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- W1790586065 abstract "Since the time of Hebb, the physical substrate for learning and memory in the brain has been most often discussed in relation to activity-dependent synaptic weight changesmediated by LTP or LTD. However, two recent theoretical studies suggest that long term information storage in neural tissue could also depend (heavily) on structural plasticity atthe interface between axons and dendrites (Poirazi & Mel, 2001; Stepanyants et al. 2002).According to both theories, the capacity for structure-based information storage dependson the interaccessibility of afferent axons and their dendritic targets within the neuropil.For example, how many different axons are likely to be accessible to any given postsynapticdendrite with only minor structural modification? How much overlap exists inthe set of axons accessible to two different dendritic branches? Using axonal anddendritic arborizations of a reconstructed pyramidal neuron from cat visual cortex as areference point (courtesy J. Hirsch), we quantified the tradeoffs among severalmorphological variables that parameterize the axo-dendritic interface in neocortex,including spine length, spine density, dendritic branch length, branches per neuron, etc.We then used an extended version of the formula derived in Poirazi & Mel (2001) tounderstand how each of these variables separately and together contribute to the tissue'scapacity to learn." @default.
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- W1790586065 date "2004-05-15" @default.
- W1790586065 modified "2023-09-27" @default.
- W1790586065 title "Geometric Analysis of the Axo-Dendritic Interface inNeocortical Pyramidal Neurons" @default.
- W1790586065 hasPublicationYear "2004" @default.
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