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MIT: Minds and Machines

Minds and Machines

An introduction to philosophy of mind, exploring consciousness, reality, AI, and more. The most in-depth philosophy course available online.

MIT: Paradox and Infinity

Paradox and Infinity

This is a class about awe-inspiring issues at the intersection between philosophy and mathematics.

MIT: Biochemistry and Pharmacology of Synaptic Transmission

Biochemistry and Pharmacology of Synaptic Transmission

This course considers the process of neurotransmission, especially chemicals used in the brain and elsewhere to carry signals from nerve terminals to the structures they innervate. We focus on monoamine transmitters (acetylcholine; serotonin; dopamine and norepinephrine); we also examine amino acid and peptide transmitters and neuromodulators like adenosine. Macromolecules that mediate neurotransmitter synthesis, release, inactivation and receptor-mediated actions are discussed, as well as factors that regulate their activity and the second-messenger systems and ion fluxes that they control. The involvement of particular neurotransmitters in human diseases is considered.

MIT: Laboratory in Cognitive Science

Laboratory in Cognitive Science

Teaches principles of experimental methods in human perception and cognition, including design and statistical analysis. Combines lectures and hands-on experimental exercises; requires an independent experimental project. Some experience in programming desirable. To foster improved writing and presentation skills in conducting and critiquing research in cognitive science, students are required to provide reports and give oral presentations of three team experiments; a fourth individually conducted experiment includes a proposal with revision, and concluding written and oral reports.

MIT: Introduction to Computational Neuroscience

Introduction to Computational Neuroscience

This course gives a mathematical introduction to neural coding and dynamics. Topics include convolution, correlation, linear systems, game theory, signal detection theory, probability theory, information theory, and reinforcement learning. Applications to neural coding, focusing on the visual system are covered, as well as Hodgkin-Huxley and other related models of neural excitability, stochastic models of ion channels, cable theory, and models of synaptic transmission. Visit the Seung Lab Web site.

MIT: Cognitive Neuroscience

Cognitive Neuroscience

This course explores the cognitive and neural processes that support attention, vision, language, motor control, navigation, and memory. It introduces basic neuroanatomy, functional imaging techniques, and behavioral measures of cognition, and discusses methods by which inferences about the brain bases of cognition are made. We consider evidence from patients with neurological diseases (Alzheimer’s disease, Parkinson’s disease, Huntington’s disease, Balint’s syndrome, amnesia, and focal lesions from stroke) and from normal human participants.

MIT: Language and Mind

Language and Mind

This course will address some fundamental questions regarding human language: (1) how language is represented in our minds; (2) how language is acquired by children; (3) how language is processed by adults; (4) the relationship between language and thought; (5) exploring how language is represented and processed using brain imaging methods; and (6) computational modeling of human language acquisition and processing.

MIT: Studies in Poetry - British Poetry and the Sciences of the Mind

Studies in Poetry - British Poetry and the Sciences of the Mind

Do poems think? Recurrent images of the poet as an inspired lunatic, and of poetry as a fundamentally irrational art, have often fostered an understanding of poets and their work as generally extraneous to the work of the sciences. Yet poets have long reflected upon and have sought to embody in their work the most elementary processes of mind, and have frequently drawn for these representations on the very sciences to which they are thought to stand - and sometimes do genuinely stand - in opposition. Far from representing a mere departure from reason, then, the poem offers an image of the mind at work, an account of how minds work, a tool for eliciting thought in the reader or auditor. Bringing together readings in British poetry of the eighteenth and nineteenth centuries with writings from the emergent sciences of psychology and the physiology of the brain, this interdisciplinary course will explore the ways in which British poets, in years that witnessed the crucial development of these sciences, sought to capture an image of the mind at work. The primary aim of the course is to examine how several prominent genres of British poetry - the lyric, for instance, and the didactic poem - draw from and engage in this period with accounts of cognition within the sciences of psychology, physiology, and medicine. More broadly, the course aims to give undergraduates with some prior experience in the methods and topics of literary study an introduction to interdisciplinary humanistic research.

