Behavioral and Brain Sciences 20 (4):537-556 (1997)
|Abstract||How do minds emerge from developing brains? According to the representational features of cortex are built from the dynamic interaction between neural growth mechanisms and environmentally derived neural activity. Contrary to popular selectionist models that emphasize regressive mechanisms, the neurobiological evidence suggests that this growth is a progressive increase in the representational properties of cortex. The interaction between the environment and neural growth results in a flexible type of learning: minimizes the need for prespecification in accordance with recent neurobiological evidence that the developing cerebral cortex is largely free of domain-specific structure. Instead, the representational properties of cortex are built by the nature of the problem domain confronting it. This uniquely powerful and general learning strategy undermines the central assumption of classical learnability theory, that the learning properties of a system can be deduced from a fixed computational architecture. Neural constructivism suggests that the evolutionary emergence of neocortex in mammals is a progression toward more flexible representational structures, in contrast to the popular view of cortical evolution as an increase in innate, specialized circuits. Human cortical postnatal development is also more extensive and protracted than generally supposed, suggesting that cortex has evolved so as to maximize the capacity of environmental structure to shape its structure and function through constructive learning|
|Keywords||cognitive development constructivism evolution learnability mathematical learning theory neural development selectionism|
|Categories||categorize this paper)|
|Through your library||Configure|
Similar books and articles
Brian J. Scholl (1997). Neural Constraints on Cognitive Modularity? Behavioral and Brain Sciences 20 (4):575-576.
Peter D. Eimas (2000). Infant Perception and Cognition and the Initial Architecture of Constructivist Models. Behavioral and Brain Sciences 23 (5):782-783.
James E. Black & William T. Greenough (1997). How to Build a Brain: Multiple Memory Systems Have Evolved and Only Some of Them Are Constructivist. Behavioral and Brain Sciences 20 (4):558-559.
Enrico Blanzieri (1997). Dynamical Learning Algorithms for Neural Networks and Neural Constructivism. Behavioral and Brain Sciences 20 (4):559-559.
W. D. Christensen & C. A. Hooker (2000). An Interactivist-Constructivist Approach to Intelligence: Self-Directed Anticipative Learning. Philosophical Psychology 13 (1):5 – 45.
Steven R. Quartz & T. J. Sejnowski (1997). Controversies and Issues in Developmental Theories of Mind: Some Constructive Remarks. Behavioral and Brain Sciences 20 (4):578-588.
Andreas Demetriou (2000). From Neural Constructivism to Cognitive Constructivism: The Steps to Be Taken. Behavioral and Brain Sciences 23 (5):781-782.
Denis Mareschal & Thomas R. Shultz (1997). From Neural Constructivism to Children's Cognitive Development: Bridging the Gap. Behavioral and Brain Sciences 20 (4):571-572.
Johan J. Bolhuis (1997). Learning, Development, and Synaptic Plasticity: The Avian Connection. Behavioral and Brain Sciences 20 (4):559-560.
M. E. J. Raijmakers (1997). Is the Learning Paradox Resolved? Behavioral and Brain Sciences 20 (4):573-574.
Added to index2009-01-28
Total downloads35 ( #39,202 of 722,765 )
Recent downloads (6 months)1 ( #60,247 of 722,765 )
How can I increase my downloads?