A Review On Brain Computation As Hierarchical Abstraction
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A Review On Brain Computation As Hierarchical Abstraction
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Author : Bodo Herzog
language : en
Publisher:
Release Date : 2016
A Review On Brain Computation As Hierarchical Abstraction written by Bodo Herzog and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with categories.
Brain Computation As Hierarchical Abstraction
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Author : Dana H. Ballard
language : en
Publisher: MIT Press
Release Date : 2015-02-20
Brain Computation As Hierarchical Abstraction written by Dana H. Ballard and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-02-20 with Computers categories.
An argument that the complexities of brain function can be understood hierarchically, in terms of different levels of abstraction, as silicon computing is.
Brain Computation As Hierarchical Abstraction
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Author : Dana Harry Ballard
language : en
Publisher:
Release Date : 2015-02-20
Brain Computation As Hierarchical Abstraction written by Dana Harry Ballard and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-02-20 with Computers categories.
An argument that the complexities of brain function can be understood hierarchically, in terms of different levels of abstraction, as silicon computing is. 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 tools are essential for understanding brain function. Ballard shows that the hierarchical organization of the brain has many parallels with the hierarchical organization of computing; as in silicon computing, the complexities of brain computation can be dramatically simplified when its computation is factored into different levels of abstraction. Drawing on several decades of progress in computational neuroscience, together with recent results in Bayesian and reinforcement learning methodologies, Ballard factors the brain's principal computational issues in terms of their natural place in an overall hierarchy. Each of these factors leads to a fresh perspective. A neural level focuses on the basic forebrain functions and shows how processing demands dictate the extensive use of timing-based circuitry and an overall organization of tabular memories. An embodiment level organization works in reverse, making extensive use of multiplexing and on-demand processing to achieve fast parallel computation. An awareness level focuses on the brain's representations of emotion, attention and consciousness, showing that they can operate with great economy in the context of the neural and embodiment substrates.
The Brain Abstracted
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Author : M. Chirimuuta
language : en
Publisher: MIT Press
Release Date : 2024-03-05
The Brain Abstracted written by M. Chirimuuta and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-05 with Science categories.
Winner of the Nayef Al-Rodhan Book Prize from The Royal Institute of Philosophy An exciting, new framework for interpreting the philosophical significance of neuroscience. All science needs to simplify, but when the object of research is something as complicated as the brain, this challenge can stretch the limits of scientific possibility. In fact, in The Brain Abstracted, an avowedly “opinionated” history of neuroscience, M. Chirimuuta argues that, due to the brain’s complexity, neuroscientific theories have only captured partial truths—and “neurophilosophy” is unlikely to be achieved. Looking at the theory and practice of neuroscience, both past and present, Chirimuuta shows how the science has been shaped by the problem of brain complexity and the need, in science, to make things as simple as possible. From this history, Chirimuuta draws lessons for debates in philosophy of science over the limits and definition of science and in philosophy of mind over explanations of consciousness and the mind-body problem. The Brain Abstracted is the product of a historical rupture that has become visible in the twenty-first century, between the “classical” scientific approach, which seeks simple, intelligible principles underlying the manifest complexity of nature, and a data-driven engineering approach, which dispenses with the search for elegant, explanatory laws and models. In the space created by this rupture, Chirimuuta finds grounds for theoretical and practical humility. Her aim in The Brain Abstracted is not to reform neuroscience, or offer advice to neuroscientists, but rather to interpret their work—and to suggest a new framework for interpreting the philosophical significance of neuroscience.
Artificial Intelligence Theory And Applications
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Author : Endre Pap
language : en
Publisher: Springer Nature
Release Date : 2021-07-15
Artificial Intelligence Theory And Applications written by Endre Pap and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-15 with Technology & Engineering categories.
This book is an up-to-date collection, in AI and environmental research, related to the project ATLAS. AI is used for gaining an understanding of complex research phenomena in the environmental sciences, encompassing heterogeneous, noisy, inaccurate, uncertain, diverse spatio-temporal data and processes. The first part of the book covers new mathematics in the field of AI: aggregation functions with special classes such as triangular norms and copulas, pseudo-analysis, and the introduction to fuzzy systems and decision making. Generalizations of the Choquet integral with applications in decision making as CPT are presented. The second part of the book is devoted to AI in the geo-referenced air pollutants and meteorological data, image processing, machine learning, neural networks, swarm intelligence, robotics, mental well-being and data entry errors. The book is intended for researchers in AI and experts in environmental sciences as well as for Ph.D. students.
Emotion In The Mind And Body
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Author : Maital Neta
language : en
Publisher: Springer Nature
Release Date : 2019-11-18
Emotion In The Mind And Body written by Maital Neta and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-18 with Psychology categories.
As the 66th volume in the prestigious Nebraska Series on Motivation, this book focuses on understanding emotion and motivation as two factors that not only influence social and cognitive processes, but also shape the way we navigate our social world. Research on emotion has increased significantly over the past two decades, pulling from scholarship in psychology, neuroscience, medicine, political science, sociology, and even computer science. This volume is informed by the growing momentum in the resulting interdisciplinary field of affective science, and examines the role of emotion and motivation in our perceptions, decision-making, and social interactions, and attempts to understand the neurobiological mechanisms that support these processes across the lifespan in both healthy and clinical populations. Included among the chapters: Emotion concept development from childhood to adulthood Evolving psychological and neural models for the regulation of emotion Pathways to motivational impairments in psychopathology A valuation systems perspective on motivation Reproducible, generalizable brain models of affective processes Emotion in the Mind and Body is a comprehensive and compelling rendering of the current state of the interdisciplinary field of affective science, and will be of interest to researchers and students working in psychology and neuroscience, as well as medicine, political science, and sociology.
