Browsing Brain and Cognitive Sciences (9) - Archived by Subject "memory"
Now showing items 1-7 of 7
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9.01 Introduction to Neuroscience, Fall 2004
(2004-12)Relation of structure and function at various levels of neuronal integration. Topics include: functional neuroanatomy and neurophysiology, sensory and motor systems, centrally programmed behavior, sensory systems, sleep ... -
9.03 / 9.031 Neural Basis of Learning and Memory, Fall 2003
(2003-12)Topics in mammalian learning and memory including cellular mechanisms of neural plasticity, electrophysiology, and behavior. Emphasis on human and animal models of hippocampal mechanisms and function. Lectures and discussion ... -
9.03 Neural Basis of Learning and Memory, Fall 2001
(2001-12)Topics in mammalian learning and memory including cellular mechanisms of neural plasticity, electrophysiology, and behavior. Emphasis on human and animal models of hippocampal mechanisms and function. Lectures and discussion ... -
9.09J / 7.29J Cellular Neurobiology, Spring 2005
(2005-06)This course serves as an introduction to the structure and function of the nervous system. Emphasis is placed on the cellular properties of neurons and other excitable cells. Topics covered include the structure and ... -
9.10 / 9.100 Cognitive Neuroscience, Spring 2004
(2004-06)Course topics explore the relations between neural systems and cognition, emphasizing attention, vision, language, motor control, and memory. An introduction to basic neuroanatomy, functional imaging techniques, and ... -
9.10 Cognitive Neuroscience, Spring 2002
(2002-06)Explores the relations between neural systems and cognition, emphasizing attention, vision, language, motor control, and memory. Introduces basic neuroanatomy, functional imaging techniques, and behavioral measures of ... -
9.641J / 8.594J Introduction to Neural Networks, Fall 2002
(2002-12)Organization of synaptic connectivity as the basis of neural computation and learning. Single and multilayer perceptrons. Dynamical theories of recurrent networks: amplifiers, attractors, and hybrid computation. Backpropagation ...