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Titlebook: Anatomy of the Cortex; Statistics and Geome Valentino Braitenberg,Almut Schüz Book 19911st edition Springer-Verlag Berlin Heidelberg 1991 G

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樓主: probiotic
61#
發(fā)表于 2025-4-1 02:49:25 | 只看該作者
62#
發(fā)表于 2025-4-1 07:57:57 | 只看該作者
https://doi.org/10.1007/978-3-030-24090-5 Staiger’s (1984) collection. The sample was larger than in the case of the axons, since satisfactory impregnation of the dendritic tree is much more common in Golgi preparations than a complete stain of both dendrites and axons. The stain of the initial segment of the axon, in conjunction with the
63#
發(fā)表于 2025-4-1 13:53:26 | 只看該作者
Architecture and Implementationintracortical axonal branches of a certain neuron are distributed? The other, what proportion of the synapses present within that territory is served by that one axon? The two questions are related, and the answer to one can be deduced from the answer to the other once we know, as we already do, the
64#
發(fā)表于 2025-4-1 16:39:51 | 只看該作者
Studies of Brain Functionhttp://image.papertrans.cn/a/image/156962.jpg
65#
發(fā)表于 2025-4-1 21:29:49 | 只看該作者
66#
發(fā)表于 2025-4-2 00:36:51 | 只看該作者
Density of Dendrites,drites contained in 1 mm. of cortex. Here again we can start from two kinds of data, electron microscopy and Golgi preparations, and compare the results. The third method which we used in the case of axons, reduced silver staining, is not practicable for dendrites.
67#
發(fā)表于 2025-4-2 04:16:28 | 只看該作者
Quantitative Aspects of the Three Types of Neurons. Methods,tree is very different in different neurons and may be used as one of the distinguishing characteristics of pyramidal and non-pyramidal cells. This was indeed confirmed, the pyramidal cells producing the least dense axonal ramification and some stellate cells, as well as some extracortical afferents (Fig. 31) the densest in the cortex.
68#
發(fā)表于 2025-4-2 09:22:28 | 只看該作者
69#
發(fā)表于 2025-4-2 11:09:31 | 只看該作者
Grundlagen des Dynamic Pricing,Only the electron microscope provides the resolution which makes it possible to recognize individual synapses reliably.
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