Seminar in real-time language comprehension. Models of sentence and discourse comprehension from the linguistic, psychology, and artificial intelligence literature, including symbolic and connectionist models. Ambiguity resolution. Linguistic complexity. The use of lexical, syntactic, semantic, pragmatic, contextual and prosodic information in language comprehension. The relationship between the computational resources available in working memory and the language processing mechanism. The psychological reality of linguistic representations.

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.

Welcome to the study of human growth and development, commonly referred to as the “womb to tomb” course because it is the story of our journeys from conception to death. Human development is the study of how we change over time.  Although this course is offered in psychology, this is a very interdisciplinary course. Psychologists, nutritionists, sociologists, anthropologists, educators, and health care professionals all contribute to our knowledge of life span.

Developmental Psychology, also known as Human Development or Lifespan Development, is the scientific study of ways in which people change, as well as stay the same, from conception to death. You will no doubt discover in the course of studying that the field examines change across a broad range of topics. These include physical and other psychophysiological processes, cognition, language, and psychosocial development, including the impact of family and peers.

Growth and development through the life span including physical, social, cognitive and neurological development. Topics covered included daycare, education, disabilities, parenting, types of families, gender identity and roles, career decisions, illnesses and treatments, aging, retirement, generativity, and dying.Login: guest_oclPassword: ocl

Core subject for students majoring in management science. Surveys individual and social psychology and organization theory interpreted in the context of the managerial environment. Laboratory involves projects of an applied nature in behavioral science. Emphasizes use of behavioral science research methods to test hypotheses concerning organizational behavior. Instruction and practice in communication include report writing, team decision-making, and oral and visual presentation. Twelve units may be applied to the General Institute Laboratory Requirement.

This course will consider the degree and nature of the modular organization of the mind and brain. We will focus in detail on the domains of objects, number, places, and people, drawing on evidence from behavioral studies in human infants, children, normal adults, neurological patients, and animals, as well as from studies using neural measures such as functional brain imaging and ERPs. With these domains as examples, we will address broader questions about the role of domain-general and domain-specific processing systems in mature human performance, the innateness vs. plasticity of encapsulated cognitive systems, the nature of the evidence for such systems, and the processes by which people link information flexibly across domains.

" This course is an examination of philosophical theories of action and motivation in the light of empirical findings from social psychology, sociology, and neuroscience. Topics include belief, desire, and moral motivation; sympathy and empathy; intentions and other committing states; strength of will and weakness of will; free will; addiction and compulsion; guilt, shame and regret; evil; self-knowledge and self-deception; and, virtues and character traits. This course is a CI-M course."

"This course is a survey of perceptual and cognitive aspects of the psychology of music, with special emphasis on underlying neuronal and neurocomputational representations and mechanisms. Basic perceptual dimensions of hearing (pitch, timbre, consonance/roughness, loudness, auditory grouping) form salient qualities, contrasts, patterns and streams that are used in music to convey melody, harmony, rhythm and separate voices. Perceptual, cognitive, and neurophysiological aspects of the temporal dimension of music (rhythm, timing, duration, temporal expectation) are explored. Special topics include comparative, evolutionary, and developmental psychology of music perception, biological vs. cultural influences, Gestaltist vs. associationist vs. schema-based theories, comparison of music and speech perception, parallels between music cognition and language, music and cortical action, and the neural basis of music performance."

Relationship between computer representation of knowledge and the structure of natural language. Emphasizes development of the analytical skills necessary to judge the computational implications of grammatical formalisms, and uses concrete examples to illustrate particular computational issues. Efficient parsing algorithms for context-free grammars; augmented transition network grammars. Question answering systems. Extensive laboratory work on building natural language processing systems. 6.863 is a laboratory-oriented course on the theory and practice of building computer systems for human language processing, with an emphasis on the linguistic, cognitive, and engineering foundations for understanding their design.

The course focuses on the problem of supervised learning within the framework of Statistical Learning Theory. It starts with a review of classical statistical techniques, including Regularization Theory in RKHS for multivariate function approximation from sparse data. Next, VC theory is discussed in detail and used to justify classification and regression techniques such as Regularization Networks and Support Vector Machines. Selected topics such as boosting, feature selection and multiclass classification will complete the theory part of the course. During the course we will examine applications of several learning techniques in areas such as computer vision, computer graphics, database search and time-series analysis and prediction. We will briefly discuss implications of learning theories for how the brain may learn from experience, focusing on the neurobiology of object recognition. We plan to emphasize hands-on applications and exercises, paralleling the rapidly increasing practical uses of the techniques described in the subject.

