Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

Volume 21 Issue 6, June 2020

‘Talking in time’ inspired by the Review on p322.

Cover design: Jennie Vallis.

Research Highlights

  • Study demonstrates a crucial role for cold-sensitive, warm-inactivated sensory neurons in the perception of innocuous warmth.

    • Katherine Whalley
    Research Highlight

    Advertisement

  • Study demonstrates that the ion channel KCNN2 has an important role in motor skill learning deficiencies resulting from fetal alcohol exposure in mice.

    • Grant Otto
    Research Highlight
  • The presence of sugar in the gut is signalled via the vagus nerve to neurons in the caudal nucleus of the solitary tract, which help to mediate the formation of the preference for sugar over sweeteners.

    • Natasha Bray
    Research Highlight
Top of page ⤴

Reviews

  • Models of dendrites have been instrumental in our understanding of their functions. Poirazi and Papoutsi review the major contributions of dendritic models, including those already proved or waiting to be experimentally verified, and highlight successful interactions between the modelling and experimental neuroscience communities.

    • Panayiota Poirazi
    • Athanasia Papoutsi

    Collection:

    Review Article
  • Syllables play a central role in speech production and perception. In this Review, Poeppel and Assaneo outline how a simple biophysical model of the speech production system as an oscillator explains the remarkably stable rhythmic structure of spoken language.

    • David Poeppel
    • M. Florencia Assaneo
    Review Article
Top of page ⤴

Perspectives

  • The backpropagation of error (backprop) algorithm is frequently used to train deep neural networks in machine learning, but it has not been viewed as being implemented by the brain. In this Perspective, however, Lillicrap and colleagues argue that the key principles underlying backprop may indeed have a role in brain function.

    • Timothy P. Lillicrap
    • Adam Santoro
    • Geoffrey Hinton
    Perspective
Top of page ⤴

Search

Quick links