Synaptogenesis and its relation to growth of the postsynaptic cell: A quantitative study of the developing mauthner neuron of the axolotl

Jean Jacoby; Charles B. Kimmel

doi:10.1002/cne.902040407

Synaptogenesis and its relation to growth of the postsynaptic cell: A quantitative study of the developing mauthner neuron of the axolotl

The Journal of Comparative Neurology ◽

10.1002/cne.902040407 ◽

1982 ◽

Vol 204 (4) ◽

pp. 364-376 ◽

Cited By ~ 14

Author(s):

Jean Jacoby ◽

Charles B. Kimmel

Keyword(s):

Quantitative Study ◽

Mauthner Neuron ◽

Postsynaptic Cell

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Electron-Mirror Microscopic Aspects of Ferroelectric Domains of BaTiO3 And Ca2Sr (C2H5CO2)6

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100069387 ◽

1970 ◽

Vol 28 ◽

pp. 478-479

Author(s):

Teruo Someya ◽

Jinzo Kobayashi

Keyword(s):

Surface Layer ◽

Electric Fields ◽

Quantitative Study ◽

Recent Progress ◽

Ferroelectric Domain ◽

Resolving Power ◽

Surface Pattern ◽

Crystal Surfaces ◽

One Dimensional ◽

Ferroelectric Domains

Recent progress in the electron-mirror microscopy (EMM), e.g., an improvement of its resolving power together with an increase of the magnification makes it useful for investigating the ferroelectric domain physics. English has recently observed the domain texture in the surface layer of BaTiO3. The present authors ) have developed a theory by which one can evaluate small one-dimensional electric fields and/or topographic step heights in the crystal surfaces from their EMM pictures. This theory was applied to a quantitative study of the surface pattern of BaTiO3).

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Postsynaptic neuronal geometry and synaptic effectiveness

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100127840 ◽

1987 ◽

Vol 45 ◽

pp. 690-697

Author(s):

C.J. Wilson

Keyword(s):

Central Nervous System ◽

Nervous System ◽

Synaptic Function ◽

Postsynaptic Neuron ◽

Synaptic Inputs ◽

Partial Analysis ◽

Postsynaptic Cell ◽

Neuronal Geometry ◽

The Relationship ◽

Complex Scale

Most central nervous system neurons receive synaptic input from hundreds or thousands of other neurons, and the computational function of such neurons results from the interactions of inputs on a large and complex scale. In most situations that have yielded to a partial analysis, the synaptic inputs to a neuron are not alike in function, but rather belong to distinct categories that differ qualitatively in the nature of their effect on the postsynaptic cell, and quantitatively in the strength of their influence. Many factors have been demonstrated to contribute to synaptic function, but one of the simplest and best known of these is the geometry of the postsynaptic neuron. The fundamental nature of the relationship between neuronal shape and synaptic effectiveness was established on theoretical grounds prior to its experimental verification.

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