Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Complexity and the nervous system.

C Koch1, G Laurent

  • 1Computation and Neural Systems Program, Division of Biology, California Institute of Technology, Pasadena, CA 91125, USA. koch@klab.caltech.edu

Science (New York, N.Y.)
|April 2, 1999
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Iatrogenic adrenal insufficiency as a side-effect of combined treatment of itraconazole and budesonide.

The European respiratory journal·2002
Same author

Itraconazole treatment of allergic bronchopulmonary aspergillosis in patients with cystic fibrosis.

Allergy·2002
Same author

Microbial load of drinking water reservoir tributaries during extreme rainfall and runoff.

Applied and environmental microbiology·2002
Same author

Sulphation of the salivary mucin MG1 (MUC-5B) is not correlated to the degree of its sialylation and is unaffected by cystic fibrosis.

Pflugers Archiv : European journal of physiology·2002
Same author

Altered sialyl- and fucosyl-linkage on mucins in cystic fibrosis patients promotes formation of the sialyl-Lewis X determinant on salivary MUC-5B and MUC-7.

Pflugers Archiv : European journal of physiology·2002
Same author

Soil surface structure effect on isoproturon and diflufenican loss in runoff.

Journal of environmental quality·2002

Neuroscience reveals the intricate complexity of nervous systems, encompassing function, evolution, structure, and information coding. A comprehensive understanding of "brain complexity" requires integrating these four key perspectives for future research.

Area of Science:

  • Neuroscience
  • Comparative Biology
  • Computational Neuroscience

Background:

  • Modern neurosciences increasingly reveal the profound complexity inherent in even seemingly simple nervous systems.
  • This complexity is evident across multiple dimensions, including functional mechanisms, evolutionary trajectories, structural organization, and neural coding strategies.

Purpose of the Study:

  • To highlight the multifaceted nature of nervous system complexity.
  • To advocate for an integrated approach in the study of "brain complexity".

Main Methods:

  • Review of current understanding in neurobiology and evolutionary biology.
  • Conceptual synthesis of information processing in neural systems.

Main Results:

Related Experiment Videos

  • Nervous system complexity is a pervasive characteristic, not limited to higher organisms.
  • Function, evolutionary history, structure, and coding schemes are interconnected aspects of this complexity.

    • Conclusions:

    • A holistic "science of brain complexity" must integrate functional, evolutionary, structural, and coding perspectives.
    • Future research should adopt a multi-pronged approach to fully unravel neural complexity.