IDEAS home Printed from https://ideas.repec.org/a/sae/sagope/v5y2015i1p2158244015576056.html
   My bibliography  Save this article

Rethinking Extrasensory Perception

Author

Listed:
  • Sonali Bhatt Marwaha
  • Edwin C. May

Abstract

In this article, we define precognition as an atypical perceptual ability that allows the acquisition of non-inferential information arising from a future point in spacetime. The Multiphasic Model of Precognition (MMPC) identifies two distinct phases: The first is the physics domain, which addresses the question of retrocausation and how it is possible for information to traverse from one spacetime point to another. We suggest that the solution might be found within entropic considerations. The second is the neuroscience domain, which addresses the acquisition and interpretation of retrocausal signals. We propose that this occurs across three stages: (a) perception of signals from an information carrier, based on psychophysical variability in a putative signal transducer; (b) cortical processing of the signals, mediated by a cortical hyper-associative mechanism; and (c) cognition, mediated by normal cognitive processes, leading to a response based on retrocausal information. The model is comprehensive, brain-based, and provides a new direction for research requiring multidisciplinary expertise.

Suggested Citation

  • Sonali Bhatt Marwaha & Edwin C. May, 2015. "Rethinking Extrasensory Perception," SAGE Open, , vol. 5(1), pages 21582440155, March.
    • Handle: RePEc:sae:sagope:v:5:y:2015:i:1:p:2158244015576056
    DOI: 10.1177/2158244015576056
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/2158244015576056
    Download Restriction: no
    File URL: https://libkey.io/10.1177/2158244015576056?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Austin Roorda & David R. Williams, 1999. "The arrangement of the three cone classes in the living human eye," Nature, Nature, vol. 397(6719), pages 520-522, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Noah C Benson & Jeremy R Manning & David H Brainard, 2014. "Unsupervised Learning of Cone Spectral Classes from Natural Images," PLOS Computational Biology, Public Library of Science, vol. 10(6), pages 1-13, June.
    2. Xaq Pitkow & Haim Sompolinsky & Markus Meister, 2007. "A Neural Computation for Visual Acuity in the Presence of Eye Movements," PLOS Biology, Public Library of Science, vol. 5(12), pages 1-14, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:sagope:v:5:y:2015:i:1:p:2158244015576056. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.