Papers

Welcome to the hippocampus wiki!

Here're some papers about...

1. Episodic future simulation

• Patients with hippocampal amnesia cannot imagine new experiences (Demis Hassabis et al., 2007)

• The construction system of the brain (Demis Hassabis, Eleanor A. Maguire, 2009)

• The Future of Memory: Remembering, Imagining, and the Brain (Daniel L.Schacter et al., 2012)

• Imagination-Augmented Agents for Deep Reinforcement Learning (Weber, et al., 2017)

2. Cortical-hippocampal interaction

• 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

  • The Sync/deSync model: How a synchronized hippocampus and a desynchronized neocortex code memories
    • might be a good perspective to consider cortical-hippocampus connectivity
  • Neuronal Synchrony in Complex-Valued Deep Networks
    • complex-valued units represent both firing rate + phase (controls synchronicity)

• Interplay of Hippocampus and Prefrontal Cortex in Memory

3. 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

4. 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)

5. Other stuff

• 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.
• 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"?
• Catastrophic Interference
  • Overcoming catastrophic forgetting in neural networks
  • Catastrophic Interference in Connectionist Networks: The Sequential Learning Problem
  • Overcoming Catastrophic Interference in Connectionist Networks Using Gram-Schmidt Orthogonalization

6. 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

7. Some models

• A computational model of episodic memory formation in the hippocampal system

• Computational models of the hippocampal region: linking incremental learning and episodic memory

  • Implications for Prediction of Risk for Alzheimer’s Disease in Non-demented Elderly

• A computational model for preplay in the hippocampus

• Computational modeling and analysis of hippocampal-prefrontal information coding during a spatial decision-making task