The book covers the most common and important approaches for the identification of nonlinear static and dynamic systems. Additionally, it provides the reader with the necessary background on optimization techniques making the book self-contained. The emphasis is put on modern methods based on neural networks and fuzzy systems without neglecting the classical approaches. The entire book is written from an engineering point-of-view, focusing on the intuitive understanding of the basic relationships. This is supported by many illustrative figures. Advanced mathematics is avoided. Thus, the book is suitable for last year undergraduate and graduate courses as well as research and development engineers in industries.

The auditory system is a complex neural system composed of many types of neurons connected into networks. One feature that sets the auditory system apart from other sensory systems, such as somatosensory or visual systems, is the many stages of neural processing that occur between the ear in the periphery and the cerebral cortex. Each stage is composed of specialized types of neurons connected in specific microcircuits that perform computations on the information about sound. To understand this processing, all the tools of neuroscience must be employed. The proposed text integrates cell biology, synaptic physiology, and electrophysiology to fully develop the topic, presenting an overview of the functional anatomy of the central auditory system. It is organized based on the neuronal connectivity of the central auditory system, which emphasizes the neurons, their synaptic organization, and their formation of functional pathways and microcircuits. The goal of the book is to stimulate research into the cell biology of the central auditory system and the characteristics of the specific neurons and connections that are necessary for normal hearing. Future research on the development of the central auditory including that employing stem cells will require such information in order to engineer appropriate therapeutic approaches.

The auditory system is a complex neural system composed of many types of neurons connected into networks. One feature that sets the auditory system apart from other sensory systems, such as somatosensory or visual systems, is the many stages of neural processing that occur between the ear in the periphery and the cerebral cortex. Each stage is composed of specialized types of neurons connected in specific microcircuits that perform computations on the information about sound. To understand this processing, all the tools of neuroscience must be employed. The proposed text integrates cell biology, synaptic physiology, and electrophysiology to fully develop the topic, presenting an overview of the functional anatomy of the central auditory system. It is organized based on the neuronal connectivity of the central auditory system, which emphasizes the neurons, their synaptic organization, and their formation of functional pathways and microcircuits. The goal of the book is to stimulate research into the cell biology of the central auditory system and the characteristics of the specific neurons and connections that are necessary for normal hearing. Future research on the development of the central auditory including that employing stem cells will require such information in order to engineer appropriate therapeutic approaches.

Written from an engineering point of view, this book covers the most common and important approaches for the identification of nonlinear static and dynamic systems. The book also provides the reader with the necessary background on optimization techniques, making it fully self-contained. The new edition includes exercises.