---
abstract: |
In attempts to formulate a computational understanding of brain function,
one of the fundamental concerns is the data structure by which the brain
represents information. For many decades, a conceptual framework has
dominated the thinking of both brain modelers and neurobiologists. That
framework is referred to here as "classical neural networks." It is well
supported by experimental data, although it may be incomplete. A
characterization of this framework will be offered in the next section.
Difficulties in modeling important functional aspects of the brain on the
basis of classical neural networks alone have led to the recognition that
another, general mechanism must be invoked to explain brain function. That
mechanism I call "binding." Binding by neural signal synchrony had been
mentioned several times in the liter ature (LegeŽndy, 1970; Milner, 1974)
before it was fully formulated as a general phenomenon (von der Malsburg,
1981). Although experimental evidence for neural syn chrony was soon found,
the idea was largely ignored for many years. Only recently has it become a
topic of animated discussion. In what follows, I will summarize the nature
and the roots of the idea of binding, especially of temporal binding, and
will discuss some of the objec tions raised against it.
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creators_name:
- family: von der Malsburg
given: Christoph
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date: 1999-09
date_type: published
datestamp: 2001-05-09
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dir: disk0/00/00/14/88
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lastmod: 2011-03-11 08:54:38
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number: 1
pagerange: 95-104
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publication: Neuron
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rev_number: 14
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status_changed: 2007-09-12 16:38:10
subjects:
- comp-neuro-sci
- comp-sci-mach-dynam-sys
- comp-sci-neural-nets
- neuro-mod
- phil-mind
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title: "The What and Why of Binding: The Modeler's Perspective"
type: journalp
userid: 1565
volume: 24