Cellular And Molecular Mechanisms Underlying Higher Neural Functions

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Cellular and Molecular Mechanisms Underlying Higher Neural Functions

Despite the remarkable advances made in molecular neurobiology over the last ten years, very little progress has been made towards understanding how the brain performs higher functions: cognition, behavior, learning, and memory. One of the greatest challenges facing modern neurobiology, therefore, is the integration of data that comes from disparate levels of analysis. This volume presents the results of the Dahlem conference convened to address these issues. The purpose of the conference was to bring together brain researchers, who approach their work at different conceptual levels, to consider how their results might be synthesized into a more integrated view of how the brain works. To try and accomplish this, two specific examples were chosen: the modulation of neural circuits and the phenomena of long-term potentiation (LTP). Neuromodulation has been studied from the molecular to the behavioral level with dramatic breakthroughs at the circuit level over the last five years. Due to the possibility that it may be the cellular mechanism for certain types of learning and memory, LTP has also been studied at different levels. To assist in understanding LTP and neuromodulation at the molecular, cellular, circuit, and behavioral levels, the background papers written for the meeting are included in this volume. The conference itself was devoted to discussing LTP and neuromodulation from the perspective of each of the different levels, and the results of these discussions are presented in the group reports. Particular emphasis was given to a consideration of how the rapid progress in molecular and cellular neurobiology can be integrated into systems and behavioral neurobiology. Specific suggestions for future research in both areas were discussed thoroughly. This volume presents what is most probably the most authoritative, up-to-date assessment of LTP and neuromodulation currently available. Goal of this Dahlem Workshop: to apply new cellular and molecular concepts to the understanding of plasticity in synapses, cells, local circuits, and defined systems in the mature brain.
Bioengineering Approaches to Pulmonary Physiology and Medicine

Author: M.C.K. Khoo
language: en
Publisher: Springer Science & Business Media
Release Date: 2007-08-20
As the current millennium steams towards a close, one cannot help but look with amazement at the incredible amount of progress that has been achieved in medicine in just the last few decades. A key contributing factor to this success has been the importation and blending of ideas and techniques from disciplines outside the traditional borders of medical science. In recent years, the most well-known example is the cross-pollination between molecular biology and medicine. Advances driven by this potent combination have spawned the vision of a future where cures based on gene therapy become commonplace. Yet, as we continue our search for "magic bullets" in the quest to eradicate disease, it important to recognize the value of other less-heralded interdisciplinary efforts that have laid a large part of the foundation of present-day medicine. In pulmonary medicine, the contribution from the bioengineers (a diverse collection of individuals cross-bred to various degrees in mathematical modeling and experimental physiology) has been larger and more sustained than in many other medical specialties. It is easy to point to the vast array of ventilators, blood-gas analyzers, oximeters, pulmonary function devices, and respiration monitors that are present in any modern clinical setting as solid evidence of the successful synergy between engineering science and pulmonary medicine. However, one must not forget the less tangible, but perhaps more important, contributions that have been derived from mathematical modeling and computer simulation, without which many of these modern instruments would not have come into existence.
Neural Network Models of Cognition

This internationally authored volume presents major findings, concepts, and methods of behavioral neuroscience coordinated with their simulation via neural networks. A central theme is that biobehaviorally constrained simulations provide a rigorous means to explore the implications of relatively simple processes for the understanding of cognition (complex behavior). Neural networks are held to serve the same function for behavioral neuroscience as population genetics for evolutionary science. The volume is divided into six sections, each of which includes both experimental and simulation research: (1) neurodevelopment and genetic algorithms, (2) synaptic plasticity (LTP), (3) sensory/hippocampal systems, (4) motor systems, (5) plasticity in large neural systems (reinforcement learning), and (6) neural imaging and language. The volume also includes an integrated reference section and a comprehensive index.