From the OED,

cognitive, a.
Add: b. Special collocations: cognitive science, the science of cognition or intelligence, the study of the cognitive processes involved in the acquisition and use of knowledge.

Stanford does not have a formal Cognitive Sciences program; however, many groups are involved partly or wholly in the Cognitive Sciences. First are the undergraduate interdisciplinary major of Symbolic Systems with its associated "Mind and Intelligence Focus" dorm, Arroyo, and the Center for the Study of Language and Information (CSLI), an independent research lab under H-Star within Stanford. Both of these draw people from many of the regular departments at Stanford.

Second are the related departments or programs within departments

• School of Humanities and Sciences
  • Art and Art History
    • Experimental Media Arts
  • Biology
    • Fernald Lab. Among other things understanding how social interactions among individuals produce specific changes in the brain.
  • Communication
  • Linguistics
  • Mathematics
  • Music
    • Center for Computer Research in Music and Acoustics (CCRMA)
  • Philosophy. Philosophy offers a special program in Symbolic Systems leading to a masters.
  • Psychology
    • Stanford Vision and Imaging Science and Technology (VISTA)
      • Vision Science (fMRI and psychophysics)
      • Stanford Institute for Reading and Learning
      • Programmable Digital Camera Project
      • Stanford High Level Vision Lab (aka Kalanit Grill Lab). Utilizing functional imaging (fMRI), computational techniques and behavioral methods to investigate visual object recognition and other high-level visual processes.
    • Cognation Research Laboratory aka Lera Boroditsky's lab. The citizens of cognation investigate the relationships between mind, world, and language. How do we construct knowledge from our experiences with the world? How do we use our knowledge to interpret new experiences? In what ways have languages and cultures allowed us to go beyond our innate capabilities and physical experiences to make us as smart as we are?
    • Stanford Memory Lab. Prof. Anthony Wagner. The ability to remember the past is critical for many levels of human behavior, from day-to-day behaviors, such as remembering to take medications or recognizing previously encountered people, places, and things, to other fundamental cognitive abilities, such as the development and use of language. Memory is central to who we are and how we behave, with knowledge about the past informing decisions about how to act in the present. Broadly, the objective of the research in the Stanford Memory Laboratory is to understand how memory is organized and supported by the mind and brain. A particular emphasis is placed on understanding the interaction between cognitive control and long-term memory, as well as on delineating the nature of "cross-talk" between different forms of memory (e.g., interactions between declarative and nondeclarative processes). In the course of these efforts, we further aim to characterize the functional contributions of prefrontal and medial temporal regions to learning and remembering.
    • Center for Infant Studies. Prof. Anne Fernald. Our research focuses on the origins of communication and language in infancy and early childhood. We are discovering how young children develop competence in understanding spoken language. We are also exploring the emergence of social awareness in infancy.
    • Culture and Emotion Lab. Jeanne Tsai. Our lab is interested in understanding the mechanisms by which cultural ideas and practices shape how people feel. Our research projects examine how culture shapes various affective phenomena (e.g., facial and verbal emotional expression, the affective states that people value [affect valuation], and the effects of psychopathology on emotional functioning) and the implications of cultural differences in affective phenomena for mental health. We use a variety of survey, interview, observational, experimental, and psychophysiological methods to examine these phenomena in groups in the United States and abroad. We aim to produce research and theory that broaden our current understandings of emotion and culture in ways that are both scientifically and clinically useful.
    • Life-span Development Lab. Prof. Laura Carstensen. Our research focuses on the social, emotional, and cognitive processes that people use to adapt to life circumstances as they age. Our group focuses specifically on motivation and emotional functioning. We study the ways in which motivation changes developmentally and how this relates to emotional processing and emotional regulation.
    • Stanford Learning Lab. Prof. Natasha Kirkham. The Learning Lab investigates the development of infants' and children's understanding of their perceptual and cognitive environment. Specifically, we are interested in early domain-general learning mechanisms that support later sophisticated knowledge. We study the development of statistical learning, spatial indexing, inhibition, and working memory.
    • Psychophysiology Lab. Prof. James Gross. The Stanford Psychophysiology Laboratory is a research laboratory designed for the study of emotion and emotion regulation. This laboratory is also a teaching laboratory, training advanced undergraduates, graduate students, postdoctoral fellows, and visiting scholars in the measurement and analysis of emotion and emotion regulation.
    • Symbiotic Project on Affective Neuroscience. Prof. Brian Knutson. We seek to understand the neural underpinnings of affective experience and expression. This endeavor necessarily involves characterization of both neuroanatomical circuits and neurochemical modulators. Our progress ultimately relies upon an informed symbiosis of psychological theory and neuroscience methods.
    • Cognitive Development Lab. Prof. Susan Johnson. We study how infants and children perceive and reason about the world--for example, what they understand about minds, numbers, and living things.
    • Ramscar Lab.
    • Cognitive Science Program (jointly with Computer Science, Linguistics, Philosophy, and the School of Education) leading to a doctorate.
  • Stanford Humanities Lab
    • MetaMedia at Stanford
  • Stanford Neuroeconomics Lab (in Economics). We study the neural basis of economic decision-making using fMRI, eye-tracking, and psychophysiology. We also study the applications of this knowledge to economic and policy analysis.
• School of Engineering
  • Civil Engineering
    • Center for Intergrated Facility Engineering
    • P^5 Based Learning Lab (Project/Product/Problem/People/Process)
  • Computer Science
    • Human Computer Interface group (HCI). Prof. Terry Winograd.
    • Knowledge System Lab
    • Formal Reasoning Group
    • Virtual Worlds Group
    Vladlen Koltun's group.
    • Stanford Robotics Laboratory
      • DAGS. Daphne Koller's group.
    • Stanford Computer Graphics Laboratory
    • Wearable Computers Lab
    • Database group.
      • Stanford Digital Libraries Project
