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Author: Kenneth William Latimer Publisher: ISBN: Category : Languages : en Pages : 354
Book Description
Here we consider the neural coding problem at two levels of the macaque visual system.First, we analyze single neurons recorded in the lateral intraparietal (LIP) cortex while a monkey performed a perceptual decision-making task. We relate the single-trial responses in LIP to stochastic decision-making processes with latent dynamical models. We compare models with latent spike rates governed by either continuous diffusion-to-bound dynamics or discrete "stepping" dynamics. In contrast to previous findings, roughly three-quarters of the choice-selective neurons we recorded are better described by the stepping model. Second, we introduce a biophysically inspired point process model that explicitly incorporates stimulus-induced changes in synaptic conductance in a dynamical model of neuronal membrane potential. We show that our model provides a tractable model of spike responses in macaque parasol retinal ganglion cells that is both more accurate and more interpretable than the popular generalized linear model. Most importantly, we show that we can accurately infer intracellular synaptic conductances from extracellularly recorded spike trains.
Author: Kenneth William Latimer Publisher: ISBN: Category : Languages : en Pages : 354
Book Description
Here we consider the neural coding problem at two levels of the macaque visual system.First, we analyze single neurons recorded in the lateral intraparietal (LIP) cortex while a monkey performed a perceptual decision-making task. We relate the single-trial responses in LIP to stochastic decision-making processes with latent dynamical models. We compare models with latent spike rates governed by either continuous diffusion-to-bound dynamics or discrete "stepping" dynamics. In contrast to previous findings, roughly three-quarters of the choice-selective neurons we recorded are better described by the stepping model. Second, we introduce a biophysically inspired point process model that explicitly incorporates stimulus-induced changes in synaptic conductance in a dynamical model of neuronal membrane potential. We show that our model provides a tractable model of spike responses in macaque parasol retinal ganglion cells that is both more accurate and more interpretable than the popular generalized linear model. Most importantly, we show that we can accurately infer intracellular synaptic conductances from extracellularly recorded spike trains.
Author: Nikolaus Kriegeskorte Publisher: MIT Press ISBN: 0262016249 Category : Mathematics Languages : en Pages : 659
Book Description
How visual content is represented in neuronal population codes and how to analyze such codes with multivariate techniques. Vision is a massively parallel computational process, in which the retinal image is transformed over a sequence of stages so as to emphasize behaviorally relevant information (such as object category and identity) and deemphasize other information (such as viewpoint and lighting). The processes behind vision operate by concurrent computation and message passing among neurons within a visual area and between different areas. The theoretical concept of "population code" encapsulates the idea that visual content is represented at each stage by the pattern of activity across the local population of neurons. Understanding visual population codes ultimately requires multichannel measurement and multivariate analysis of activity patterns. Over the past decade, the multivariate approach has gained significant momentum in vision research. Functional imaging and cell recording measure brain activity in fundamentally different ways, but they now use similar theoretical concepts and mathematical tools in their modeling and analyses. With a focus on the ventral processing stream thought to underlie object recognition, this book presents recent advances in our understanding of visual population codes, novel multivariate pattern-information analysis techniques, and the beginnings of a unified perspective for cell recording and functional imaging. It serves as an introduction, overview, and reference for scientists and students across disciplines who are interested in human and primate vision and, more generally, in understanding how the brain represents and processes information.
Author: Publisher: Academic Press ISBN: 0123973163 Category : Science Languages : en Pages : 2668
Book Description
Brain Mapping: A Comprehensive Reference, Three Volume Set offers foundational information for students and researchers across neuroscience. With over 300 articles and a media rich environment, this resource provides exhaustive coverage of the methods and systems involved in brain mapping, fully links the data to disease (presenting side by side maps of healthy and diseased brains for direct comparisons), and offers data sets and fully annotated color images. Each entry is built on a layered approach of the content – basic information for those new to the area and more detailed material for experienced readers. Edited and authored by the leading experts in the field, this work offers the most reputable, easily searchable content with cross referencing across articles, a one-stop reference for students, researchers and teaching faculty. Broad overview of neuroimaging concepts with applications across the neurosciences and biomedical research Fully annotated color images and videos for best comprehension of concepts Layered content for readers of different levels of expertise Easily searchable entries for quick access of reputable information Live reference links to ScienceDirect, Scopus and PubMed
Author: Elliot Murphy Publisher: Cambridge University Press ISBN: 1108836313 Category : Language Arts & Disciplines Languages : en Pages : 337
Book Description
Develops a theory of how language is processed in the brain and provides a state-of-the-art review of current neuroscientific debates.