The Routledge Handbook Of The Computational Mind
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Author : Mark Sprevak
language : en
Publisher: Routledge
Release Date : 2018-09-04
The Routledge Handbook Of The Computational Mind written by Mark Sprevak and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-04 with Philosophy categories.
Computational approaches dominate contemporary cognitive science, promising a unified, scientific explanation of how the mind works. However, computational approaches raise major philosophical and scientific questions. In what sense is the mind computational? How do computational approaches explain perception, learning, and decision making? What kinds of challenges should computational approaches overcome to advance our understanding of mind, brain, and behaviour? The Routledge Handbook of the Computational Mind is an outstanding overview and exploration of these issues and the first philosophical collection of its kind. Comprising thirty-five chapters by an international team of contributors from different disciplines, the Handbook is organised into four parts: History and future prospects of computational approaches Types of computational approach Foundations and challenges of computational approaches Applications to specific parts of psychology. Essential reading for students and researchers in philosophy of mind, philosophy of psychology, and philosophy of science, The Routledge Handbook of the Computational Mind will also be of interest to those studying computational models in related subjects such as psychology, neuroscience, and computer science.
Gradient Expectations
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Author : Keith L. Downing
language : en
Publisher: MIT Press
Release Date : 2023-07-18
Gradient Expectations written by Keith L. Downing and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-18 with Computers categories.
An insightful investigation into the mechanisms underlying the predictive functions of neural networks—and their ability to chart a new path for AI. Prediction is a cognitive advantage like few others, inherently linked to our ability to survive and thrive. Our brains are awash in signals that embody prediction. Can we extend this capability more explicitly into synthetic neural networks to improve the function of AI and enhance its place in our world? Gradient Expectations is a bold effort by Keith L. Downing to map the origins and anatomy of natural and artificial neural networks to explore how, when designed as predictive modules, their components might serve as the basis for the simulated evolution of advanced neural network systems. Downing delves into the known neural architecture of the mammalian brain to illuminate the structure of predictive networks and determine more precisely how the ability to predict might have evolved from more primitive neural circuits. He then surveys past and present computational neural models that leverage predictive mechanisms with biological plausibility, identifying elements, such as gradients, that natural and artificial networks share. Behind well-founded predictions lie gradients, Downing finds, but of a different scope than those that belong to today’s deep learning. Digging into the connections between predictions and gradients, and their manifestation in the brain and neural networks, is one compelling example of how Downing enriches both our understanding of such relationships and their role in strengthening AI tools. Synthesizing critical research in neuroscience, cognitive science, and connectionism, Gradient Expectations offers unique depth and breadth of perspective on predictive neural-network models, including a grasp of predictive neural circuits that enables the integration of computational models of prediction with evolutionary algorithms.
Computational And Robotic Models Of The Hierarchical Organization Of Behavior
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Author : Gianluca Baldassarre
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-11-19
Computational And Robotic Models Of The Hierarchical Organization Of Behavior written by Gianluca Baldassarre 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 2013-11-19 with Computers categories.
Current robots and other artificial systems are typically able to accomplish only one single task. Overcoming this limitation requires the development of control architectures and learning algorithms that can support the acquisition and deployment of several different skills, which in turn seems to require a modular and hierarchical organization. In this way, different modules can acquire different skills without catastrophic interference, and higher-level components of the system can solve complex tasks by exploiting the skills encapsulated in the lower-level modules. While machine learning and robotics recognize the fundamental importance of the hierarchical organization of behavior for building robots that scale up to solve complex tasks, research in psychology and neuroscience shows increasing evidence that modularity and hierarchy are pivotal organization principles of behavior and of the brain. They might even lead to the cumulative acquisition of an ever-increasing number of skills, which seems to be a characteristic of mammals, and humans in particular. This book is a comprehensive overview of the state of the art on the modeling of the hierarchical organization of behavior in animals, and on its exploitation in robot controllers. The book perspective is highly interdisciplinary, featuring models belonging to all relevant areas, including machine learning, robotics, neural networks, and computational modeling in psychology and neuroscience. The book chapters review the authors' most recent contributions to the investigation of hierarchical behavior, and highlight the open questions and most promising research directions. As the contributing authors are among the pioneers carrying out fundamental work on this topic, the book covers the most important and topical issues in the field from a computationally informed, theoretically oriented perspective. The book will be of benefit to academic and industrial researchers and graduate students in related disciplines.
Intelligence In A Physical World
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Author :
language : en
Publisher: Academic Press
Release Date : 2025-06-01
Intelligence In A Physical World written by and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-01 with Psychology categories.
Volume 82 in The Psychology of Learning and Motivation series, the latest release in this ongoing series, features empirical and theoretical contributions in cognitive and experimental psychology, ranging from classical and instrumental conditioning, to complex learning and problem-solving. Chapters in this new release include the genetic and neuronal basis of animal architecture, adopting whole-brain computational modeling to investigate neurophysiological features, Dynamical and robotic modeling of brain motivational and decision-making systems, Attention and consciousness are one and the same, Hierarchical processing in the brain: Insights from predictive coding and its neural signatures, and much more.Additional sections cover Scratching the itch of "not knowing": Non-instrumental information-seeking in humans, How do emotions move us? Emotional influence can occur by changing perceivers' feelings, bodies, and inferences, Cultural bodybuilding: the embodied influence of culture on perception and action, and Beyond dyadic interaction and shared experience: rethinking social connections. - Presents the latest information in the highly regarded Psychology of Learning and Motivation series - Provides an essential reference for researchers and academics in cognitive science - Contains information relevant to both applied concerns and basic research