A Computational Theory For Sensory Adaptation
DOWNLOAD
Download A Computational Theory For Sensory Adaptation PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get A Computational Theory For Sensory Adaptation book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
A Computational Theory For Sensory Adaptation
DOWNLOAD
Author : Alan Lap Fai Lee
language : en
Publisher:
Release Date : 2013
A Computational Theory For Sensory Adaptation written by Alan Lap Fai Lee and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with categories.
Our sensory system consists of multiple processing stages, and its response characteristics change based on recent stimulus history. Although much is known about both the hierarchical nature and the adaptability of the sensory system, it remains unclear how this multilevel neural system adapts to changes in the environment and leads to various perceptual consequences. In my dissertation, I focus on adaptation of the visual motion system. I aim to address the following questions: (I) Can the adaptation of the hierarchical motion system be studied at individual levels of processing? (II) How does the hierarchical motion system adapt and produce perceptual aftereffects? (III) What is the computational principle that underlies multilevel adaptation in the motion system? I designed a novel psychophysical paradigm to study how adaptation of individual levels of motion processing may contribute in producing various forms of perceptual aftereffects. My psychophysical findings suggest that perceptual aftereffects depend on the adaptation of multiple stages of processing, each may adapt based on its own computational principle. Finally, I used a multilayer network model to simultaneously explain different adaptation-induced neural changes that have been observed at different processing levels. Differences in neural adaptation at the local and the global levels of motion processing can be explained from a natural-statistics perceptive: neurons at different levels are holding different assumptions about natural sensory statistics, causing them to react differently in response to the same adapting environment. Taken together, findings from this dissertation illustrate the importance of understanding sensory adaptation from a hierarchical-processing perspective, which will shed more lights on the big picture of sensory processing.
Sensory Adaptation
DOWNLOAD
Author : Mehdi Adibi
language : en
Publisher: Frontiers Media SA
Release Date : 2022-01-27
Sensory Adaptation written by Mehdi Adibi and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-27 with Science categories.
A Theory Of Immediate Awareness
DOWNLOAD
Author : M. Estep
language : en
Publisher: Springer Science & Business Media
Release Date : 2003-05-31
A Theory Of Immediate Awareness written by M. Estep and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-05-31 with Computers categories.
This book presents a realist, multidisciplinary and interdisciplinary theory of immediate awareness showing it is the most primitive cognitive network underlying all our natural intelligence. Including preattentive and attention processes, as well as primitive relations of the senses, imagination and memory, immediate awareness is a kind of knowing deeply embedded and interwoven throughout our multiple kinds of natural intelligence. It permits as well as drives our knowing how, our bodily intelligence. Against the Cartesian mind-body split found in earlier and current theories, the author shows how immediate awareness permits emergent properties of mind in multilayered primitive relations of touching and moving in bodily kinesthetic intelligence. Contrary to existing theories, she argues that sensation is not cognitively "neutral", nor does it require a "representation" in order to be accessible to cognitive processes. Dr. Estep presents empirical evidence and arguments that sensation of immediate awareness is itself cognitive and embedded within our sensory and somatosensory-motor processes. The author's aim is to turn to a more geometric approach to natural intelligence, as opposed to the prevalent symbol-based view. In this approach, she uses random Boolean networks as a way of obtaining law-like properties of those primitive relations of immediate awareness in terms of dynamical systems theory. This demonstrates the properties of self-organization and adaptation of immediate awareness without committing one to a physicalist/materialist theory. It gives us a way of understanding core properties of our own inner conscious lives, and of understanding the smooth and seamless sensitivity of primitive sensory and somatosensory-motor awareness. Dr. Estep's theory of immediate awareness also shows that the computational view of mind is wrong. Though our minds do classify, classification is not all they do. Our immediate awareness indexically selects sui generis objects that are unique and of no kind or class. The influence of nominalism and narrow naturalist theories have resulted in extremely narrow concepts of the human knowing mind and intelligence, leaving out immediate awareness altogether. We slip into subtle nominalist fallacies when we take our language metaphors – and language itself – too far.
Statistical Inference In Multisensory Perception And Learning
DOWNLOAD
Author : David R. Wozny
language : en
Publisher:
Release Date : 2009
Statistical Inference In Multisensory Perception And Learning written by David R. Wozny and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Intersensory effects categories.
"This dissertation investigates the computational principles that govern multisensory processing. Multisensory processing is ubiquitous within the human nervous system, as we are constantly subjected to multiple sensations at any given moment. The human observer provides an excellent model system to investigate how to intelligently process streams of information from multiple sensory channels. Equally important components of multisensory processing are deciding 1.) what signals come from disparate sources and should be processed independently, and 2.) what signals come from a common source and should be integrated. If the signals are to be integrated, the subsequent problem is determining how the information should be integrated to improve performance. I aim to further the development of a unified computational theory that can explain these critical components of multisensory processing. The computational theories in this dissertation are tested against human performance in perceptual experiments. First, I investigate if there is a general principle that can account for processing sensory information across the three modalities of vision, audition, and touch. The findings of the experiment demonstrate that multisensory processing across three modalities can be well characterized by a Bayesian model of perception that does not a priori assume that the sensory signals are caused by the same source. The second group of experiments investigates the process of localizing auditory and visual stimuli in space. I was specifically interested in how Bayesian models of sensory processing characterize forms of multisensory recalibration. The results support an adaptation model where small consistent crossmodal deviations are likely to be attributed to sensory errors and the likelihood of sensory encoding is recalibrated, while larger inconsistent errors can be attributed to the causal structure of the environment. I also investigate the strategy used for perceptual decision making in spatial localization task. The results show that the majority of observers' responses are best characterized by a probability matching strategy as opposed to a commonly assumed strategy of minimizing the mean squared error. Our results demonstrate that under certain conditions, perceptual judgments can be subjected to similar heuristics that are more commonly observed in cognitive decision making, and underscore the importance of considering alternative objectives when evaluating perceptual performance."--Abstract.
