Connectionist Models of Neurocognition and Emergent Behavior


Book Description

Introduction / Eddy J. Davelaar -- An ecology-based approach to perceptual modelling / E.L. Byrne, D.P.A Corney and R.B. Lotto -- Early development of visual abilities / Alessio Plebe -- A dynamical neural simulation of feature-based attention and binding in a recurrent model of the ventral stream / D.G. Harrison and M. De Kamps -- Model selection for eye movements : assessing the role of attentional cues in infant learning / Daniel Yurovsky [und weitere] -- The importance of low spatial frequencies for categorization of emotional facial expressions / L. Lopez [und weitere] -- Modeling speech perception with restricted Boltzmann machines / Michael Klein, Louis ten Bosch and Lou Boves -- Early language as multimodal learning / Nadja Althaus and Denis Mareschal -- From Motherese to one-word and two-word child language : a multimodal temporal connectionist model / Abel Nyamapfene -- Learning the visual word code / T. Hannagan and J. Grainger -- What are the functional units in reading? Evidence for statistical variation influencing word processing / Alastair C. Smith and Padraic Monaghan -- Testing computational accounts of response congruency in lexical decision / Sebastian Loth and Colin J. Davis -- Sentence comprehension as mental simulation : an information-theoretic analysis and a connectionist model / Stefan L. Frank -- Modelling free recall - a combined activation-buffer and distributed-context model / Anat Elhalal and Marius Usher -- Inference, ontologies and the pump of thought / Andrzej Wichert -- Modelling correlations in "response inhibition" Richard P. Cooper and Eddy J. Davelaar -- A first approach to an artificial networked cognitive control system based on the shared circuits model of sociocognitive capacities / A. Sanchez Boza and R. Haber Guerra -- Digital typology modelling of cognitive abilities / Agnes Garletti -- Using enriched semantic representations in predictions of human brain activity / Joseph P. Levy and John A. Bullinaria -- Variability in the severity of developmental disorders : a neurocomputational account of developmental regression in autism / Michael SC Thomas, Victoria CP Knowland and Annette Karmiloff-Smith -- How do we use computational models of cognitive processes? / T. Stafford -- Some issues in computational modelling; Occam's razor and Hegel' hair gel / Richard Shillcock [und weitere] -- How is hair gel quantified? / Mark A. Pitt and Jay I. Myung -- What do humanoid robots offer to experimental psychology? / Jochen J. Steil




Neural Computation in Embodied Closed-Loop Systems for the Generation of Complex Behavior: From Biology to Technology


Book Description

How can neural and morphological computations be effectively combined and realized in embodied closed-loop systems (e.g., robots) such that they can become more like living creatures in their level of performance? Understanding this will lead to new technologies and a variety of applications. To tackle this research question, here, we bring together experts from different fields (including Biology, Computational Neuroscience, Robotics, and Artificial Intelligence) to share their recent findings and ideas and to update our research community. This eBook collects 17 cutting edge research articles, covering neural and morphological computations as well as the transfer of results to real world applications, like prosthesis and orthosis control and neuromorphic hardware implementation.




Neural-Symbolic Learning Systems


Book Description

Artificial Intelligence is concerned with producing devices that help or replace human beings in their daily activities. Neural-symbolic learning systems play a central role in this task by combining, and trying to benefit from, the advantages of both the neural and symbolic paradigms of artificial intelligence. This book provides a comprehensive introduction to the field of neural-symbolic learning systems, and an invaluable overview of the latest research issues in this area. It is divided into three sections, covering the main topics of neural-symbolic integration - theoretical advances in knowledge representation and learning, knowledge extraction from trained neural networks, and inconsistency handling in neural-symbolic systems. Each section provides a balance of theory and practice, giving the results of applications using real-world problems in areas such as DNA sequence analysis, power systems fault diagnosis, and software requirements specifications. Neural-Symbolic Learning Systems will be invaluable reading for researchers and graduate students in Engineering, Computing Science, Artificial Intelligence, Machine Learning and Neurocomputing. It will also be of interest to Intelligent Systems practitioners and anyone interested in applications of hybrid artificial intelligence systems.




