Kli


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KLI


KLI

Author:

language: en

Publisher:

Release Date: 1951


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The Zohar


The Zohar

Author: Michael Laitman

language: en

Publisher: Laitman Kabbalah Publishers

Release Date: 2009-01-01


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The wisdom of Kabbalah teaches us how to perceive and live in the reality that spreads before us. It is a systematic method that has evolved over thousands of years, nurtured by individuals whose task was to ensure that the true wisdom would be given to those ready to receive it. The Book of Zohar (The Book of Radiance) is an ageless source of wisdom and the basis for all Kabbalistic literature. Since its appearance nearly 2,000 years ago, it has been the primary, and often only, source used by Kabbalists. Written in a unique and metaphorical language. The Book of Zohar enriches our understanding of reality and expands our worldview. However, this text should not be read in an ordinary fashion. We should patiently and repeatedly read and think about each sentence as we try to penetrate the author's feelings. We should read it slowly and try to extract the nuances of the text. Although the text deals with one subject only-how to relate to the Creator-it approaches it from different angles. This allows each of us to find the particular phrase or word that will carry us into the depths of this profound and timeless wisdom.

Ay's Neuroanatomy of C. Elegans for Computation


Ay's Neuroanatomy of C. Elegans for Computation

Author: Theodore B. Achacoso

language: en

Publisher: CRC Press

Release Date: 2022-04-19


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First published in 1992, AY's Neuroanatomy of C. elegans for Computation provides the neural circuitry database of the nematode Caenorhabditis elegans, both in printed form and in ASCII files on 5.25-inch diskettes (for use on IBM® and compatible personal computers, Macintosh® computers, and higher level machines). Tables of connections among neuron classes, synapses among individual neurons, gap junctions among neurons, worm cells and their embryonic origin, and synthetically derived neuromuscular connections are presented together with the references from which the data were compiled and edited. Sample data files and source codes of FORTRAN and BASIC programs are provided to illustrate the use of mathematical tools for any researcher or student interested in examining a natural neural network and discovering what makes it tick.