Medical Journals

Temporal Precision in the Neural Code and the Timescales of Natural Vision.

Authors:
  • Butts Daniel A
  • Weng Chong
  • Jin Jianzhong
  • Yeh Chun-I
  • Lesica Nicholas A
  • Alonso Jose-Manuel
  • Stanley Garrett B

From: School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts 02138, USA. dab2024@med.cornell.edu

Nature

  • Publish Date: Sep 2007
  • ISSN: 1476-4687
  • Volume: 449
  • Issue: 7158
  • Pages: 92-5
  • Medium: Internet
  • Language: English
  • Citation (JAMA): Butts Daniel A, Weng Chong, Jin Jianzhong, et al. Temporal Precision in the Neural Code and the Timescales of Natural Vision.. Nature Sep 2007;449:92-5

Abstract

The timing of action potentials relative to sensory stimuli can be precise down to milliseconds in the visual system, even though the relevant timescales of natural vision are much slower. The existence of such precision contributes to a fundamental debate over the basis of the neural code and, specifically, what timescales are important for neural computation. Using recordings in the lateral geniculate nucleus, here we demonstrate that the relevant timescale of neuronal spike trains depends on the frequency content of the visual stimulus, and that ‘relative’, not absolute, precision is maintained both during spatially uniform white-noise visual stimuli and naturalistic movies. Using information-theoretic techniques, we demonstrate a clear role of relative precision, and show that the experimentally observed temporal structure in the neuronal response is necessary to represent accurately the more slowly changing visual world. By establishing a functional role of precision, we link visual neuron function on slow timescales to temporal structure in the response at faster timescales, and uncover a straightforward purpose of fine-timescale features of neuronal spike trains.

Mesh Headings (Keywords): Action Potentials, Animals, Cats, Geniculate Bodies, Models, Neurological, Neurons, Photic Stimulation, Time Factors, Visual Perception


Check for Full Text / PubMed Unique Identifier (PMID): 17805296


This abstract is part of PubMed, a service of the U.S. National Library of Medicine. PubMed includes more than 17 million citations from MEDLINE and other life science journals for biomedical articles. See Copyright and Disclaimers.

Linked medical terms appearing on this page are added by Healia to help readers find more information and are not part of the original PubMed document.

The data herein was last updated on July 8th, 2008 and may not reflect the most current and accurate data available from NLM.


Advertisements

About | Privacy Policy | Business Solutions | Advertise | Contact | Add Healia to your site

©2012. Healia / Meredith Corporation  

Use of this site constitutes acceptance of our Terms of Service and Privacy Policy. All content on this Web site, including medical opinion and any other health-related information, is for informational purposes only and should not be used for a specific diagnosis or individual treatment plan for any situation. Use of this site and the information contained herein does not create a doctor-patient relationship. Always seek the direct advice of your doctor in connection with any questions or issues you may have regarding your own health or the health of others.