Connectionist Models of Behaviour and Cognition II


Book Description

The neural computational approach to cognitive and psychological processes is relatively new. However, Neural Computation and Psychology Workshops (NCPW), first held 16 years ago, lie at the heart of this fast-moving discipline, thanks to its interdisciplinary nature ? bringing together researchers from different disciplines such as artificial intelligence, cognitive science, computer science, neurobiology, philosophy and psychology to discuss their work on models of cognitive processes.Once again, the Eleventh Neural Computation and Psychology Workshop (NCPW11), held in 2008 at the University of Oxford (England), reflects the interdisciplinary nature and wide range of backgrounds of this field. This volume is a collection of peer-reviewed contributions of most of the papers presented at NCPW11 by researchers from four continents and 15 countries.




Neural Engineering


Book Description

A synthesis of current approaches to adapting engineering tools to the study of neurobiological systems.




Neuroconstructivism: Perspectives and prospects


Book Description

What are the processes, from conception to adulthood, that enable a single cell to grow into a sentient adult? The processes that occur along the way are so complex that any attempt to understand development necessitates a multi-disciplinary approach, integrating data from cognitive studies, computational work, and neuroimaging - an approach till now seldom taken in the study of child development. Neuroconstructivism is a major new 2 volume publication that seeks to redress this balance, presenting an integrative new framework for considering development. Computer and robotic models provide concrete tools for investigating the processes and mechanisms involved in learning and development. Volume 2 illustrates the principles of 'Neuroconstructivist' development, with contributions from 9 different labs across the world. Each of the contributions illustrates how models play a central role in understanding development. The models presented include standard connectionist neural network models as well as multi-agent models. Also included are robotic models emphasizing the need to take embodiment and brain-system interactions seriously. A model of Autism and one of Specific Language Impairment also illustrate how atypical development can be understood in terms of the typical processes of development but operating under restricted conditions. This volume complements Volume 1 by providing concrete examples of how the 'Neuroconstructivist' principles can be grounded within a diverse range of domains, thereby shaping the research agenda in those domains.




Mind in Life


Book Description

How is life related to the mind? The question has long confounded philosophers and scientists, and it is this so-called explanatory gap between biological life and consciousness that Evan Thompson explores in Mind in Life. Thompson draws upon sources as diverse as molecular biology, evolutionary theory, artificial life, complex systems theory, neuroscience, psychology, Continental Phenomenology, and analytic philosophy to argue that mind and life are more continuous than has previously been accepted, and that current explanations do not adequately address the myriad facets of the biology and phenomenology of mind. Where there is life, Thompson argues, there is mind: life and mind share common principles of self-organization, and the self-organizing features of mind are an enriched version of the self-organizing features of life. Rather than trying to close the explanatory gap, Thompson marshals philosophical and scientific analyses to bring unprecedented insight to the nature of life and consciousness. This synthesis of phenomenology and biology helps make Mind in Life a vital and long-awaited addition to his landmark volume The Embodied Mind: Cognitive Science and Human Experience (coauthored with Eleanor Rosch and Francisco Varela). Endlessly interesting and accessible, Mind in Life is a groundbreaking addition to the fields of the theory of the mind, life science, and phenomenology.




Connectionism and Second Language Acquisition


Book Description

The latest title in the Cognitive Science and Second Language Acquisition Series presents a comprehensive review of connectionist research in second language acquisition (SLA). Second language researchers and the cognitive science community will find accessible discussions of the relevance of connectionist research to SLA. This important volume is key reading for any student or researcher interested in how second language acquisition can be better understood from a connectionist perspective.




Neuroconstructivism: How the brain constructs cognition


Book Description

What are the processes, from conception to adulthood, that enable a single cell to grow into a sentient adult? This work sets out a whole new framework for considering the complex topic of development, integrating data from cognitive studies, computational work, and neuroimaging.




The Cambridge Handbook of Research Methods in Clinical Psychology


Book Description

This book integrates philosophy of science, data acquisition methods, and statistical modeling techniques to present readers with a forward-thinking perspective on clinical science. It reviews modern research practices in clinical psychology that support the goals of psychological science, study designs that promote good research, and quantitative methods that can test specific scientific questions. It covers new themes in research including intensive longitudinal designs, neurobiology, developmental psychopathology, and advanced computational methods such as machine learning. Core chapters examine significant statistical topics, for example missing data, causality, meta-analysis, latent variable analysis, and dyadic data analysis. A balanced overview of observational and experimental designs is also supplied, including preclinical research and intervention science. This is a foundational resource that supports the methodological training of the current and future generations of clinical psychological scientists.