English
 
User Manual Privacy Policy Disclaimer Contact us
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Are photoreceptors optimal?

Kirschfeld, K. (1983). Are photoreceptors optimal? Trends in Neurosciences, 6(3), 97-101. doi:10.1016/0166-2236(83)90047-4.

Item is

Basic

show hide
Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-F07D-0 Version Permalink: http://hdl.handle.net/21.11116/0000-0006-646D-0
Genre: Journal Article

Files

show Files

Locators

show
hide
Description:
-

Creators

show
hide
 Creators:
Kirschfeld, K1, 2, Author              
Affiliations:
1Former Department Comparative Neurobiology, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497800              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

Content

show
hide
Free keywords: -
 Abstract: The analysis of biological systems has in many cases revealed almost unbelievable degrees of adaptation, sophistication and efficiency. In the case of sense organs, the ultimate limits to evolution often seem to be imposed by physical constraints rather than by properties of the biological substrate. For example, chemoreceptors respond to individual molecules, mechanoreceptors are sensitive to displacements in the order of 10−8 cm (i.e. the diameter of a hydrogen atom) at the receptive site, and photoreceptors signal the absorption of individual quanta of light. Consequently, when analysing a highly developed sense organ we expect a priori to find a system that is optimized with respect to its structural and functional parameters. However, our knowledge of the mechanisms of Darwinian evolution tells us that in general further improvement could still be possible.

Details

show
hide
Language(s):
 Dates: 1983-03
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: -
 Identifiers: DOI: 10.1016/0166-2236(83)90047-4
BibTex Citekey: 3748
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Trends in Neurosciences
  Other : Trends Neurosci.
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Oxford : Elsevier Current Trends
Pages: - Volume / Issue: 6 (3) Sequence Number: - Start / End Page: 97 - 101 Identifier: ISSN: 0166-2236
CoNE: https://pure.mpg.de/cone/journals/resource/954927741850