Data augmentation as a framework for modeling hippocampal contributions to generalization | Paper Citation Record

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Data augmentation as a framework for modeling hippocampal contributions to generalization A cortical–hippocampal system for declarative memory.Nature Reviews Neuroscience, 1(1):41–50, 2000

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Data augmentation as a framework for modeling hippocampal contributions to generalization Medial temporal lobe amnesia: Gradual acquisition of factual information by nondeclarative memory.Journal of Neuroscience, 22(13):5741–5748, 2002

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Data augmentation as a framework for modeling hippocampal contributions to generalization Hippocampal replay is not a simple function of experience.Neuron, 65(5):695–705, 2010

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Data augmentation as a framework for modeling hippocampal contributions to generalization Hippocampal place cells construct reward related sequences through unexplored space.Elife, 4:e06063, 2015

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Data augmentation as a framework for modeling hippocampal contributions to generalization The hippocampus as a spatial map: Preliminary evidence from unit activity in the freely-moving rat.Brain Research, 34(1):171–175, 1971

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Data augmentation as a framework for modeling hippocampal contributions to generalization Time cells in the hippocampus: a new dimension for mapping memories

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Data augmentation as a framework for modeling hippocampal contributions to generalization Cognitive maps in rats and men.Psychological Review, 55(4):189–208, 1948

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Data augmentation as a framework for modeling hippocampal contributions to generalization Oxford University Press, 1978

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Data augmentation as a framework for modeling hippocampal contributions to generalization Simple memory: a theory for archicortex.Philosophical Transactions of the Royal Society of London B, 262(841):23–81, 1971

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Data augmentation as a framework for modeling hippocampal contributions to generalization Computational analysis of the role of the hippocampus in memory.Hippocampus, 4(3):374–391, 1994

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Data augmentation as a framework for modeling hippocampal contributions to generalization Unresolved cited work

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Data augmentation as a framework for modeling hippocampal contributions to generalization The hippocampus as a predictive map.Nature neuroscience, 20(11):1643–1653, 2017

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Data augmentation as a framework for modeling hippocampal contributions to generalization The successor representation in human reinforcement learning

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Data augmentation as a framework for modeling hippocampal contributions to generalization The brain hierarchically rep- resents the past and future during multistep anticipation.Nature Communications, 15(1):9094, 2024

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Data augmentation as a framework for modeling hippocampal contributions to generalization The hippocampus and inferential reasoning: Building memories to navigate future decisions.Frontiers in Human Neuroscience, 6:70, 2012

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Data augmentation as a framework for modeling hippocampal contributions to generalization The tolman-eichenbaum machine: unifying space and relational memory through generalization in the hippocampal formation.Cell, 183(5):1249– 1263, 2020

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Data augmentation as a framework for modeling hippocampal contributions to generalization What is a cognitive map? organizing knowledge for flexible behavior.Neuron, 100(2):490–509, 2018

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Data augmentation as a framework for modeling hippocampal contributions to generalization Semantic search as pattern completion across a concept

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Data augmentation as a framework for modeling hippocampal contributions to generalization A survey on image data augmentation for deep learning.Journal of Big Data, 6(1):1–48, 2019

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Data augmentation as a framework for modeling hippocampal contributions to generalization Generalization through the recurrent interaction of episodic memories: a model of the hippocampal system.Psychological review, 119(3):573, 2012

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Data augmentation as a framework for modeling hippocampal contributions to generalization A unifying account of replay as context-driven memory reactivation.eLife, 13:RP99931, 2026

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Data augmentation as a framework for modeling hippocampal contributions to generalization Adaptive compression as a unifying framework for episodic and semantic memory.Nature Reviews Psychology, pages 1–15, 2025

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Data augmentation as a framework for modeling hippocampal contributions to generalization Dinov2: Learning robust visual features without supervision.Transactions on Machine Learning Research, 2024

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Data augmentation as a framework for modeling hippocampal contributions to generalization VGGT: Visual geometry grounded transformer

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Data augmentation as a framework for modeling hippocampal contributions to generalization Learning transferable visual models from natural language supervision

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Data augmentation as a framework for modeling hippocampal contributions to generalization Getting aligned on repre- sentational alignment.Transactions on Machine Learning Research, 2025

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Data augmentation as a framework for modeling hippocampal contributions to generalization Human alignment of neural network representations

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Data augmentation as a framework for modeling hippocampal contributions to generalization Human-level 3d shape perception emerges from multi-view learning.arXiv preprint, 2024

