Download Evolutionary Cognitive Neuroscience by Steven M. Platek, Todd K. Shackelford PDF

By Steven M. Platek, Todd K. Shackelford

This e-book is an advent to the rising box of evolutionary cognitive neuroscience, a department of neuroscience that mixes the disciplines of evolutionary psychology and cognitive neuroscience. It outlines the appliance of cognitive neuroscientific tools (e.g., practical magnetic resonance imaging, transcranial magnetic stimulation, magneto- and electroencephalography, and using neuropsychiatric and neurosurgical sufferers) to reply to empirical questions posed from an evolutionary meta-theoretical standpoint. Chapters define the fundamentals of cognitive evolution and the way the tools of cognitive neuroscience will be hired to respond to questions on the presence of advanced cognitive diversifications. Written for graduate scholars and researchers, the e-book provides the foremost subject matters of analysis undertaken via evolutionary cognitive neuroscientists - resembling language evolution, intelligence and face processing - and serves as a primer upon which to base additional examine within the self-discipline.

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Let me now return to the question I raised at the start of this section, namely, whether these mentalizing capacities represent qualitative differences (in effect, are modular in the conventional sense) or quantitative (in other words, an emergent property of the scale at which certain fundamental cognitive processes can be brought to bear on a task). Either option is perfectly possible, since both in principle imply a requirement for additional wetware. Consequently, nothing about the relationships between brain volumes and social group size (or any other aspect of social behavior) allows us to discriminate between these two hypotheses.

B. (1980). The evolutionary synthesis: Perspectives on the unification of biology. Cambridge, MA: Harvard University Press. , & Mineka, S. (2001). Fears, phobias, and preparedness: Toward an evolved module of fear and fear learning. Psychological Review, 108, 483–522. , & Bloom, P. (1990). Natural language and natural selection. Behavioral and Brain Sciences, 13, 707–727. Platek, S. , Keenan, J. , & Mohamed, F. B. (2005). Sex differences in the neural correlates of child facial resemblance: An event-related fMRI study.

Second, evolutionary psychology does not measure individuals’ reproductive success or fitness and views this endeavor as fruitless. Because many sociobiologists have advocated measuring an individual’s reproductive success to understand the adaptive value of behavior, the pejorative label “baby counting” has been applied to sociobiology. Evolutionary psychology rejects the premise that measuring fitness in a recent or current environment provides any information about a particular behavior. The information needed to measure fitness correctly becomes known only generations later because there is no guarantee that selection pressures remain stable over time.

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