    • Theory Group As theoretical computer scientists, we seek greater understanding of fundamental computational techniques and their inherent limitations. Research includes the development of new sequential and parallel algorithms, computational problems in databases, computational geometry, design and analysis of programs and programming languages, and supporting studies in combinatorial, logical, and algebraic mathematics.
    • Stanford Infolab
      • Stanford Movement Research Group
      • Natural Language Processing Lab
      • Project on People, Computers and Design.
      • Stanford Interactive Workspaces Project (iroom)
      • Software Infrastructures Group (SWIG)
  • Electrical Engineering
    • Information Systems Laboratory
      • Information Systems Networking Lab
      • Image, Video, and Multimedia Systems Group
    • Neural Prosthetic Systems Lab. Investigates the neural basis of sensorimotor integration and coordination using a combination of electrophysiological, behavioral, computational and theoretical techniques
  • Mechanical Engineering
    • Center for Design Research
    • Product Design Program leading to a BS or MS.
  • Management Science and Engineering
    • Center for Work, Technology & Organization
    • Operations Research
  • Stanford Technology Ventures Program
  • Institute for Computational and Mathematical Engineering.
  • Image Systems Engineering Program. A master's program in Engineering
  • Stanford Network Research Center.
• School of Education. Also includes programs in
  • Learning, Design and Technology leading to a masters
  • Symbolic Systems in Education leading to a PhD.
  • AAA Lab. Studies understanding and the ways that technology can facilitate its development.
• School of Medicine
  • Molecular and Cellular Physiology
    • Goodman Lab - We are interested in the neural and molecular mechanisms of mechanosensation and thermosensation.
  • Neuroscience Institute
  • Neurobiology
    • Thomas Clandinin Lab - My laboratory has two main interests. First, we would like to understand how genetically hard-wired mechanisms specify remarkably precise patterns of inter-neuronal connections during development. Second, using genetic approaches, we would like to functionally dissect the neuronal circuits that underlie visual processing tasks like flow-field motion detection, object approach and color perception. To address these questions, we use the fruit fly visual because it displays both an extremely precise pattern of neuronal connections and because it mediates a rich behavioral repertoire.
    • Dolmetsch lab. Molecular mechanisms of calcium channel signalling in the nervous and cardiovascular systems. Development of new technologies to investigate signalling cascades in intact animals and to investigate the functions of neuronal circuits in the brain.
    • Tirin Moore Lab - We study neural mechanisms of visual-motor integration and the neural basis of cognition (e.g. attention). We study the activity of single neurons in visual and motor structures within the primate brain, examine how perturbing that activity affects neurons in other brain structures, and also how it affects the perceptual and motor performance of behaving animals. Questions currently addressed by our group include: (1) How are the signals conveyed by visual cortical neurons used to guide eye movements? (2) How does oculomotor feedback affect processing in visual cortex? (3) What is the impact of planned movements on visual perception? (4) What are the neural circuits and neural computations that control selective attention? Our laboratory is also driven to develop more powerful approaches to systems-level neurobiological questions.
    • Newsome Lab. Understanding the neuronal processes that mediate visual perception and visually guided behavior.
  • Neurology and Neurological Sciences
    • Huguenard Lab. We are interested in the neuronal mechanisms that underlie synchronous oscillatory activity in the thalamus, cortex and the massively interconnected thalamocortical system. Such oscillations are related to cognitive processes, normal sleep activities and certain forms of epilepsy.
      Our approach is an analysis of the discrete components that make up thalamic and cortical circuits, and reconstitution of components into both in vitro biological and in silico computational networks. Accordingly, we have been able to identify genes whose products, mainly ion channels, play key roles in the regulation of thalamocortical network responses.
  • Psychiatry
    • Center for Interdisciplinary Brain Sciences Research (CIBSR).
    • Stanford Cognitive and Systems Neuroscience Laboraory - Our laboratory is dedicated to the investigation of brain function and dysfunction using a systems neuroscience approach. We use neuroimaging (fMRI, sMRI, DTI, and EEG) as well as behavioral, psychological and computational methods in our research. Various collaborative studies in our laboratory focus on the cognitive neuroscience of memory, attention, adaptive behavior, music and language, multisensory integration, and affective information processing. Across a wide range of studies, our overarching goal is (1) to better understand the integrated functioning of large-scale distributed brain networks and (2) to understand how disruptions in brain function and connectivity impact behavior.
  • Stanford Medical Informatics (SMI)
    • Knowledge Modeling Group. The group concentrates on the development of new software architectures that can facilitate the modeling of intelligent systems, including exploration of new approaches to the construction of domain ontologies, problem-solving methods, knowledge-acquisition tools, and advanced user interfaces. Although most of our application areas are medical (we are particularly interested in the development of knowledge-based systems that automate various aspects of protocol-based care), our approaches are independent of any particular domain.
    • Medical Information Interface Group. The main focus of this group is on user interfaces, especially pen and speech.
    • The Helix Group. Focuses on the application of computational techniques to problems in molecular biology. We are particularly interested in (1) knowledge-based systems for supporting scientific computation (2) the representation and manipulation of structural uncertainty, (3) and the development of novel representations of structure that are useful for computing.
  • Biomedical Informatics program leading to a MS or PhD degree.
• School of Business
  • Behavioral Lab under the Business School
• Independent Research Labs
  • Human-Sciences and Technologies Advanced Research Institute (H-Star)
  • Center for the Study of Language and Information (CSLI)
    • Computational Learning Lab. Pat Langley.
    • Computational Semantics Lab. Prof. Stanley Peters. A unifying theme in our research is an emphasis on the role of context in determining meaning. We are particularly interested in theoretical models of communication, language, dialogue, computation, and inference which take into account the context in which these activities are occurring.

