Learning algorithms articles within Nature

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  • Article |

    Using a Bayesian learning approach, a study tracks the spatial representations by individual hippocampal cells over time in freely moving rats, and provides insights into how ensemble patterns form and reconfigure during sleep.

    • Kourosh Maboudi
    • , Bapun Giri
    •  & Kamran Diba

  • Article
    | Open Access

    Analysis of data collected from mice learning a trace conditioning paradigm shows that phasic dopamine activity in the brain can regulate direct learning of behavioural policies, and dopamine sets an adaptive learning rate rather than an error-like teaching signal.

    • Luke T. Coddington
    • , Sarah E. Lindo
    •  & Joshua T. Dudman

  • Article |

    In memory consolidation, the hippocampus has a unique way to preferentially amplify behaviour-relevant information that entails ‘replaying’ this information during periods of rest.

    • Satoshi Terada
    • , Tristan Geiller
    •  & Attila Losonczy

  • Article |

    Analyses of single-cell recordings from mouse ventral tegmental area are consistent with a model of reinforcement learning in which the brain represents possible future rewards not as a single mean of stochastic outcomes, as in the canonical model, but instead as a probability distribution.

    • Will Dabney
    • , Zeb Kurth-Nelson
    •  & Matthew Botvinick

  • Article |

    A new method for analysing change in high-dimensional data is based on nearest-neighbour statistics and is applied here to song dynamics during vocal learning in zebra finches, but could potentially be applied to other biological and artificial behaviours.

    • Sepp Kollmorgen
    • , Richard H. R. Hahnloser
    •  & Valerio Mante

  • Article |

    Use of a head-mounted miniature microscope in awake, behaving mice reveals that neural ensembles in the basal and lateral amygdala encode associations between conditioned and unconditioned stimuli in a way that matches models of supervised learning.

    • Benjamin F. Grewe
    • , Jan Gründemann
    •  & Mark J. Schnitzer

  • Article |

    Neural sequences recorded from the vocal premotor area HVC in juvenile birds learning song ‘syllables’ show ‘prototype’ syllables forming early, with multiple new highly divergent neural sequences emerging from this precursor syllable as learning progresses.

    • Tatsuo S. Okubo
    • , Emily L. Mackevicius
    •  & Michale S. Fee

  • Letter |

    Simultaneous recordings from hippocampus and entorhinal cortex in rats show that as the animals learn odour guidance cues during their exploration of two-dimensional space in the laboratory, ensembles of coherently firing neurons emerge in both locations, with cortical–hippocampal oscillatory coupling occurring in a specific range of the beta-gamma frequency band.

    • Kei M. Igarashi
    • , Li Lu
    •  & Edvard I. Moser

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