Research ArticleNEUROSCIENCE

The somatosensory cortex receives information about motor output

See allHide authors and affiliations

Science Advances  10 Jul 2019:
Vol. 5, no. 7, eaaw5388
DOI: 10.1126/sciadv.aaw5388

eLetters is an online forum for ongoing peer review. Submission of eLetters are open to all . Please read our guidelines before submitting your own eLetter.

Compose eLetter

Plain text

  • Plain text
    No HTML tags allowed.
  • Web page addresses and e-mail addresses turn into links automatically.
  • Lines and paragraphs break automatically.
Author Information
First or given name, e.g. 'Peter'.
Your last, or family, name, e.g. 'MacMoody'.
Your email address, e.g.
Your role and/or occupation, e.g. 'Orthopedic Surgeon'.
Your organization or institution (if applicable), e.g. 'Royal Free Hospital'.
Statement of Competing Interests

This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.

Enter the characters shown in the image.

Vertical Tabs

    • Arturo Tozzi, Adjunct Assistant Professor, Center for Nonlinear Science, University of North Texas

    Information theory is a successful paradigm that permits the evaluation of the most general features of physical/biological systems (Bekenstein, 2003; Zenil, 2012). After Shannon’s (1948) account and Kantor’s (1977) claim, who first proposed that the world is made up of the fundamental, measurable physical quantity called information, countless information-related perspectives have been developed in different scientific fields. To provide a few examples, links among information theory, statistical thermodynamics, Renyi entropy, quantum mechanics and Bekenstein-Hawking entropy have been suggested (Jaynes 1957; Lloyd 2000; Marzuoli and Rasetti, 2005, Weizsäcker 2006; Bromiley et al., 2010). Even before the slogan “it from bit” was launched (Wheeler, 1990), neuroscientists started to ask to themselves: are we allowed to use physical information to assess neural and mental issues? By then, several efforts have been provided to describe brain activity -and its related mental functions and neural correlates- in terms of information. Many authors, including myself (e.g., Tozzi et al., 2016; Tozzi et al., 2018), provided explanations of mental functions in the fascinating framework of information entropy. Among the most successful attempts, free energy Bayesian approaches (Friston 2010) based on energy budgets (Attwell and Laughlin, 2001), and pairwise entropy extracted from fMRI neurodata (Watanabe et al., 2013 and 2014) are worth to be mentioned.

    However, with time...

    Show More
    Competing Interests: None declared.

Stay Connected to Science Advances

Editor's Blog

Navigate This Article