The Cognitive Neurosciences Fifth Edition
DOWNLOAD
Author : Michael S. Gazzaniga
language : en
Publisher: MIT Press
Release Date : 2014-10-24
The Cognitive Neurosciences Fifth Edition written by Michael S. Gazzaniga and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-10-24 with Science categories.
The fifth edition of a work that defines the field of cognitive neuroscience, with entirely new material that reflects recent advances in the field. Each edition of this classic reference has proved to be a benchmark in the developing field of cognitive neuroscience. The fifth edition of The Cognitive Neurosciences continues to chart new directions in the study of the biological underpinnings of complex cognition—the relationship between the structural and physiological mechanisms of the nervous system and the psychological reality of the mind. It offers entirely new material, reflecting recent advances in the field. Many of the developments in cognitive neuroscience have been shaped by the introduction of novel tools and methodologies, and a new section is devoted to methods that promise to guide the field into the future—from sophisticated models of causality in brain function to the application of network theory to massive data sets. Another new section treats neuroscience and society, considering some of the moral and political quandaries posed by current neuroscientific methods. Other sections describe, among other things, new research that draws on developmental imaging to study the changing structure and function of the brain over the lifespan; progress in establishing increasingly precise models of memory; research that confirms the study of emotion and social cognition as a core area in cognitive neuroscience; and new findings that cast doubt on the so-called neural correlates of consciousness.
Adaptation And The Chemical Theory Of Sensory Response
DOWNLOAD
Author : Leonard Thompson Troland
language : en
Publisher:
Release Date : 1914
Adaptation And The Chemical Theory Of Sensory Response written by Leonard Thompson Troland and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1914 with Metabolism categories.
Computational Theories And Their Implementation In The Brain
DOWNLOAD
Author : Lucia Vaina
language : en
Publisher: Oxford University Press
Release Date : 2017
Computational Theories And Their Implementation In The Brain written by Lucia Vaina and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with Medical categories.
David Marr is known for his research on the brain in the late 60s and 70s, becoming one of the main founders of Computational Neuroscience when neuroscience was in its infancy. Written by distinguished contributors, this book evaluates the extent to which his theories are still valid and identifies areas that need to be altered.
Computational Models Of Brain And Behavior
DOWNLOAD
Author : Ahmed A. Moustafa
language : en
Publisher: John Wiley & Sons
Release Date : 2017-09-11
Computational Models Of Brain And Behavior written by Ahmed A. Moustafa and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-11 with Psychology categories.
A comprehensive Introduction to the world of brain and behavior computational models This book provides a broad collection of articles covering different aspects of computational modeling efforts in psychology and neuroscience. Specifically, it discusses models that span different brain regions (hippocampus, amygdala, basal ganglia, visual cortex), different species (humans, rats, fruit flies), and different modeling methods (neural network, Bayesian, reinforcement learning, data fitting, and Hodgkin-Huxley models, among others). Computational Models of Brain and Behavior is divided into four sections: (a) Models of brain disorders; (b) Neural models of behavioral processes; (c) Models of neural processes, brain regions and neurotransmitters, and (d) Neural modeling approaches. It provides in-depth coverage of models of psychiatric disorders, including depression, posttraumatic stress disorder (PTSD), schizophrenia, and dyslexia; models of neurological disorders, including Alzheimer’s disease, Parkinson’s disease, and epilepsy; early sensory and perceptual processes; models of olfaction; higher/systems level models and low-level models; Pavlovian and instrumental conditioning; linking information theory to neurobiology; and more. Covers computational approximations to intellectual disability in down syndrome Discusses computational models of pharmacological and immunological treatment in Alzheimer's disease Examines neural circuit models of serotonergic system (from microcircuits to cognition) Educates on information theory, memory, prediction, and timing in associative learning Computational Models of Brain and Behavior is written for advanced undergraduate, Master's and PhD-level students—as well as researchers involved in computational neuroscience modeling research.
Adaptation Level Theory An Experimental And Systematic Approach To Behavior
DOWNLOAD
Author : Harry Helson
language : en
Publisher:
Release Date : 1964
Adaptation Level Theory An Experimental And Systematic Approach To Behavior written by Harry Helson and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1964 with Adaptability (Psychology) categories.
The Computational Theory Of Mind
DOWNLOAD
Author : Matteo Colombo
language : en
Publisher: Cambridge University Press
Release Date : 2023-11-29
The Computational Theory Of Mind written by Matteo Colombo and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-29 with Philosophy categories.
The Computational Theory of Mind says that the mind is a computing system. It has a long history going back to the idea that thought is a kind of computation. Its modern incarnation relies on analogies with contemporary computing technology and the use of computational models. It comes in many versions, some more plausible than others. This Element supports the theory primarily by its contribution to solving the mind-body problem, its ability to explain mental phenomena, and the success of computational modelling and artificial intelligence. To be turned into an adequate theory, it needs to be made compatible with the tractability of cognition, the situatedness and dynamical aspects of the mind, the way the brain works, intentionality, and consciousness.