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Data augmentation as a framework for modeling hippocampal contributions to generalization A is B” fail to learn “B is A

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Data augmentation as a framework for modeling hippocampal contributions to generalization Reverse training to nurse the reversal curse

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Data augmentation as a framework for modeling hippocampal contributions to generalization Diffusion-Inspired Masked Fine-Tuning for Knowledge Injection in Autoregressive LLMs

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Data augmentation as a framework for modeling hippocampal contributions to generalization On the generalization of language models from in-context learning and finetuning: a controlled study

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Data augmentation as a framework for modeling hippocampal contributions to generalization Deductive closure training of language models for coherence, accuracy, and updatability

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Data augmentation as a framework for modeling hippocampal contributions to generalization Syn- thetic continued pretraining

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Data augmentation as a framework for modeling hippocampal contributions to generalization New News: System-2 Fine-tuning for Robust Integration of New Knowledge.arXiv preprint arXiv:2505.01812, 2025

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Data augmentation as a framework for modeling hippocampal contributions to generalization Data-efficient pre-training by scaling synthetic megadocs.arXiv preprint arXiv:2603.18534, 2026

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Data augmentation as a framework for modeling hippocampal contributions to generalization Princeton University Press, 1954

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Data augmentation as a framework for modeling hippocampal contributions to generalization Edward Arnold, London, 1960

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Data augmentation as a framework for modeling hippocampal contributions to generalization How computational modeling can force theory building in psychological science.Perspectives on Psychological Science, 16(4):789–802, 2021

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Data augmentation as a framework for modeling hippocampal contributions to generalization Using goal-driven deep learning models to understand sensory cortex.Nature Neuroscience, 19(3):356–365, 2016

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Data augmentation as a framework for modeling hippocampal contributions to generalization When the ventral visual stream is not enough: A deep learning account of medial temporal lobe involvement in perception

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Data augmentation as a framework for modeling hippocampal contributions to generalization Latent learning: episodic memory complements parametric learning by enabling flexible reuse of experiences.Transactions on Machine Learning Research, 2026

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Data augmentation as a framework for modeling hippocampal contributions to generalization Improving latent generalization using test-time compute.3rd Conference on Language Modeling, 2026

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Data augmentation as a framework for modeling hippocampal contributions to generalization Chain-of-visual-thought: Teaching vlms to see and think better with continuous visual tokens.arXiv preprint arXiv:2511.19418, 2025

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Data augmentation as a framework for modeling hippocampal contributions to generalization Flexible weighting of diverse inputs makes hip- pocampal function malleable.Neuroscience Letters, 680:13–22, 2018

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Data augmentation as a framework for modeling hippocampal contributions to generalization Human replay spontaneously reorganizes experience.Cell, 178(3):640–652, 2019

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Data augmentation as a framework for modeling hippocampal contributions to generalization Schema representa- tions in distinct brain networks support narrative memory during encoding and retrieval.elife, 11:e70445, 2022

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Data augmentation as a framework for modeling hippocampal contributions to generalization Overlapping memory replay during sleep builds cognitive schemata.Trends in cognitive sciences, 15(8):343–351, 2011

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Data augmentation as a framework for modeling hippocampal contributions to generalization Generative replay un- derlies compositional inference in the hippocampal-prefrontal circuit.Cell, 186(22):4885–4897, 2023

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Data augmentation as a framework for modeling hippocampal contributions to generalization Human hippocampal ripples coordinate planning sequences and compositional representations in neocortex.Nature Neuroscience, pages 1–11, 2026

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Data augmentation as a framework for modeling hippocampal contributions to generalization Searching for semantic knowledge: A vector space semantic analysis of the feature generation task.Frontiers in human neuroscience, 13:341, 2019

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Data augmentation as a framework for modeling hippocampal contributions to generalization What learning systems do intelligent agents need? complementary learning systems theory updated.Trends in Cognitive Sciences, 20(7):512–534, 2016

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Data augmentation as a framework for modeling hippocampal contributions to generalization Reactivation of hippocampal ensemble memories during sleep.Science, 265(5172):676–679, 1994

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Data augmentation as a framework for modeling hippocampal contributions to generalization Reverse replay of behavioural sequences in hippocampal place cells during the awake state.Nature, 440(7084):680–683, 2006

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Data augmentation as a framework for modeling hippocampal contributions to generalization Unresolved cited work

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