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Papers
Welcome to the hippocampus wiki!
Here're some papers about...
- Episodic future simulation
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The construction system of the brain (Demis Hassabis, Eleanor A. Maguire, 2009)
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The Future of Memory: Remembering, Imagining, and the Brain (Daniel L.Schacter et al., 2012)
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Adaptive constructive processes and the future of memory(Daniel L. Schacter, 2013)
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hippocampus
- Patients with hippocampal amnesia cannot imagine new experiences (Demis Hassabis et al., 2007)
- Role of the hippocampus in imagination and future thinking (Eleanor A. Maguire and Demis Hassabis, 2011)
- The Role of the Hippocampus in Prediction and Imagination(Randy L. Buckner, 2010)
- Anterior hippocampus: the anatomy of perception, imagination and episodic memory (Zeidman & Maguire, 2015)
- Escaping the Past: Contributions of the Hippocampus to Future Thinking and Imagination (Daniel L. Schacter, Donna Rose Addis, and Karl K. Szpunar, 2017)
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DMN
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model
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Imagination-Augmented Agents for Deep Reinforcement Learning (Weber, et al., 2017)
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Generation and Consolidation of Recollections for Efficient Deep Lifelong Learning
- this is more similar to how I think about memory storage. I don't think we store indices for latent code though, I prefer a content addressable system
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Generative Models of Visually Grounded Imagination
- probably not a good neuro-cognitive model, but the computational detail might be informative...
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- Cortical-hippocampal interaction
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Accessing Real-Life Episodic Information from Minutes versus Hours Earlier Modulates Hippocampal and High-Order Cortical Dynamics (Chen et al., 2015): Hippocampus fills the "gaps" during prediction. Cortical-hippocampus connectivity correlates with ISC
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The Sync/deSync model: How a synchronized hippocampus and a desynchronized neocortex code memories
- might be a good perspective to consider cortical-hippocampus connectivity
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Neuronal Synchrony in Complex-Valued Deep Networks
- complex-valued units represent both firing rate + phase (controls synchronicity)
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The Sync/deSync model: How a synchronized hippocampus and a desynchronized neocortex code memories
- Episodic control and Schema
- Hippocampal Contributions to Control: The Third Way
- Neural Episodic Control
- Model-Free Episodic Control
- Doing Without Schema Hierarchies: A Recurrent Connectionist Approach to Normal and Impaired Routine Sequential Action
- Persistent schema-dependent hippocampal-neocortical connectivity during memory encoding and postencoding rest in humans
- Schemas and memory consolidation
- Complementary Learning Systems
- Why There Are Complementary Learning Systems in the Hippocampus and Neocortex (McClelland, et al., 1995)
- Complementary Learning Systems (O’Reilly, et al., 2014)
- What Learning Systems do Intelligent Agents Need? Complementary Learning Systems Theory Updated (Kumaran, et al., 2016)
- Complementary learning systems within the hippocampus (Schapiro, et al., 2016)
- Hippocampal and neocortical contributions to memory: advances in the CLS framework(O’Reilly and Norman, 2003)
- Modeling Hippocampal and Neocortical Contributions to Recognition Memory: A CLS Approach (Norman and O’Reilly, 2003)
- Methods for reducing interference in the CLS model: Oscillating inhibition and autonomous memory rehearsal (Norman, et al, 2005)
- How Hippocampus and Cortex Contribute to Recognition Memory: Revisiting CLS (Norman, 2010)
- Other stuff
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Reflections of the Environment in Memory (John R. Anderson, Lael J. Schooler, 1991): Recently seen items are more likely to show up in recent future. This kind of environmental statistics might impose a soft constraint to the human memory system.
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Using Fast Weights to Attend to the Recent Past
- equip an RNN with fast associative memory by doing outer product learning
- simulation 1 is an elegant version of the role-filler binding problem
- can we generalize this mechanism beyond "recent past"?
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Catastrophic Interference
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Space
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remapping
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Understanding memory through hippocampal remapping
- could be related to "schema remapping"
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Understanding memory through hippocampal remapping
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grid cell
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A map of abstract relational knowledge in the human hippocampal–entorhinal cortex
- can we view neural representations of high-level stuff as a more complicated version of location representation? is there an underlying general principle for neural representation?
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A map of abstract relational knowledge in the human hippocampal–entorhinal cortex
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attractor dynamics
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retrieval-induced forgetting model
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event perception model
- Some classic papers
- Interneurons of hippocampus
- Computational analysis of the role of hippcampus in memory
- Functional Differentiation in the Hippocampus
- Episodic and Declarative Memory:Role of the Hippocampus
- The hippocampus as a cognitive map
- Some models
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A computational model of episodic memory formation in the hippocampal system
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Computational models of the hippocampal region: linking incremental learning and episodic memory
- Some people
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- hippocampus is more strongly engaged when thinking about unlikely vs. likely counterfactual scenarios
- the role of counterfactual thinking in anxiety (i.e., anxious people entertain an unusually large number of counterfactuals, and he is trying to figure out why)
- Remembering what could have happened: Neural correlates of episodic counterfactual thinking
- Foreseeing the Future: Occurrence Probability of Imagined Future Events Modulates Hippocampal Activation