Biology and Philosophy 18 (1):13-40 (2003)
The philosophical innateness debate has long relied onpsychological evidence. For a century, however, a parallel debate hastaken place within neuroscience. In this paper, I consider theimplications of this neuroscience debate for the philosophicalinnateness debate. By combining the tools of theoretical neurobiologyand learning theory, I introduce the ``problem of development'' that alladaptive systems must solve, and suggest how responses to this problemcan demarcate a number of innateness proposals. From this perspective, Isuggest that the majority of natural systems are in fact innate. Lastly,I consider the acquistion strategies implemented by the human brain andsuggest that there is a rigorous way of characterizing these ``neuralconstructivist'' strategies as not being strongly innate. Alternatives toinnateness are thus both rigorously definable and empirically supported.
|Keywords||Brain Innateness Learning Neural Science|
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Citations of this work BETA
Why Neuroscience Matters to Cognitive Neuropsychology.Victoria McGeer - 2007 - Synthese 159 (3):347 - 371.
Modeling Developmental Cognitive Neuroscience.Gert Westermann, Sylvain Sirois, Thomas R. Shultz & Denis Mareschal - 2006 - Trends in Cognitive Sciences 10 (5):227-232.
Developmental Objections to Evolutionary Modularity.John Sarnecki - 2007 - Biology and Philosophy 22 (4):529-546.
What Computations Can't Do: Jerry Fodor on Computation and Modularity.Robert A. Wilson - 2004 - Canadian Journal of Philosophy 34 (sup1):407-425.
Neural Plasticity and the Limits of Scientific Knowledge.Pasha Parpia - 2015 - Dissertation, University of Sussex
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