ANN - Artificial Neural Networks Artificial Neural Networks...

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Artificial Neural Networks Artificial Neural Networks
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2 Artificial Neural Networks x Connectionist, PDP, etc. models x A biologically-inspired approach for b intelligent computing machines b massive parallelism b distributed computing b learning, generalization, adaptivity b Tolerant of fault, uncertainty, imprecise info
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3 Von Neumann computer Biological neural systems Processor complex, high speed, few simple, low speed, many Memory separate from processor, non-content addressable integrated into processor, content addressable Computing centralized, sequential stored programs distributed, parallel self- learning Reliability vulnerable fault tolerant Compared to Von Neumann
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4 Anatomy and Pathway x Brain b Cerebrum h Frontal, parietal, temporal and occipital lobes b Cerebellum b Brainstem x Spinal Cord b Housed in vertebral column x Receptors to afferent neurons to brain (neocortex) to efferent neurons to effectors
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5 Central Nervous System
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6 CNS x Neocortex b Gray matter (surface layer of cerebrum) b White matter (connection fiber) b A crumbled paper analogy (folded and refolded many times to fit) b Regions (lobes) for different functions x It is the b Activities of neurons (resting or depolarization) b Topology of the connection
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This note was uploaded on 08/06/2008 for the course CS 290I taught by Professor Wang during the Spring '07 term at UCSB.

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ANN - Artificial Neural Networks Artificial Neural Networks...

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