Linked Life Data

11052930

Source:http://linkedlifedata.com/resource/pubmed/id/11052930

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
5492
pubmed:dateCreated
2000-11-1
pubmed:abstractText
Our understanding of the function of dendrites has been greatly enriched by an inspiring dialogue between theory and experiments. Rather than functionally ignoring dendrites, representing neurons as single summing points, we have realized that dendrites are electrically and chemically distributed nonlinear units and that this has important consequences for interpreting experimental data and for the role of neurons in information processing. Here, we examine the route to unraveling some of the enigmas of dendrites and highlight the main insights that have been gained. Future directions are discussed that will enable theory and models to keep shedding light on dendrites, where the most fundamental input-output adaptive processes take place.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Oct
pubmed:issn
0036-8075
pubmed:author
pubmed:issnType
Print
pubmed:day
27
pubmed:volume
290
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
744-50
pubmed:dateRevised
2007-3-19
pubmed:meshHeading
pubmed:year
2000
pubmed:articleTitle
Untangling dendrites with quantitative models.
pubmed:affiliation
Department of Neurobiology and Interdisciplinary Center for Neural Computation, The Hebrew University of Jerusalem, Jerusalem, 91904, Israel. idan@lobster.ls.huji.ac.il
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, Non-P.H.S., Review, Research Support, Non-U.S. Gov't