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9 641J: Introduction to Neural Networks
3.00 Credits
Massachusetts Institute of Technology
Organization of synaptic connectivity as the basis of neural computation and learning. Single and multilayer perceptrons. Dynamical theories of recurrent networks: amplifiers, integrators, attractors, and hybrid computation. Backpropagation, Hebbian, and reinforcement learning. Models of perception, motor control, memory, and neural development.
Prerequisite:
Prereq: 9.29 or permission of instructor
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9 641J - Introduction to Neural Networks
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9 65: Cognitive Processes
3.00 Credits
Massachusetts Institute of Technology
Introduction to human information processing and learning. Topics include the nature of mental representation and processing, memory and learning, pattern recognition, attention, imagery and mental codes, concepts and prototypes, and reasoning and problem-solving.
Prerequisite:
Prereq: None. Coreq: 9.00
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9 65 - Cognitive Processes
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9 660: Computational Cognitive Science
3.00 Credits
Massachusetts Institute of Technology
Introduction to computational theories of human cognition. Focuses on principles of inductive learning and inference, and the representation of knowledge. Computational frameworks include Bayesian and hierarchical Bayesian models, probabilistic graphical models, nonparametric statistical models and the Bayesian Occam's razor, sampling algorithms for approximate learning and inference, and probabilistic models defined over structured representations such as first-order logic, grammars, or relational schemas. Applications to understanding core aspects of cognition, such as concept learning and categorization, causal reasoning, theory formation, language acquisition, and social inference. Graduate students complete a final project.
Prerequisite:
Prereq: Permission of instructor
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9 660 - Computational Cognitive Science
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9 66J: Computational Cognitive Science
3.00 Credits
Massachusetts Institute of Technology
No course description available.
Prerequisite:
Prereq: 9.07, 18.05, 6.041, or permission of instructor
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9 66J - Computational Cognitive Science
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9 675: The Development of Object and Face Recognition
3.00 Credits
Massachusetts Institute of Technology
Considers the developmental processes that potentially lead to the organization of 'blooming, buzzing confusions' into coherent visual objects. Examines key experimental results and computational proposals pertinent to the discovery of objects in complex visual inputs. Includes in-depth discussion of research articles. Limited to 15.
Prerequisite:
Prereq: 9.012 or permission of instructor
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9 675 - The Development of Object and Face Recognition
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9 68: Affect: Biological, Psychological, and Social Aspects of "Feelings"
2.00 Credits
Massachusetts Institute of Technology
Affect is to cognition and behavior as feeling is to thinking and acting or as values are to beliefs and practices. Considers these relations, both at the psychological level of organization and in terms of their neurobiological and sociocultural counterparts. In addition to attending weekly class sessions and doing regular homework assignments, students are required to participate in small study groups that meet for two hours per week.
Prerequisite:
Prereq: 9.00
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9 68 - Affect: Biological, Psychological, and Social Aspects of "Feelings"
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9 691: Introduction to Connectomics
3.00 Credits
Massachusetts Institute of Technology
Covers the emerging field of connectomics, with an emphasis on tools for high-throughput generation of data about neural connectivity. Topics include nanoscale imaging, including electron microscopy and sub-diffraction-limit fluorescence microscopy; nanoscale and microscale cutting; fluorescent and electron-dense staining; and image analysis algorithms. Case studies cover areas such as c. elegans, neuromuscular junction, retina, and cortex.
Prerequisite:
Prereq: None
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9 691 - Introduction to Connectomics
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9 70: Social Psychology
3.00 Credits
Massachusetts Institute of Technology
Examines interpersonal and group dynamics, considers how the thoughts, feelings, and actions of individuals are influenced by (and influence) the beliefs, values, and practices of large and small groups. Learning occurs through a combination of in-class activities complemented by participation in small study groups and completion of regular homework assignments. Also involves occasional lectures and demonstrations.
Prerequisite:
Prereq: None
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9 70 - Social Psychology
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9 71: Functional MRI Investigations of the Human Brain
3.00 Credits
Massachusetts Institute of Technology
Covers design and interpretation of fMRI experiments, and the relationship between fMRI and other techniques. Focuses on localization of cognitive function in the human brain. Students write papers and give presentations, explain and critique published papers, and design but do not conduct their own fMRI experiments. Upon completion, students should be able to understand and critique published fMRI papers and have a good grasp of what is known about localization of cognitive function from fMRI. Instruction and practice in written and oral communication provided. Limited to 12.
Prerequisite:
Prereq: 9.07; 9.34, 9.35, 9.65, 9.66, or permission of instructor
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9 71 - Functional MRI Investigations of the Human Brain
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9 75J: Psychology of Gender and Race
3.00 Credits
Massachusetts Institute of Technology
Examines evidence (and lack thereof) regarding when and how an individual's thoughts, feelings, and actions are affected by gender and race. Topics include gender and racial factors in identity development, cognition and emotion, achievement, stereotypes, physical and mental health, sexuality, close relationships, work, and violence. Limited to 20.
Prerequisite:
Prereq: None
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9 75J - Psychology of Gender and Race
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