Insects are among the most diverse and adaptable organisms on Earth. They have long been our chief competitors for food and are responsible for spreading devastating afflictions such as malaria and encephalitis. The insects' ability to thrive is due in large part to their well-developed sensory systems, which present a host of novel physiological,

Neurochemical Techniques in Insect Research properly emphasizes the insect. It only scratches the surface of the exploding repertoire of general neuro chemical techniques that can be applied to insect research in 1985. But it al so presents the advantages of using insects for studying certain biological questions that are approachable by neurochemical techniques. Even more so, it summarizes the long list of unique problems encountered in attempting to study insects by neurochemical techniques. As in other volumes of this series, the contributors to this volume are the authorities in the field. They themselves have developed much of the material presented. Thus the sum effort provides a true description of the state of the art; and, pleasantly, it does so in a very complete and clear manner. Readers of this series will not need to be reminded that, despite the fact that vertebrates make up only about 3% of all animal species, research in in vertebrates such as insects has lagged behind that on vertebrates, at least in the neurochemistry area; the relative simplicity and large cell size of the in sect nervous system has always provided incentive for work in neurophysiol ogy and neuroanatomy. Toxicology interests will always stimulate a certain amount of work on insect neuropharmacology, and insects are extremely suitable for several areas of toxin research. Last but not least, the insects are beautiful organisms for which the applications of genetics can be made to the study of nervous system function.

Synthesizing current information about sensory-motor plasticity, Neural Plasticity in Adult Somatic Sensory-Motor Systems provides an up-to-date description of the dynamic processes that occur in somatic sensory-motor cortical circuits or somatic sensory pathways to the cortex due to experience, learning, or damage to the nervous system. The book e

Extensively updated and expanded, this second edition of a bestseller distills the current state-of-the-science and provides the nuts and bolts foundation of the methods involved in this rapidly growing science. With contributions from pioneering researchers, it includes microwire array design for chronic neural recordings, new surgical techniques for chronic implantation, microelectrode microstimulation of brain tissue, multielectrode recordings in the somatosensory system and during learning, as well as recordings from the central gustatory-reward pathways. It explores the use of Brain-Machine Interface to restore neurological function and proposes conceptual and technical approaches to human neural ensemble recordings in the future.

It has become accepted in the neuroscience community that perception and performance are quintessentially multisensory by nature. Using the full palette of modern brain imaging and neuroscience methods, The Neural Bases of Multisensory Processes details current understanding in the neural bases for these phenomena as studied across species, stages

Since the first TRP ion channel was discovered in Drosophila melanogaster in 1989, the progress made in this area of signaling research has yielded findings that offer the potential to dramatically impact human health and wellness. Involved in gateway activity for all five of our senses, TRP channels have been shown to respond to a wide range of st

Recognition that aging is not the accumulation of disease, but rather comprises fundamental biological processes that are amenable to experimental study, is the basis for the recent growth of experimental biogerontology. As increasingly sophisticated studies provide greater understanding of what occurs in the aging brain and how these changes occur

Statistical Techniques for Neuroscientists introduces new and useful methods for data analysis involving simultaneous recording of neuron or large cluster (brain region) neuron activity. The statistical estimation and tests of hypotheses are based on the likelihood principle derived from stationary point processes and time series. Algorithms and software development are given in each chapter to reproduce the computer simulated results described therein. The book examines current statistical methods for solving emerging problems in neuroscience. These methods have been applied to data involving multichannel neural spike train, spike sorting, blind source separation, functional and effective neural connectivity, spatiotemporal modeling, and multimodal neuroimaging techniques. The author provides an overview of various methods being applied to specific research areas of neuroscience, emphasizing statistical principles and their software. The book includes examples and experimental data so that readers can understand the principles and master the methods. The first part of the book deals with the traditional multivariate time series analysis applied to the context of multichannel spike trains and fMRI using respectively the probability structures or likelihood associated with time-to-fire and discrete Fourier transforms (DFT) of point processes. The second part introduces a relatively new form of statistical spatiotemporal modeling for fMRI and EEG data analysis. In addition to neural scientists and statisticians, anyone wishing to employ intense computing methods to extract important features and information directly from data rather than relying heavily on models built on leading cases such as linear regression or Gaussian processes will find this book extremely helpful.

Understanding the phenomenon of long-lasting vulnerability to addiction is essential to developing successful treatments. Written by an international team of authorities in their respective fields, Advances in the Neuroscience of Addiction provides an excellent overview of the available and emerging approaches used to investigate the biol

Major depressive disorders have recently been associated with impairments in signaling pathways that regulate neuroplasticity and cell survival. Agents designed to directly target molecules in these pathways hold promise as new therapeutics for depression. With the collaboration of the most prestigious international specialists in biochemistry, molecular biology, genomics, psychiatry, psychology, and pharmacology, Neurobiology of Depression discusses the nature of the central nervous system circuits responsible for the modifications of neuronal functioning that lead to depression. The book begins by discussing animal, neurophysiological, and neuropsychological models of depression as well as neural foundations. It explores genetic factors that contribute to depression and describes the effect of monoaminergic systems in the central nervous system. Next, the book profiles the rise of psychopharmacology in the treatment of depression and the research into serotonin and monoamine reuptake inhibitors. It examines the role of the glutamatergic, endocannabinoid, and opioid systems in the pathophysiology of mood disorders, as well as the effect of biological rhythms on the human body. Later chapters review the role of CRF-related ligands, CRF receptors, HPA axis activity, and glucocorticoid receptors in the regulation of the stress response and depression. They also describe cytokine modulation of molecular mechanisms. They examine the role of neuropeptide Y, nitric oxide, beta-arrestins, BDNF, and phosphodiesterases, and discuss the use of tachykinin antagonists in treatment. Finally, they analyze the neurobiological basis for the development of new antidepressant agents. Exploring myriad aspects of a disease that plagues a large percentage of the population worldwide, this volume captures the state of the science of this debilitating disorder, facilitating further research and discovery.