Associative memory inspires improvements for in-context learning using a novel attention residual stream architecture | Paper Citation Record

Observation 7c3e0fea-1187-4f61-89f6-b2541893ef47 · outbound

This paper cites Learning patterns and pattern sequences by self-organizing nets of threshold elements.

Associative memory inspires improvements for in-context learning using a novel attention residual stream architecture Learning patterns and pattern sequences by self-organizing nets of threshold elements

Reference 1

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This paper cites Modeling brain function: The world of attractor neural networks.

Associative memory inspires improvements for in-context learning using a novel attention residual stream architecture Modeling brain function: The world of attractor neural networks

Reference 2

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This paper cites Attractor neural networks and biological reality: associative memory and learning.

Associative memory inspires improvements for in-context learning using a novel attention residual stream architecture Attractor neural networks and biological reality: associative memory and learning

Reference 3

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This paper cites Cognitive maps and novel inferences: a flexibility hierarchy.

Associative memory inspires improvements for in-context learning using a novel attention residual stream architecture Cognitive maps and novel inferences: a flexibility hierarchy

Reference 4

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This paper cites Attention approximates sparse distributed memory.

Associative memory inspires improvements for in-context learning using a novel attention residual stream architecture Attention approximates sparse distributed memory

Reference 5

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This paper cites Language models are few-shot learners.

Associative memory inspires improvements for in-context learning using a novel attention residual stream architecture Language models are few-shot learners

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This paper cites Semantically-correlated memories in a dense associative model.

Associative memory inspires improvements for in-context learning using a novel attention residual stream architecture Semantically-correlated memories in a dense associative model

Reference 7

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This paper cites Simplicial hopfield networks.

Associative memory inspires improvements for in-context learning using a novel attention residual stream architecture Simplicial hopfield networks

Reference 8

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This paper cites Multiscale and extended retrieval of associative memory structures in a cortical model of local-global inhibition balance.

Associative memory inspires improvements for in-context learning using a novel attention residual stream architecture Multiscale and extended retrieval of associative memory structures in a cortical model of local-global inhibition balance

Reference 9

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This paper cites Neural syntax: Cell assemblies, synapsembles, and readers.

Associative memory inspires improvements for in-context learning using a novel attention residual stream architecture Neural syntax: Cell assemblies, synapsembles, and readers

Reference 10

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This paper cites Trade-off between multiple constraints enables simultaneous formation of modules and hubs in neural systems.

Associative memory inspires improvements for in-context learning using a novel attention residual stream architecture Trade-off between multiple constraints enables simultaneous formation of modules and hubs in neural systems

Reference 11

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This paper cites A memory-based theory of emotional disorders.

Associative memory inspires improvements for in-context learning using a novel attention residual stream architecture A memory-based theory of emotional disorders

Reference 12

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Observation 7a9dcc42-546b-406e-aecc-1c4b770b5041 · outbound

This paper cites Hypothalamic and other connections with dorsal ca2 area of the mouse hippocampus.

Associative memory inspires improvements for in-context learning using a novel attention residual stream architecture Hypothalamic and other connections with dorsal ca2 area of the mouse hippocampus

Reference 13

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This paper cites Resvit: residual vision transformers for multimodal medical image synthesis.

Associative memory inspires improvements for in-context learning using a novel attention residual stream architecture Resvit: residual vision transformers for multimodal medical image synthesis

Reference 14

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This paper cites Exploring the Relationship between In-Context Learning and Instruction Tuning.

Associative memory inspires improvements for in-context learning using a novel attention residual stream architecture Exploring the Relationship between In-Context Learning and Instruction Tuning

Reference 15

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This paper cites Rediscovering area ca2: unique properties and functions.

Associative memory inspires improvements for in-context learning using a novel attention residual stream architecture Rediscovering area ca2: unique properties and functions

Reference 16

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This paper cites TinyStories: How Small Can Language Models Be and Still Speak Coherent English?.

Associative memory inspires improvements for in-context learning using a novel attention residual stream architecture TinyStories: How Small Can Language Models Be and Still Speak Coherent English?