      We are also interested in applying research results to practical applications and real-world problems. Current or recent projects have been in the areas of information retrieval, natural language processing, dialogue systems, machine translation, programming languages, and cooperating software agents.

    • Linguistics Grammars Online (LinGO)
    • Spoken Syntax Lab provides resources for collaborative work on syntax using multiple sources of evidence and modern statistical models. The Lab is developing repositories of aligned phonetic, parsed, and contextualized data as well as advanced search and analysis tools.
    • Openproof
    • Persuasive Technology Lab
    • Stanford Encyclopedia of Philosophy
  • Stanford Center for Innovations in Learning - SCIL
  • Stanford Institute for the Quantitative Study of Society (SIQSS)
  • Institute for International Studies
    • Knexus (not sure where the main web page is)
• Bio-X Initiative
• BioNexus. A student group under the Bio-X project
• Stanford Neurostudents. Another student group

Events

Information about Cognitive Science related events can be found in several locations.

• CSLI Calendar of Public Events. Published weekly during the Academic Year. You can subscribe to it by email.
• Local Events. A collection of pointers to individual department calendars or colloquia series.

Industrial Affiliates Programs

• Center for Intergrated Facility Engineering (for the departments of Computer Science and Civil and Environmental Engineering)
• Computer Science Forum
• Media-X (supercedes CSLI's Industrial Affiliate Program)

Cognitive Science Elsewhere in the Area

• Berkeley
  • Institute of Cognitive and Brain Sciences. See also their link to related Berkeley programs
  • Berkeley Brain Imaging Center labs
  • Helen Wills Neuroscience Institute
  • Berkeley Neurophilosophy Blog. Has a lot of links to Berkeley CogSci info.
• NASA Ames Research Center Human Factors Research and Technology Division
• NASA Ames Research Center Intelligent Systems Division.
• SRI Information and Computing Sciences Division