Neurocomputational Perspective
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Scientific and Philosophical Perspectives in Neuroethics
Author: James J. Giordano
language: en
Publisher: Cambridge University Press
Release Date: 2010-02-18
While neuroscience has provided insights into the structure and function of nervous systems, hard questions remain about the nature of consciousness, mind, and self. Perhaps the most difficult questions involve the meaning of neuroscientific information, and how to pursue and utilize neuroscientific knowledge in ways that are consistent with some construal of social 'good'. Written for researchers and graduate students in neuroscience and bioethics, Scientific and Philosophical Perspectives in Neuroethics explores important developments in neuroscience and neurotechnology, and addresses the philosophical, ethical, and social issues and problems that such advancements generate. It examines three core questions. First, what is the scope and direction of neuroscientific inquiry? Second, how has progress to date affected scientific and philosophical ideas, and finally, what ethical issues and problems does this progress and knowledge incur, both now and in the future?
Thinking With Data
The chapters in Thinking With Data are based on presentations given at the 33rd Carnegie Symposium on Cognition. The Symposium was motivated by the confluence of three emerging trends: (1) the increasing need for people to think effectively with data at work, at school, and in everyday life, (2) the expanding technologies available to support people as they think with data, and (3) the growing scientific interest in understanding how people think with data. What is thinking with data? It is the set of cognitive processes used to identify, integrate, and communicate the information present in complex numerical, categorical, and graphical data. This book offers a multidisciplinary presentation of recent research on the topic. Contributors represent a variety of disciplines: cognitive and developmental psychology; math, science, and statistics education; and decision science. The methods applied in various chapters similarly reflect a scientific diversity, including qualitative and quantitative analysis, experimentation and classroom observation, computational modeling, and neuroimaging. Throughout the book, research results are presented in a way that connects with both learning theory and instructional application. The book is organized in three sections: Part I focuses on the concepts of uncertainty and variation and on how people understand these ideas in a variety of contexts. Part II focuses on how people work with data to understand its structure and draw conclusions from data either in terms of formal statistical analyses or informal assessments of evidence. Part III focuses on how people learn from data and how they use data to make decisions in daily and professional life.