COMPUTATION STYLES IN IDENTIFIED NEURONS FROM THE CRAB STOMATOGASTRIC GANGLION.
D.K. Hartline*, K. Graubard, A.E. Wilensky and G. Orr
U. of Hawaii, Honolulu, HI 96822 and U. of Washington, Seattle, WA 98195
presented at the 26th annual meeting of the Society for Neuroscience in
Washington D.C. November 17, 1996 (Abstr. 59.5) *.
Intermixture of input and output synapses along neurites,
as occurs in stomatogastric neurons, opens a possibility for "local" integration of
inputs in relative isolation from other functional regions of a cell. The rate of
attenuation of electrical signals spreading from a synaptic input to more distant neurites
is a key factor in this. VD and IC neurons present very different morphologies and may thus differ
in their signal-attenuation and characteristics and potential for local and global computation.
We compared signal attenuation in passive compartmental models of VD and IC to assess
potential differences in computational capabilities. Serial optical sections of Lucifer
yellow or Texas red-filled cells were made with a confocal microscope for 3D reconstruction with
imaging software. For current injected in distal neurites of either cell type,
attenuation of voltage responses was five-fold in secondary neurites and distal neurites
"down stream" of them. In VD but not IC, attenuation was less in neurites having a
secondary neurite in common with the injection site, and still less in those having
a post-secondary neurite in common. The results suggest that local computation, while
possible in both types, may be more regionally limited in IC than in VD cells
WARNING: panels 2 and 3 are absurdly large
Also, the index doesn't work yet. Please bear with us until we get the bugs ironed out!
INDEX to POSTER PANELS
- Cell morphologies
- Soma-to-neurite attenuation
- Distal tip attenuation
- Possible regions of local computation
- Distal vs. proximal computation
- Global computation
- VD vs. IC attenuation properties
* see Soc. Neurosci.Abstr. 22: 132 (1996).
Support from the Human Frontier Science Program and NIH grant NS15697 is gratefully acknowledged.
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