Reference 17

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This paper cites A mathematical framework for transformer circuits.

Associative memory inspires improvements for in-context learning using a novel attention residual stream architecture A mathematical framework for transformer circuits

Reference 18

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This paper cites The successor representation and temporal context.

Associative memory inspires improvements for in-context learning using a novel attention residual stream architecture The successor representation and temporal context

Reference 19

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Associative memory inspires improvements for in-context learning using a novel attention residual stream architecture Unresolved cited work

Reference 20

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This paper cites The organization of behavior: A neuropsychological theory.

Associative memory inspires improvements for in-context learning using a novel attention residual stream architecture The organization of behavior: A neuropsychological theory

Reference 21

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This paper cites Linearity of relation decoding in transformer language models.

Associative memory inspires improvements for in-context learning using a novel attention residual stream architecture Linearity of relation decoding in transformer language models

Reference 22

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Associative memory inspires improvements for in-context learning using a novel attention residual stream architecture Neural networks and physical systems with emergent collective computational abilities

Reference 23

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This paper cites The temporal context model in spatial navigation and relational learning: toward a common explanation of medial temporal lobe function across domains.

Associative memory inspires improvements for in-context learning using a novel attention residual stream architecture The temporal context model in spatial navigation and relational learning: toward a common explanation of medial temporal lobe function across domains

Reference 24

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This paper cites Scalelong: Towards more stable training of diffusion model via scaling network long skip connection.

Associative memory inspires improvements for in-context learning using a novel attention residual stream architecture Scalelong: Towards more stable training of diffusion model via scaling network long skip connection

Reference 25

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This paper cites Gamma-models: Generative temporal difference learning for infinite-horizon prediction.

Associative memory inspires improvements for in-context learning using a novel attention residual stream architecture Gamma-models: Generative temporal difference learning for infinite-horizon prediction

Reference 26

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This paper cites Linking In-context Learning in Transformers to Human Episodic Memory.

Associative memory inspires improvements for in-context learning using a novel attention residual stream architecture Linking In-context Learning in Transformers to Human Episodic Memory

Reference 27

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This paper cites Do LLMs dream of elephants (when told not to)? Latent concept association and associative memory in transformers.

Associative memory inspires improvements for in-context learning using a novel attention residual stream architecture Do LLMs dream of elephants (when told not to)? Latent concept association and associative memory in transformers

Reference 28

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This paper cites The perceiver architecture is a functional global workspace.

Associative memory inspires improvements for in-context learning using a novel attention residual stream architecture The perceiver architecture is a functional global workspace

Reference 29

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This paper cites Nonoptimal component placement, but short processing paths, due to long-distance projections in neural systems.

Associative memory inspires improvements for in-context learning using a novel attention residual stream architecture Nonoptimal component placement, but short processing paths, due to long-distance projections in neural systems

Reference 30

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This paper cites Attractor and integrator networks in the brain.

Associative memory inspires improvements for in-context learning using a novel attention residual stream architecture Attractor and integrator networks in the brain

Reference 31

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This paper cites Kastanenka, and Dmitry Krotov.

Associative memory inspires improvements for in-context learning using a novel attention residual stream architecture Kastanenka, and Dmitry Krotov

Reference 32

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This paper cites Learning to learn: Single session acquisition of new rules by freely moving mice.

Associative memory inspires improvements for in-context learning using a novel attention residual stream architecture Learning to learn: Single session acquisition of new rules by freely moving mice

Reference 33

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This paper cites Transformers as algorithms: Generalization and stability in in-context learning.

Associative memory inspires improvements for in-context learning using a novel attention residual stream architecture Transformers as algorithms: Generalization and stability in in-context learning

Reference 34

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This paper cites The existence of persistent states in the brain.

Associative memory inspires improvements for in-context learning using a novel attention residual stream architecture The existence of persistent states in the brain

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This paper cites Expanding the scope of memory search: Modeling intralist and interlist effects in free recall.