Author: Rodrigo Quian Quiroga Publisher: CRC Press ISBN: 1439853304 Category : Medical Languages : en Pages : 643
Book Description
Understanding how populations of neurons encode information is the challenge faced by researchers in the field of neural coding. Focusing on the many mysteries and marvels of the mind has prompted a prominent team of experts in the field to put their heads together and fire up a book on the subject. Simply titled Principles of Neural Coding, this book covers the complexities of this discipline. It centers on some of the major developments in this area and presents a complete assessment of how neurons in the brain encode information. The book collaborators contribute various chapters that describe results in different systems (visual, auditory, somatosensory perception, etc.) and different species (monkeys, rats, humans, etc). Concentrating on the recording and analysis of the firing of single and multiple neurons, and the analysis and recording of other integrative measures of network activity and network states—such as local field potentials or current source densities—is the basis of the introductory chapters. Provides a comprehensive and interdisciplinary approach Describes topics of interest to a wide range of researchers The book then moves forward with the description of the principles of neural coding for different functions and in different species and concludes with theoretical and modeling works describing how information processing functions are implemented. The text not only contains the most important experimental findings, but gives an overview of the main methodological aspects for studying neural coding. In addition, the book describes alternative approaches based on simulations with neural networks and in silico modeling in this highly interdisciplinary topic. It can serve as an important reference to students and professionals.
Author: Anna Menini Publisher: CRC Press ISBN: 1420071998 Category : Science Languages : en Pages : 438
Book Description
Comprehensive Overview of Advances in OlfactionThe common belief is that human smell perception is much reduced compared with other mammals, so that whatever abilities are uncovered and investigated in animal research would have little significance for humans. However, new evidence from a variety of sources indicates this traditional view is likely
Author: Björn Schelter Publisher: John Wiley & Sons ISBN: 3527609512 Category : Science Languages : en Pages : 514
Book Description
This handbook provides an up-to-date survey of current research topics and applications of time series analysis methods written by leading experts in their fields. It covers recent developments in univariate as well as bivariate and multivariate time series analysis techniques ranging from physics' to life sciences' applications. Each chapter comprises both methodological aspects and applications to real world complex systems, such as the human brain or Earth's climate. Covering an exceptionally broad spectrum of topics, beginners, experts and practitioners who seek to understand the latest developments will profit from this handbook.
Author: György Buzsáki Publisher: Springer ISBN: 3319288024 Category : Medical Languages : en Pages : 181
Book Description
This book brings together leading investigators who represent various aspects of brain dynamics with the goal of presenting state-of-the-art current progress and address future developments. The individual chapters cover several fascinating facets of contemporary neuroscience from elementary computation of neurons, mesoscopic network oscillations, internally generated assembly sequences in the service of cognition, large-scale neuronal interactions within and across systems, the impact of sleep on cognition, memory, motor-sensory integration, spatial navigation, large-scale computation and consciousness. Each of these topics require appropriate levels of analyses with sufficiently high temporal and spatial resolution of neuronal activity in both local and global networks, supplemented by models and theories to explain how different levels of brain dynamics interact with each other and how the failure of such interactions results in neurologic and mental disease. While such complex questions cannot be answered exhaustively by a dozen or so chapters, this volume offers a nice synthesis of current thinking and work-in-progress on micro-, meso- and macro- dynamics of the brain.
Author: Kenneth William Latimer
Author: Kenneth William Latimer
Author: Nikolaus Kriegeskorte
Author: Gabriel Kreiman
Author: 
Author: Elliot Murphy
Author: Rodrigo Quian Quiroga
Author: Anna Menini
Author: Roberto Hornero
Author: Björn Schelter
Author: György Buzsáki