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Introduction: The Emerging Understanding of Lateral Interactions in the Cortex (1996)
Risto Miikkulainen
and
Joseph Sirosh
In the last few years, several new results on the structure, development, and functional role of lateral connectivity in the cortex have emerged. These results have led to a new understanding of the cortex as a continuously-adapting dynamic system shaped by competitive and cooperative lateral interactions. Many of the results and their interpretations are still controversial, and computational investigations can serve a pivotal role in establishing this new model. This book brings together eleven such investigations, each from a slightly different perspective and level aiming to explain what function the lateral interactions could play in the development and information processing in the cortex. In this introductory chapter, current neurobiological data on lateral interactions in the cortex are first briefly reviewed, and several open questions about their role in cortical information processing are presented. The other chapters in this book attempt to answer some of these questions in terms of specific mathematical and computational models. An overview of these chapters is given below, providing a roadmap for the rest of the book.
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Citation:
In Sirosh, J., Miikkulainen, R., and Choe, Y., editors,
Lateral Interactions in the Cortex: Structure and Function
, 1996. Electronic book, http://nn.cs.utexas.edu/web-pubs/htmlbook96.
Bibtex:
@book{miikkulainen:htmlbookintro96, title={Introduction: The Emerging Understanding of Lateral Interactions in the Cortex}, author={Risto Miikkulainen and Joseph Sirosh}, booktitle={Lateral Interactions in the Cortex: Structure and Function}, editor={Sirosh, J., Miikkulainen, R., and Choe, Y.}, note={Electronic book, http://nn.cs.utexas.edu/web-pubs/htmlbook96}, url="http://www.cs.utexas.edu/users/ai-lab/?miikkulainen:htmlbookintro96", year={1996} }
People
Risto Miikkulainen
Professor
risto@cs.utexas.edu
Joseph Sirosh
Ph.D. Student (Alumni)
joseph.sirosh@gmail.com
Areas of Interest
Computational Neuroscience
Visual Cortex
Cognitive Science
Unsupervised Learning, Clustering, and Self-Organization
Labs
Neural Networks