Alain Destexhe – författare

During sleep, the mammalian brain generates an orderly progression of low frequency oscillations as the brain moves from sleep onset into deep sleep. This book explores the underlying neural mechanisms involved in generating these oscillations through interacting neural assemblies in the thalamus and the cortex. Sleep spindles are involved in the consolidation of experiences in long-term memory during sleep.Written by two leading experts in the field, this book integrates the properties of ion channels, synaptic interactions, and intrinsic cellular mechanisms into biophysical models of neural oscillations in local circuits and distributed networks. In particular, the book focuses on sleep spindles and how they are highjacked by epileptic seizuresReissued in paperback after being unavailable for many years, this revised edition of Thalamocortical Assemblies includes updates to each chapter, highlighting developments since its first publication. The book will be valuable to neuroscientists, neurobiologists, physiologists and computational researchers interested in sleep and memory processes.

Neuronal Noise combines experimental, theoretical and computational results to show how noise is inherent to neuronal activity, and how noise can be important for neuronal computations.  The book covers many aspects of noise in neurons, with an emphasis on the largest source of noise: synaptic noise. It provides students and young researchers with an overview of the important methods and concepts that have emerged from research in this area. It also provides the specialist with a summary of the large body of sometimes contrasting experimental data, and different theories proposed to explore the computational power that various forms of "noise" can confer to neurons.

Dynamic-clamp is a fascinating electrophysiology technique that consists of merging living neurons with computational models. The dynamic-clamp (also called “conductance injection”) allows experimentalists and theoreticians to challenge neurons (or any other type of cell) with complex conductance stimuli generated by a computer.The technique can be implemented from neural simulation environments and a variety of custom-made or commercial systems. The real-time interaction between the computer and cell also enables the design of recording paradigms with unprecedented accuracy via a computational model of the electrode. Dynamic-Clamp: From Principles to Applications contains contributions from leading researchers in the field, who investigate these paradigms at the cellular or network level, in vivo and in vitro, and in different brain regions and cardiac cells. Topics discussed include the addition of artificially-generated synaptic activity to neurons; adding, amplifying or neutralizing voltage-dependent conductances; creating hybrid networks with real and artificial cells; attaching simulated dendritic tree structures to the living cell; and connecting different neurons.This book will be of interest to experimental biophysicists, neurophysiologists, and cardiac physiologists, as well as theoreticians, engineers, and computational neuroscientists. Graduate and undergraduate students will also find up-to-date coverage of physiological problems and how they are investigated.

Neuroscientists employ many different techniques to observe the activity of the brain, from single-channel recording to functional imaging (fMRI). Many practical books explain how to use these techniques, but in order to extract meaningful information from the results it is necessary to understand the physical and mathematical principles underlying each measurement. This book covers an exhaustive range of techniques, with each chapter focusing on one in particular. Each author, a leading expert, explains exactly which quantity is being measured, the underlying principles at work, and most importantly the precise relationship between the signals measured and neural activity. The book is an important reference for neuroscientists who use these techniques in their own experimental protocols and need to interpret their results precisely, for computational neuroscientists who use such experimental results in their models, and for scientists who want to develop new measurement techniques or enhance existing ones.

The horrific slaughter in Rwanda has once again driven home the deeply rooted existence and continuing presence of genocidal impulses. In this passionately argued volume-first published to great acclaim in France and considerably updated during the translation process-a deeply involved witness of the massacres takes an unflinching look at recent events in Rwanda and what they can tell us about the nature of genocide. Table of Contents Foreword By William Shawcross 1. The Unlearned Lesson of History 2. Three Genocides in the Twentieth Century 3. The Hutu and the Tutsi 4. From Indifference to Compassion 5. Justice Must be Done Appendix 1: Convention on the Prevention and the Punishment of the Crime of Genocide Appendix 2: Chronology Notes Index

For well over a century, the United Fruit Company (UFCO) has been the most vilified multinational corporation operating in Latin America. Criticism of the UFCO has been widespread, ranging from politicians to consumer activists, and from labor leaders to historians, all portraying it as an overwhelmingly powerful corporation that shaped and often exploited its host countries. In this first history of the UFCO in Colombia, Marcelo Bucheli argues that the UFCO's image as an all-powerful force in determining national politics needs to be reconsidered. Using a previously unexplored source—the internal archives of Colombia's UFCO operation—Bucheli reveals that before 1930, the UFCO worked alongside a business-friendly government that granted it generous concessions and repressed labor unionism. After 1930, however, the country experienced dramatic transformations including growing nationalism, a stronger labor movement, and increasing demands by local elites for higher stakes in the banana export business.In response to these circumstances, the company abandoned production, selling its plantations (and labor conflicts) to local growers, while transforming itself into a marketing company. The shift was endorsed by the company's shareholders and financial analysts, who preferred lower profits with lower risks, and came at a time in which the demand for bananas was decreasing in America. Importantly, Bucheli shows that the effect of foreign direct investment was not unidirectional. Instead, the agency of local actors affected corporate strategy, just as the UFCO also transformed local politics and society.

Dynamic-clamp is a fascinating electrophysiology technique that consists of merging living neurons with computational models. The dynamic-clamp (also called “conductance injection”) allows experimentalists and theoreticians to challenge neurons (or any other type of cell) with complex conductance stimuli generated by a computer.The technique can be implemented from neural simulation environments and a variety of custom-made or commercial systems. The real-time interaction between the computer and cell also enables the design of recording paradigms with unprecedented accuracy via a computational model of the electrode. Dynamic-Clamp: From Principles to Applications contains contributions from leading researchers in the field, who investigate these paradigms at the cellular or network level, in vivo and in vitro, and in different brain regions and cardiac cells. Topics discussed include the addition of artificially-generated synaptic activity to neurons; adding, amplifying or neutralizing voltage-dependent conductances; creating hybrid networks with real and artificial cells; attaching simulated dendritic tree structures to the living cell; and connecting different neurons.This book will be of interest to experimental biophysicists, neurophysiologists, and cardiac physiologists, as well as theoreticians, engineers, and computational neuroscientists. Graduate and undergraduate students will also find up-to-date coverage of physiological problems and how they are investigated.

Neuronal Noise combines experimental, theoretical and computational results to show how noise is inherent to neuronal activity, and how noise can be important for neuronal computations.  The book covers many aspects of noise in neurons, with an emphasis on the largest source of noise: synaptic noise. It provides students and young researchers with an overview of the important methods and concepts that have emerged from research in this area. It also provides the specialist with a summary of the large body of sometimes contrasting experimental data, and different theories proposed to explore the computational power that various forms of "noise" can confer to neurons.