The search for mind-brain relationships, with a particular emphasis on distinguishing hyperbole from solid empirical results in brain imaging studies. Cognitive neuroscience explores the relationship between our minds and our brains, most recently by drawing on brain imaging techniques to align neural mechanisms with psychological processes. In Mind and Brain, William Uttal offers a critical review of cognitive neuroscience, examining both its history and modern developments in the field. He pays particular attention to the role of brain imaging--especially functional magnetic resonance imaging (fMRI)--in studying the mind-brain relationship. He argues that, despite the explosive growth of this new mode of research, there has been more hyperbole than critical analysis of what experimental outcomes really mean. With Mind and Brain, Uttal attempts a synoptic synthesis of this substantial body of scientific literature. Uttal considers psychological and behavioral concerns that can help guide the neuroscientific discussion; work done before the advent of imaging systems; and what brain imaging has brought to recent research. Cognitive neuroscience, Uttal argues, is truly both cognitive and neuroscientific. Both approaches are necessary and neither is sufficient to make sense of the greatest scientific issue of all: how the brain makes the mind.
... explores cross-cultural differences in the uptake (or lack thereof) of neurodiversity discourses in autism social ... as cultural practices used in individual and collective identity formation as well as social and political action.
The book is generously illustrated, including many images of thinkers who contributed to the field.
... movement initiated, and hence either subjects' judgements without TMS or their judgements with TMS were illusory. See H.C. Lau, RD. Rogers, and RE. Passingham 'Manipulating the experienced onset of intention after action execution', ...
This book traces the historical development of ideas about the brain and its function from antiquity to the age of neuro-imaging.
Weiland, Liu, and Humayun, 2005; Dowling, 2009. Appendix C. Content-Addressable Memory 1 . Rumelhart and McClelland, 1986; Hertz, Krogh, and Palmer, 1991; Churchland and Sejnowski, 1994. 2 . McClelland and Rumelhart, 1986; Lakoff, ...
The sophisticated computational tricks used in analyzing neuroimaging data come with equally sophisticated pitfalls. A University of California, Santa Barbara, postdoc named Craig Bennett shockingly illustrated this point by using ...
9 On the affective bases of retributive see, Joshua Greene, The Secret Joke of Kant's Soul, in Walter Sinnott-Armstrong, ed., 3 MORAL PSYCHOLOGY: THE NEUROSCIENCE OF MORALITY (M.I.T., in progress) available at ...
Caudell, T., Smith, S., Johnson, C. Wunsch, D. C. II., and Escobedo, R. (1991). An industrial application of neural networks to reusable design. Proceedings of the International Joint Conference on Neural Networks, Vol. 2.
Examples of these types of studies can be found in Bruel-Jungerman, Davis, Rampon, & Laroche (2006); Eriksson, Perfilieva, Njork-Eriksson, Alborn, Nordborg, & Peterson (1998); Kornack & Rakic (1999); Santarelli, Saxe, Gross, Surget, ...
Understanding how the brain learns helps teachers do their jobs more effectively. Primary researchers share the latest findings on the learning process and address their implications for educational theory and practice.