MIT: Marathon Moral Reasoning Laboratory

Marathon Moral Reasoning Laboratory

This seminar focuses on the cognitive science of moral reasoning. Philosophers debate how we decide which moral actions are permissible. Is it permissible to take one human life in order to save others? We have powerful and surprisingly rich and subtle intuitions to such questions. In this class, you will learn how intuitions can be studied using formal analytical paradigms and behavioral experiments. Thursday evening, meet to learn about recent advances in theories of moral reasoning. Overnight, formulate a hypothesis about the structure of moral reasoning and design a questionnaire-based experiment to test this. Friday, present and select 1-2 proposals and collect data; we will then reconvene to analyze and discuss results and implications for the structure of the moral mind. This course is offered during the Independent Activities Period (IAP), which is a special 4-week term at MIT that runs from the first week of January until the end of the month.

MIT: Statistics for Brain and Cognitive Science

Statistics for Brain and Cognitive Science

Provides students with the basic tools for analyzing experimental data, properly interpreting statistical reports in the literature, and reasoning under uncertain situations. Topics organized around three key theories: Probability, statistical, and the linear model. Probability theory covers axioms of probability, discrete and continuous probability models, law of large numbers, and the Central Limit Theorem. Statistical theory covers estimation, likelihood theory, Bayesian methods, bootstrap and other Monte Carlo methods, as well as hypothesis testing, confidence intervals, elementary design of experiments principles and goodness-of-fit. The linear model theory covers the simple regression model and the analysis of variance. Places equal emphasis on theory, data analyses, and simulation studies.

MIT: The Human Intelligence Enterprise

The Human Intelligence Enterprise

This course analyzes seminal work directed at the development of a computational understanding of human intelligence, such as work on learning, language, vision, event representation, commonsense reasoning, self reflection, story understanding, and analogy. It reviews visionary ideas of Turing, Minsky, and other influential thinkers and examines the implications of work on brain scanning, developmental psychology, and cognitive psychology. There is an emphasis on discussion and analysis of original papers; students taking the graduate version complete additional exercises and a substantial term project.

MIT: Lab in Psycholinguistics

Lab in Psycholinguistics

Hands-on experience designing, conducting, analyzing, and presenting experiments on the structure and processing of human language. Focuses on constructing, conducting, analyzing, and presenting an original and independent experimental project of publishable quality. Develops skills in reading and writing scientific research reports in cognitive science, including evaluating the methods section of a published paper, reading and understanding graphical displays and statistical claims about data, and evaluating theoretical claims based on experimental data. Instruction and practice in oral and written communication provided.

MIT: Abnormal Language

Abnormal Language

Introduction to the linguistic study of language pathology, concentrating on experimental approaches and theoretical explanations. Discussion of Specific Language Impairment, autism, Down syndrome, Williams syndrome, normal aging, Parkinson’s disease, Alzheimer’s disease, hemispherectomy and aphasia. Focuses on the comparison of linguistic abilities among these syndromes, while drawing clear comparisons with first and second language acquisition. Topics include the lexicon, morphology, syntax, semantics and pragmatics. Relates the lost linguistic abilities in these syndromes to properties of the brain.

MIT: Interdisciplinary Approaches to Musical Time

Interdisciplinary Approaches to Musical Time

This course is an interdisciplinary exploration of three broad topics concerning music in relation to time. Music as Architecture: the creation of musical shapes in time; Music as Memory: how musical understanding depends upon memory and reminiscence, with attention to analysis of musical structures; and Time as the Substance of Music: how different disciplines such as philosophy and neuroscience view the temporal dimension of musical processes and/or performances. Classroom discussion of these topics is complemented by three weekend concerts with pre-concert forums, jointly presented by the Boston Chamber Music Society (BCMS) and MIT Music & Theater Arts.

MIT: Transcribing Prosodic Structure of Spoken Utterances with ToBI

Transcribing Prosodic Structure of Spoken Utterances with ToBI

This course presents a tutorial on the ToBI (Tones and Break Indices) system, for labelling certain aspects of prosody in Mainstream American English (MAE-ToBI). The course is appropriate for undergrad or grad students with background in linguistics (phonology or phonetics), cognitive psychology (psycholinguistics), speech acoustics or music, who wish to learn about the prosody of speech, i.e. the intonation, rhythm, grouping and prominence patterns of spoken utterances, prosodic differences that signal meaning and phonetic implementation. Please submit any feedback about the course content using the user survey.