Associative memory inspires improvements for in-context learning using a novel attention residual stream architecture Expanding the scope of memory search: Modeling intralist and interlist effects in free recall

Reference 36

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This paper cites Analysis of the activity of the chains of internuncial neurons.

Associative memory inspires improvements for in-context learning using a novel attention residual stream architecture Analysis of the activity of the chains of internuncial neurons

Reference 37

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This paper cites Language Conditioned Imitation Learning over Unstructured Data.

Associative memory inspires improvements for in-context learning using a novel attention residual stream architecture Language Conditioned Imitation Learning over Unstructured Data

Reference 38

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This paper cites Emergence of abstract rules in the primate brain.

Associative memory inspires improvements for in-context learning using a novel attention residual stream architecture Emergence of abstract rules in the primate brain

Reference 39

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This paper cites A logical calculus of the ideas immanent in nervous activity.

Associative memory inspires improvements for in-context learning using a novel attention residual stream architecture A logical calculus of the ideas immanent in nervous activity

Reference 40

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This paper cites Distributed Representations of Words and Phrases and their Compositionality.

Associative memory inspires improvements for in-context learning using a novel attention residual stream architecture Distributed Representations of Words and Phrases and their Compositionality

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This paper cites An integrative theory of prefrontal cortex function.

Associative memory inspires improvements for in-context learning using a novel attention residual stream architecture An integrative theory of prefrontal cortex function

Reference 42

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This paper cites Universal hopfield networks: A general framework for single-shot associative memory models.

Associative memory inspires improvements for in-context learning using a novel attention residual stream architecture Universal hopfield networks: A general framework for single-shot associative memory models

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:40:56.276829Z

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This paper cites Large Language Models as General Pattern Machines.

Associative memory inspires improvements for in-context learning using a novel attention residual stream architecture Large Language Models as General Pattern Machines

Reference 44

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Associative memory inspires improvements for in-context learning using a novel attention residual stream architecture Associatron-a model of associative memory

Reference 45

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This paper cites In-context learning and induction heads.

Associative memory inspires improvements for in-context learning using a novel attention residual stream architecture In-context learning and induction heads

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This paper cites a fl, Johannes Lehner, Philipp Seidl, Michael Widrich, Lukas Gruber, Markus Holzleitner, Thomas Adler, David Kreil, Michael K Kopp, G \.

Associative memory inspires improvements for in-context learning using a novel attention residual stream architecture a fl, Johannes Lehner, Philipp Seidl, Michael Widrich, Lukas Gruber, Markus Holzleitner, Thomas Adler, David Kreil, Michael K Kopp, G \

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:40:56.257747Z

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Observation cec6af36-f42c-4d2d-9ea0-a8678da25f38 · outbound

This paper cites Prefrontal cortex and episodic memory: Integrating findings from neuropsychology and functional brain imaging.

Associative memory inspires improvements for in-context learning using a novel attention residual stream architecture Prefrontal cortex and episodic memory: Integrating findings from neuropsychology and functional brain imaging

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:40:56.244842Z

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Observation 6962914a-a57e-4916-9917-b8b2debadf1d · outbound

This paper cites The mechanistic basis of data dependence and abrupt learning in an in-context classification task.

Associative memory inspires improvements for in-context learning using a novel attention residual stream architecture The mechanistic basis of data dependence and abrupt learning in an in-context classification task

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Observation 05b44618-3eb7-4378-a8d5-468ae6d6ca30 · outbound

This paper cites Hippocampal area ca2: properties and contribution to hippocampal function.

Associative memory inspires improvements for in-context learning using a novel attention residual stream architecture Hippocampal area ca2: properties and contribution to hippocampal function

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:40:56.223808Z

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This paper cites Mice in a labyrinth show rapid learning, sudden insight, and efficient exploration.

Associative memory inspires improvements for in-context learning using a novel attention residual stream architecture Mice in a labyrinth show rapid learning, sudden insight, and efficient exploration

Reference 51

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This paper cites Principles of neurodynamics: Perceptrons and the theory of brain mechanisms, 1961.

