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The Metaphorical Brain 2: Neural Networks and Beyond

TLDR
Using metaphors to describe the brain, distributed interactions are depicted that underlie intelligence in the human, animal, or machine (robot) and basic ideas about neural networks are covered, both artificial and biological.
Abstract
From the Publisher: Shows how highly distributed cooperative computation deepens our understanding of the human mind/brain and catalyzes the development of computing machinery. Using metaphors to describe the brain, distributed interactions are depicted that underlie intelligence in the human, animal, or machine (robot). Covers basic ideas about neural networks, both artificial and biological. Models are provided to show how the brain works, and the schemas which mediate our perception, knowledge, and action.

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Book

Origins of the Modern Mind: Three Stages in the Evolution of Culture and Cognition

TL;DR: This book discusses the need for a theory of cognitive evolution as an emergent phenomenon culture as evidence for cognitive structure and the transition from episodic to mimetic culture, which is the missing link in human cognition without language.
Journal ArticleDOI

The computational brain: Patricia S. Churchland and Terrence J. Sejnowski (MIT Press, Cambridge, MA, 1992); xi, 544 pages, $39.95

TL;DR: The Computational Brain this paper provides a broad overview of neuroscience and computational theory, followed by a study of some of the most recent and sophisticated modeling work in the context of relevant neurobiological research.
Book

Large-Scale Neuronal Theories of the Brain

TL;DR: The first Large Scale Models of the Brain Workshop as discussed by the authors was held at a small and informal workshop held in December 1992 in Idyllwild, a relatively secluded resort village situated amid forests in the San Jacinto Mountains above Palm Springs in Southern California.
Book

Progress in Sensory Physiology

TL;DR: Plasticity in the Peripheral Somatosensory Nerve System and the Spinal Dorsal Horn (with Notes on Homologous Regions of the Trigeminal Nuclei).
Journal ArticleDOI

Modeling parietal-premotor interactions in primate control of grasping

TL;DR: The FARS model of the cortical involvement in grasping is presented, a model which focuses on the interaction between anterior intra-parietal area (AIP) and premotor area F5, and demonstrates not only that posterior parietal cortex is a network of interacting subsystems, but also that it functions through a pattern of "cooperative computation" with a multiplicity of other brain regions.