title: Computational principles of memory.
abstract: The ability to store and later use information is essential for a variety of adaptive behaviors, including integration, learning, generalization, prediction and inference. In this Review, we survey theoretical principles that can allow the brain to construct persistent states for memory. We identify requirements that a memory system must satisfy and analyze existing models and hypothesized biological substrates in light of these requirements. We also highlight open questions, theoretical puzzles and problems shared with computer science and information theory.
authors.affiliation: Center for Learning and Memory and Department of Neuroscience, The University of Texas at Austin, Austin, Texas, USA.
authors.forename: Rishidev
authors.initials: R
authors.lastname: Chaudhuri
authors.affiliation: Center for Learning and Memory and Department of Neuroscience, The University of Texas at Austin, Austin, Texas, USA.
authors.forename: Ila
authors.initials: I
authors.lastname: Fiete
mesh_terms: D003198:Computer Simulation; D006801:Humans; D007257:Information Theory; D008568:Memory / Q000502:physiology*; D008959:Models, Neurological