with modern deep learning frameworks

Reference 99

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source=pdf_text observed=2026-08-01T21:39:36.830873Z digest=sha256:b0a4bb086021d4fc64c359dafd4d4ef92c9b3b68285982996eaa53f44589bf19

Observation e9b3f0c0-eb0d-450f-b858-ab23528a66f2 · outbound

This paper cites Hebbian Deep Learning Without Feedback,.

Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints Hebbian Deep Learning Without Feedback,

Reference 100

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source=pdf_text observed=2026-08-01T21:39:36.905182Z digest=sha256:f4a248b7578f45587ad8bda6598b30ef940c5b2f4a8df7fac36cfa5052f64105

Observation 3507dfbd-9280-4ed6-9fe5-d9f6cecc4e56 · outbound

This paper cites Towards Biologically Plausible Convolutional Networks,.

Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints Towards Biologically Plausible Convolutional Networks,

Reference 101

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