A textbook for students with limited background in mathematics and computer coding, emphasizing computer tutorials that guide readers in producing models of neural behavior.This introductory text teac
This textbook presents a wide range of subjects in neuroscience from a computational perspective. It offers a comprehensive, integrated introduction to core topics, using
As neural data becomes increasingly complex, neuroscientists now require skills in computer programming, statistics, and data analysis. This book teaches practical neural
Before The Computational Brain was published in 1992, conceptual frameworks for brain function were based on the behavior of single neurons, applied globally. In The Computational Brain, Patricia Ch
The ventral visual stream is believed to underlie object recognition in primates. Over the past fifty years, researchers have developed a series of quantitative models th
The vast differences between the brain's neural circuitry and a computer's silicon circuitry might suggest that they have nothing in common. In fact, as Dana Ballard argues in this book, computational
The consideration of time or dynamics is fundamental for all aspects of mentalactivity--perception, cognition, and emotion--because the main feature of brain activity is thecontinuous change of the un
In Biological Learning and Control, Reza Shadmehr and SandroMussa-Ivaldi present a theoretical framework for understanding the regularity of the brain'sperceptions, its reactions to sensory stimuli,
Over the past sixty years, powerful methods of model-based control engineering havebeen responsible for such dramatic advances in engineering systems as autolanding aircraft,autonomous vehicles, and e
Vision is a massively parallel computational process, in which the retinal image istransformed over a sequence of stages so as to emphasize behaviorally relevant information (such asobject category an
This book provides an introduction into both computational models and experimental paradigms that are concerned with sensory cue integration both within and between sensory modalities. Importantly, ac
A Bayesian approach can contribute to an understanding of the brain on multiplelevels, by giving normative predictions about how an ideal sensory system should combine priorknowledge and observation,
In order to model neuronal behavior or to interpret the results of modeling studies, neuroscientists must call upon methods of nonlinear dynamics. This book offers an introduction to nonlinear dynamic
This book offers an introduction to current methods in computational modeling in neuroscience. The book describes realistic modeling methods at levels of complexity ranging from molecular interaction
Wilfrid Rall was a pioneer in establishing the integrative functions of neuronal dendrites that have provided a foundation for neurobiology in general and computational neuroscience in particular. Thi
This text provides an introduction to computational aspects of early vision, in particular, color, stereo, and visual navigation. It integrates approaches from psychophysics and quantitative neurobiol
What does it mean to say that a certain set of spikes is the right answer to a computational problem? In what sense does a spike train convey information about the sensory world? Spikes begins by pro
The study of cortical oscillations is of great interest to those working in many areas of neuroscience. A fast coherent EEG rhythm called gamma or "40 Hz" has been implicated in cognition, as it may p
Provides an introduction to the neural network modeling of complex cognitive and neuropsychological processes.Over the past few years, computer modeling has become more prevalent in the clinical scien
Presents the biology and computational features of the basal ganglia and their related cortical areas, and discusses how this knowledge can be integrated into neural network models. Offers chapters on
The Computational Brain is the first unified and broadly accessible book to bring together computational concepts and behavioral data within a neurobiological framework. Churchland and Sejnowski addr
Heiligenberg's pioneering research describes the behavior of one species, the jamming avoidance response in the electric fish Eigenmannia, providing a rich mine of data that documents the first verteb
The International Congress on Neurotechnology, Electronics, and Informatics (NEUROTECHNIX) took place in Algarve, Portugal in September of 2013. The congress provided a meeting point of academics and
For years, researchers have used the theoretical tools of engineering to understand neural systems, but much of this work has been conducted in relative isolation. In Neural Engineering, Chris Eliasmi
Recent advances in motor behavior research rely on detailed knowledge of thecharacteristics of the neurons and networks that generate motor behavior. At the cellular level,Neurons, Networks, and Motor
This book is intended for use in advanced graduate courses in statistics / machine learning, as well as for all experimental neuroscientists seeking to understand statistical methods at a deeper level
Reviews the most intriguing applications of fractal analysis in neuroscience with a focus on current and future potential, limits, advantages, and disadvantages. Will bring an understanding of fractal
Neuromechanics is a new, quickly growing field of neuroscience research that merges neurophysiology, biomechanics and motor control and aims at understanding living systems and their elements through
Since information in the brain is processed by the exchange of spikes among neurons, a study of such group dynamics is extremely important in understanding hippocampus dependent memory. These spike pa
Neuronal dendritic trees are complex structures that endow the cell with powerful computing capabilities and allow for high neural interconnectivity. Studying the function of dendritic structures has
Sleep and anesthesia resemble in many ways at a first glance. The most prominent common feature of course is the loss of consciousness, i.e. the loss of awareness of external stimuli. However a closer
When funding agencies and policy organizations consider the role of modeling and simulation in modern biology, the question is often posed, what has been accomplished ?This book will be organized arou
Drug addiction remains one of the most important public health problems in western societiesand is a rising concern for developing nations. Over the past 3 decades, experimental research on theneurobi
This volume has been put together by Grun (RIKEN Brain Science Institute, Japan) and Rotter (biology and computational neuroscience, Albert-Ludwig U., Germany) under the assumption that following the
Recent experimental research advances have led to increasingly detailed descriptions of how networks of interacting neurons process information. With these developments, it has become clear that dyna
Increasing interest in the study of coordinated activity of brain cell ensembles reflects the current conceptualization of brain information processing and cognition. It is thought that cognitive proc
Dynamic-clamp is a fascinating electrophysiology technique that consists of merging living neurons with computational models. The dynamic-clamp (also called "conductance injection") allows experiment
