Untangling dendrites with quantitative models

I. Segev*, M. London

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

232 Scopus citations

Abstract

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.

Original languageAmerican English
Pages (from-to)744-750
Number of pages7
JournalScience
Volume290
Issue number5492
DOIs
StatePublished - 27 Oct 2000

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