This course highlights the interplay between cellular and molecular storage mechanisms and the cognitive neuroscience of memory, with an emphasis on human and animal models of hippocampal mechanisms and function. Class sessions include lectures and discussion of papers.

Surveys general principles and specific examples of motor control in biological systems. Emphasizes the neural mechanisms underlying different aspects of movement and movement planning. Covers sensory reception, reflex arcs, spinal cord organization, pattern generators, muscle function, locomotion, eye movement, and cognitive aspects of motor control. Functions of central motor structures including cerebellum, basal ganglia, and cerebral cortex considered. Cortical plasticity, motor learning and computational approaches to motor control, and motor disorders are discussed.

Understanding the brain's remarkable ability for visual object recognition is one of the greatest challenges of brain research. The goal of this course is to provide an overview of key issues of object representation and to survey data from primate physiology and human fMRI that bear on those issues. Topics include the computational problems of object representation, the nature of object representations in the brain, the tolerance and selectivity of those representations, and the effects of attention and learning.

Neural structures and mechanisms mediating the detection, localization, and recognition of sounds. Discussion of how acoustic signals are coded by auditory neurons, the impact of these codes on behavorial performance, and the circuitry and cellular mechanisms underlying signal transformations. Topics include temporal coding, neural maps and feature detectors, learning and plasticity, and feedback control. General principles are conveyed by theme discussions of auditory masking, sound localization, musical pitch, speech coding, and cochlear implants, and auditory scene analysis.

Roles of neural plasticity in learning and memory and in development of invertebrates and mammals. An in-depth critical analysis of current literature of molecular, cellular, genetic, electrophysiological, and behavioral studies. Discussion of original papers supplemented by introductory lectures.

Lectures and discussions explore the clinical, behavioral, and molecular aspects of brain aging processes in humans. Topics include: loss of memory and other cognitive abilitites in normal aging; neurodegenerative conditions such as Parkinson's and Alzheimer's diseases. Based on lectures, readings taken from the primary literature, and discussions. Students are expected to present topics based on their readings. One written mid-term test and one final examination. Alternate years.

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 and dreaming, motivation and reward, emotional displays of various types, "higher functions" and the neocortex, and neural processes in learning and memory. In order to improve writing skills in describing experiments and critiquing published research in neuroscience, students are required to complete four homework assignments and one literature review with revision.

This resource was created for Introduction to Statistics students at the University of Maryland, and is designed to help you explore psychological theory, research, and practical applications of statistics. After completing this course in psychology, you will be able to:

- Explain how to use and interpret descriptive and inferential statistics in an ethically responsible way.
- Describe the difference between descriptive (central tendency, dispersion, correlation) and inferential statistics (single, multiple, logistic), and know when to use each.
- Demonstrate analytical skills by critiquing research and media claims.
- Apply statistical concepts and methods in a way that improves your own academic, personal, and professional life.

Each module is structured around key prompts - Learning Objective Questions - and followed by the links to articles, videos, and interactive demonstrations you will need to answer those questions. After studying the readings, videos, and presentations you should be able to answer the learning objective questions in detail without any notes in front of you. If you practice doing that regularly, you are well prepared for any assessment that your instructor can give you!

OpenPSYC was created by Drs. Scott Roberts, Ryan Curtis, and Dylan Selterman while at the University of Maryland to serve as a free alternative to a textbook for students in PSYC 100: Introduction to Psychology. It has been subsequently used and modified by their colleagues.

OpenPSYC is designed to help students explore psychological theory, research, and practical applications of psychological science. After completing this course in psychology, students will be able to:

- Explain patterns of thought and behavior in the context of psychological theories and provide scientific evidence to support their ideas.
- Describe the basic ethical principles that should guide scientific research on the thought and behavior of living organisms.
- Demonstrate analytical skills by critiquing psychological claims and designing valid research that could test their hypotheses.
- Apply psychological concepts and research findings in a way that improves their own academic, personal, and professional life.

Each module is structured around key prompts -- Learning Objective Questions -- and followed by links to the articles, videos, and interactive demonstrations students will need to answer those questions.