Ays Neuroanatomy Of C Elegans For Computation

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.

The nematode C. elegans is one of the most important model organisms for understanding neurobiology. Its completely mapped neural connectome of 302 neurons and fully characterized and stereotyped development have made it a prototype for understanding nervous system structure, development, and function. Fifty-six out of C. elegans' total of 959 somatic cells are classified as neuroglia. Although research on worm glia has lagged behind studies focused on neurons, there has been a steep upswing in interest during the past decade. Information arising from the recent burst of research on worm glia supports the idea that C. elegans will continue to be an important animal model for understanding glial cell biology. Since the developmental lineage of all cells was mapped, each glial cell in C. elegans is known by a specific name and has research associated with it. We list and describe the glia of the hermaphrodite form of C. elegans and summarize research findings relating to each glial cell. We hope this lecture provides an informative overview of worm glia to accompany the excellent and freely available online resources available to the worm research community.

The Neurobiology of C. elegans assembles together a series of chapters describing the progress researchers have made toward solving some of the major problems in neurobiology with the use of this powerful model organism. The first chapter is an introduction to the anatomy of the C. elegans nervous system. This chapter provides a useful introduction to this system and will help the reader who is less familiar with this system understand the chapters that follow. The next two chapters on learning, conditioning and memory and neuronal specification and differentiation, summarize the current state of the C. elegans field in these two major areas of neurobiology. The remaining chapters describe studies in C. elegans that have provided particularly exciting insights into neurobiology.

Efforts to model computation in biological neural networks require knowledge of the structure of the network, the dynamics that play across it, and a network simple enough to be tractable to our incipient analyses. The simplicity of the 302-node nervous system of the nematode C. elegans and its transparency have made it an attractive model organism in neuroscience for several decades. Indeed, Caenorhabditis elegans has long been touted as the only species for which the connectome is known, reconstructed by hand from electron micrographs. However, while the number and identity of neurons in C. elegans appears fixed across animals, the variability in the connections between them has not been sufficiently characterized by the above efforts, which examined only a handful of animals and required many years of human labor. Such a characterization, and, moreover, an ability to accurately assess shifts in these neural graphs on timescales compatible with the pace and statistical rigor of scientific research would significantly accelerate efforts to understand neural computation. This thesis lays the groundwork for the development of such a framework. The expansion microscopy tissue preparation platform provided the basis for the set of experiments described within, in which strategies for molecular annotation of C. elegans and the subsequent protocols for readout are examined.

In Computational Neuroanatomy: Principles and Methods, the path-breaking investigators who founded the field review the principles and key techniques available to begin the creation of anatomically accurate and complete models of the brain. Combining the vast, data-rich field of anatomy with the computational power of novel hardware, software, and computer graphics, these pioneering investigators lead the reader from the subcellular details of dendritic branching and firing to system-level assemblies and models.

Comprehensive Overview of Advances in OlfactionThe common belief is that human smell perception is much reduced compared with other mammals, so that whatever abilities are uncovered and investigated in animal research would have little significance for humans. However, new evidence from a variety of sources indicates this traditional view is likely

This book covers novel approaches using networks and oscillations and it will serve as a catalyst for translating these exciting advancements into the clinical arena. This collection of articles aims to accelerate the widespread clinical translation of network approaches by providing practical information accessible to clinicians in neurology and psychiatry - fields that are uniquely poised to implement these developments in clinical treatment of brain diseases. It should be a useful resource for researchers and clinicians in neurology and psychiatry.