MIT: Language Acquisition

Language Acquisition

Covers the major results in the study of first language acquisition concentrating on the development of linguistic structure, including sentence structure and morphology. Universal aspects of development are discussed, as well as a variety of cross-linguistic phenomena. Theories of language learning are considered, including parameter-setting and maturation.

MIT: Laboratory in Visual Cognition

Laboratory in Visual Cognition

9.63 teaches principles of experimental methods in human perception and cognition, including design and statistical analysis. The course combines lectures and hands-on experimental exercises and requires an independent experimental project. Some experience in programming is desirable. To foster improved writing and presentation skills in conducting and critiquing research in cognitive science, students are required to provide reports and give oral presentations of three team experiments. A fourth individually conducted experiment includes a proposal with revision, and concluding written and oral reports.

MIT: Topics in Brain and Cognitive Sciences Human Ethology

Topics in Brain and Cognitive Sciences Human Ethology

Survey and special topics designed for students in Brain and Cognitive Sciences. Emphasizes ethological studies of natural behavior patterns and their analysis in laboratory work, with contributions from field biology (mammology, primatology), sociobiology, and comparative psychology. Stresses human behavior but also includes major contributions from studies of other animals.

MIT: Holographic Imaging

Holographic Imaging

MAS.450 is a laboratory course about holography and holographic imaging. This course teaches holography from a scientific and analytical point of view, moving from interference and diffraction to imaging of single points to the display of three-dimensional images. Using a “hands-on” approach, students explore the underlying physical phenomena that make holograms work, as well as designing laboratory setups to make their own images. The course also teaches mathematical techniques that allow the behavior of holography to be understood, predicted, and harnessed. Holography today brings together the fields of optics, chemistry, computer science, electrical engineering, visualization, three-dimensional display, and human perception in a unique and comprehensive way. As such, MAS.450 offers interesting and useful exposure to a wide range of principles and ideas. As a course satisfying the Institute Laboratory Requirement, MAS.450 teaches about science, scientific research, and the scientific method through observation and exploration, hinting at the excitement that inventors feel before they put their final equations to paper.

MIT: Principles of Autonomy and Decision Making

Principles of Autonomy and Decision Making

This course surveys a variety of reasoning, optimization and decision making methodologies for creating highly autonomous systems and decision support aids. The focus is on principles, algorithms, and their application, taken from the disciplines of artificial intelligence and operations research. Reasoning paradigms include logic and deduction, heuristic and constraint-based search, model-based reasoning, planning and execution, and machine learning. Optimization paradigms include linear programming, integer programming, and dynamic programming. Decision-making paradigms include decision theoretic planning, and Markov decision processes.

MIT: Minds and Machines

Minds and Machines

This course is an introduction to many of the central issues in a branch of philosophy called philosophy of mind.

MIT: Gödel, Escher, Bach

Gödel, Escher, Bach

How are math, art, music, and language intertwined? How does intelligent behavior arise from its component parts? Can computers think? Can brains compute? Douglas Hofstadter probes very cleverly at these questions and more in his Pulitzer Prize winning book, “Gödel, Escher, Bach”. In this seminar, we will read and discuss the book in depth, taking the time to solve its puzzles, appreciate the Bach pieces that inspired its dialogues, and discover its hidden tricks along the way.

MIT: Object and Face Recognition

Object and Face Recognition

Provides a comprehensive introduction to key issues and findings in object recognition in experimental, neural, computational, and applied domains. Emphasizes the problem of representation, exploring the issue of how 3-D objects should be encoded so as to efficiently recognize them from 2-D images. Second half focuses on face recognition, an ecologically important instance of the general object recognition problem. Describes experimental studies of human face recognition performance and recent attempts to mimic this ability in artificial computational systems.

MIT: Introduction to Neural Computation

Introduction to Neural Computation

This course introduces quantitative approaches to understanding brain and cognitive functions. Topics include mathematical description of neurons, the response of neurons to sensory stimuli, simple neuronal networks, statistical inference and decision making. It also covers foundational quantitative tools of data analysis in neuroscience: correlation, convolution, spectral analysis, principal components analysis, and mathematical concepts including simple differential equations and linear algebra.

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Computer Science136

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