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The human brain is made up of 85 billion neurons, which are connected by over 100 trillion synapses. For more than a century, a diverse array of researchers searched for a language that could be used to capture the essence of what these neurons do and how they communicate – and how those communications create thoughts, perceptions and actions. The language they were looking for was mathematics, and we would not be able to understand the brain as we do today without it. In Models of the Mind, author and computational neuroscientist Grace Lindsay explains how mathematical models have allowed scientists to understand and describe many of the brain's processes, including decision-making, sensory processing, quantifying memory, and more. She introduces readers to the most important concepts in modern neuroscience, and highlights the tensions that arise when the abstract world of mathematical modelling collides with the messy details of biology. Each chapter of Models of the Mind focuses on mathematical tools that have been applied in a particular area of neuroscience, progressing from the simplest building block of the brain – the individual neuron – through to circuits of interacting neurons, whole brain areas and even the behaviours that brains command. In addition, Grace examines the history of the field, starting with experiments done on frog legs in the late eighteenth century and building to the large models of artificial neural networks that form the basis of modern artificial intelligence. Throughout, she reveals the value of using the elegant language of mathematics to describe the machinery of neuroscience.
In an effort to expand the clinical theory of psychoanalysis, John E. Gedo and Arnold Goldberg delineate and order the various generally accepted systems of psychological functioning, considered here as "models of the mind." The authors provide a historical review of four major models of the mind: the topographic model, the reflex arc model, the tripartite model, and an object relations model. They then investigate the possible hierarchical interrelationships of such models. Each model is shown to represent a different facet of mental functioning and is thus employable on an ad hoc basis. The models are shown not to cancel on another out but to allow for theoretical complementarity. Gedo and Goldberg apply their theory to four classic psychoanalytic case studies to demonstrate its effectiveness: Freud's Rat Man, his Wolf Man, the case of Daniel Paul Schreber, and a case of arrested development. For each of these cases the authors show how it would have been both possible and advantageous to apply a variety of different theories as facts about each continued to accumulate.
A. A. Long’s study of Greek notions of mind and human selfhood is anchored in questions of universal interest. What happens to us when we die? How is the mind or soul related to the body? Are we responsible for our own happiness? Can we achieve autonomy? Long shows that Greek thinkers’ modeling of the mind gave us metaphors that we still live by.
This book shows how computer models are used to study many psychological phenomena - including vision, language, reasoning, and learning.
The authors succeed in putting Freud's models of the mind into a historical and developmental framework and show the complexity of his thinking on the relationship between the conscious and unconscious mind.
This book presents the theory of threaded cognition, a theory that aims to explain the multitasking mind. The theory states that multitasking behavior can be expressed as cognitive threads-independent streams of thought that weave through the mind's processing resources to produce multitasking behavior, and sometimes experience conflicts to produce multitasking interference. Grounded in the ACT-R cognitive architecture, threaded cognition incorporates computational representations and mechanisms used to simulate and predict multitasking behavior and performance.
This new edition of Mind Models reintroduces and renews a classic work on 20th century composition, one that has remained relevant for over a quarter century -- and should remain a central reading for decades to come.
This book aims to understand human cognition and psychology through a comprehensive computational theory of the human mind, namely, a computational "cognitive architecture" (or more specifically, the Clarion cognitive architecture). The goal of this work is to develop a unified framework for understanding the human mind, and within the unified framework, to develop process-based, mechanistic explanations of a large variety of psychological phenomena. Specifically, the book first describes the essential Clarion framework and its cognitive-psychological justifications, then its computational instantiations, and finally its applications to capturing, simulating, and explaining various psychological phenomena and empirical data. The book shows how the models and simulations shed light on psychological mechanisms and processes through the lens of a unified framework. In fields ranging from cognitive science, to psychology, to artificial intelligence, and even to philosophy, researchers, graduate and undergraduate students, and practitioners of various kinds may have interest in topics covered by this book. The book may also be suitable for seminars or courses, at graduate or undergraduate levels, on cognitive architectures or cognitive modeling (i.e. computational psychology).
Recent neuroscience research makes it clear that human biology is cultural biology - we develop and live our lives in socially constructed worlds that vary widely in their structure values, and institutions. This integrative volume brings together interdisciplinary perspectives from the human, social, and biological sciences to explore culture, mind, and brain interactions and their impact on personal and societal issues. Contributors provide a fresh look at emerging concepts, models, and applications of the co-constitution of culture, mind, and brain. Chapters survey the latest theoretical and methodological insights alongside the challenges in this area, and describe how these new ideas are being applied in the sciences, humanities, arts, mental health, and everyday life. Readers will gain new appreciation of the ways in which our unique biology and cultural diversity shape behavior and experience, and our ongoing adaptation to a constantly changing world.
This volume contains ten papers describing various translation experiments using Translog and/or think-aloud methodology. Copenhagen Studies in Language volumes 36 (Looking at Eyes edited by Susanne Gopferich and Arnt Lykke Jakobsen) and 37 are two complementary volumes containing empirical studies by scholars working in the field of translation process research. Contributors include members of the EU Eye-to-IT project