Associative memory inspires improvements for in-context learning using a novel attention residual stream architecture Principles of neurodynamics: Perceptrons and the theory of brain mechanisms, 1961

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:40:56.212067Z

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Observation 056bcabd-86d5-4d0f-8d76-3642dec57393 · outbound

This paper cites Prefrontal cortex and flexible cognitive control: Rules without symbols.

Associative memory inspires improvements for in-context learning using a novel attention residual stream architecture Prefrontal cortex and flexible cognitive control: Rules without symbols

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:40:56.200624Z

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Observation 572e0123-6730-4e07-a8e5-44f1bff46791 · outbound

This paper cites Human curriculum effects emerge with in-context learning in neural networks.

Associative memory inspires improvements for in-context learning using a novel attention residual stream architecture Human curriculum effects emerge with in-context learning in neural networks

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:40:56.187210Z

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This paper cites Riechers, Lucas Teixeira, Alexander Gietelink Oldenziel, and Sarah Marzen.

Associative memory inspires improvements for in-context learning using a novel attention residual stream architecture Riechers, Lucas Teixeira, Alexander Gietelink Oldenziel, and Sarah Marzen

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:40:56.173938Z

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Observation b2d40749-41e4-44a1-a53f-c4bab17e5410 · outbound

This paper cites Learning to predict by the methods of temporal differences.

Associative memory inspires improvements for in-context learning using a novel attention residual stream architecture Learning to predict by the methods of temporal differences

Reference 56

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Observation 5636733a-1f73-4512-bf60-6a2647b5182c · outbound

This paper cites Attention is all you need.

Associative memory inspires improvements for in-context learning using a novel attention residual stream architecture Attention is all you need

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:40:56.151950Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7139285a-aee2-4540-ad88-682fedc373d8 · outbound

This paper cites Mrsic-Flogel.

Associative memory inspires improvements for in-context learning using a novel attention residual stream architecture Mrsic-Flogel

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-11T11:40:55.490215Z

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Observation 08caea2e-026c-4b66-9ae5-9906de20561b · outbound

This paper cites Transformers learn in-context by gradient descent.

Associative memory inspires improvements for in-context learning using a novel attention residual stream architecture Transformers learn in-context by gradient descent

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-11T11:40:55.494501Z

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Observation 824518ce-b991-4017-a0c1-92f3d398b86c · outbound

This paper cites Interpretability in the wild: a circuit for indirect object identification in GPT -2 small.

Associative memory inspires improvements for in-context learning using a novel attention residual stream architecture Interpretability in the wild: a circuit for indirect object identification in GPT -2 small

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-11T11:40:55.498983Z

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Observation 370acae6-ea31-4ebe-aa8c-36b9488e9152 · outbound

This paper cites Nonparametric classification on low dimensional manifolds using overparameterized convolutional residual networks.

Associative memory inspires improvements for in-context learning using a novel attention residual stream architecture Nonparametric classification on low dimensional manifolds using overparameterized convolutional residual networks

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:40:56.124727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c415909b-a42b-4cd0-bfcc-8a2d95272a96 · outbound

This paper cites In-context exemplars as clues to retrieving from large associative memory.

Associative memory inspires improvements for in-context learning using a novel attention residual stream architecture In-context exemplars as clues to retrieving from large associative memory

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:40:56.112108Z

Source-reported events for the cited work

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Observation 6e9e8faa-67d3-41df-b196-24e15db4bbe3 · outbound

This paper cites Episodic retrieval for model-based evaluation in sequential decision tasks, 2023.

Associative memory inspires improvements for in-context learning using a novel attention residual stream architecture Episodic retrieval for model-based evaluation in sequential decision tasks, 2023

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:40:56.099642Z

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Observation 28832db2-3f15-498a-80b6-edd2783ae3ac · outbound

This paper cites write newline.

Associative memory inspires improvements for in-context learning using a novel attention residual stream architecture write newline

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-11T11:40:55.517008Z

Source-reported events for the cited work

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