​Cognitive, Computational and Systems Neuroscience Curriculum Pathway

CCSN.jpgRecent years have seen a blurring of the traditional lines between brain-related research in psychology, biology and engineering. To train the next generation of top-flight brain scientists, Washington University has developed an integrated curriculum that provides graduate students with the training and resources to become leaders in this new interdisciplinary science. 

The Cognitive, Computational and Systems Neuroscience Pathway (CCSN) is a specialized curriculum available to students pursuing a PhD in Neuroscience, Psychology or Biomedical Engineering at Washington University in St. Louis (including students in the Medical Scientist Training Program). The CCSN Pathway is not a separate degree-granting program, and CCSN students must fulfill all of the degree requirements of their home departments. 

The CCSN Pathway provides an integrated curriculum that is compatible with course scheduling constraints in the three degree-granting programs. The curriculum will be challenging and is designed to help students tackle problems using an interdisciplinary approach. 

The CCSN Pathway curriculum consists of three core and two advanced courses. 

Year One:

In the first year, each student takes three core courses: Neural Systems, Cognitive Psychology and Biological Neural Computation. This is a challenging load (in addition to program-specific requirements), but it is highly desirable to expose students to all three areas in the first year, as this will provide the foundation for the second year of tailored, integrative coursework. Options are available to spread out the coursework. In consultation with the CCSN Pathway Advising Committee, each student will develop a plan of coursework that best suits his or her individual needs. 

Year Two:

The second year of the CCSN curriculum consists of two semester-long courses: Advanced CCSN, which focuses on faculty-led case studies that involve tackling fundamental issues in neuroscience using an interdisciplinary approach, and CCSN Project Building, in which each student, in consultation with faculty, develops a research plan in his or her chosen area of interest. The culmination of this course is an NIH-style grant proposal that, for many students, will serve as a solid precursor to a thesis proposal. 

CCSN also provides a number of training opportunities beyond the core curriculum, including: 
  • intensive summer research opportunities bridging human and animal neuroscience;
  • rigorous training in theoretical neuroscience and the mathematics and statistics of experimental neuroscience;
  • public science outreach with the Saint Louis Science Center.

Washington University has received an Integrated Graduate Education and Research Training (IGERT) grant from the National Science Foundation (NSF) to support students in CCSN. Six two-year fellowships are available each year for U.S. citizens and residents. In addition, the McDonnell Center for Systems Neuroscience is funding a limited number of additional two-year fellowships for students who are not U.S. citizens or residents. Students apply for the IGERT/McDonnell fellowships during their first year of graduate school.  Successful applicants commit to completing the CCSN program. 

CCSN Summer Undergraduate Research Experience (C-SURE):

CCSN has established a summer undergraduate research program for students at Washington University. The program is described in this announcement and this application

Graduate students interested in the CCSN pathway can learn more about it by clicking below for course information and lists of the people involved with CCSN teaching and administration.

Undergraduates seeking to do research in CCSN-affiliated laboratories may also find the course instructor lists helpful. 

Information about other faculty with interests related to CCSN can be found at the web sites for the Neuroscience Program, Department of Biology, and Department of Biomedical Engineering.

CCSN Courses

Course: L33 (Psych) 5087
Title
: Cognitive Psychology Proseminar

Credit: 3 units
Description: An advanced introduction to core topics in cognitive psychology.
Topics to be covered include attention memory, problem-solving, imagery, categorization, action planning, and comprehension.
Prereq: Graduate Standing
Instructor: Jeff Zacks

Course: L41 (Bio) 5651
Title: Neural Systems
Credit: 4 units
Description: The course will consist of lectures and discussions of the sensory, motor and integrative systems of the brain and spinal cord, together with a weekly lab. The lectures will present aspects of most neural systems, and will be given by faculty members who have specific expertise on each topic. The discussions will include faculty-led group discussions and papers presented and discussed by students. The labs will include human brain dissections, examination of histological slides, physiological recordings, behavioral methods, computational modeling and functional neural imaging.
Intructor: Gregory DeAngelis

Course: E62 (BME) 572
Title: Biological Neural Computation
Credit: 1 - 3 units
Description: This course will consider the computations performed by biological nervous systems. Readings and discussions will investigate the biophysical and
physiological bases of computations made by ion channels, synapses, dendrites, neurons, and neuronal systems. Computer laboratories and a semester long independent project will determine how simple mathematical models succeed or fail to represent observed biological function and organismal behavior. Readings will include classic and current primary research papers.
***Note: Graduate students in psychology or neuroscience who are in the Cognitive, Computational, and Systems Neuroscience curriculum pathway may register for one credit. These students will attend all course meetings and complete the homework assignments, but will not participate in the semester long independent project. Registration may be pass/fail. All BME students should register for three credits.***
Prereqs for three-credit option: calculus, some experience with differential equations, and cell or systems biology. Junior and senior undergraduates need permission of instructor.
Prereqs for one-credit option: permission of instructor, calculus II, and introductory biology.
Instructor: Kurt Thoroughman

Course: L41 (Bio) 5619
Title: Advanced Cognitive, Computational and Systems Neuroscience
Credit: 3 units
Description: This course will develop critical thinking and analysis skills with regard to topics in Cognitive, Computational and Systems Neuroscience. Course format will be a series of modules composed of intensive, faculty-led case studies on interdisciplinary topics at the intersection of psychology, computation and neuroscience. The goal will be to highlight the benefits of integrative, interdisciplinary approaches, by delving into a small set of topics from a variety of perspectives, rather than providing a survey-level introduction to a broader set of topic areas. Modules will involve a combination of lectures and student-led discussion groups, with students further expected to
complete a multi-disciplinary integrative final review paper. Case-study topics will vary somewhat from year to year, but are likely to include some of the following: temporal coding as a mechanism for information processing, coordinate transformations in sensory-motor integration, mechanisms of cognitive control, motor control strategies including application to neural prosthetics, and memory systems in health and disease.
Instructor: Todd Braver

Course: L 41 (Bio) 5622
Title: Cognitive, Computational, and Systems Neuroscience Project Building
Credit: 3 units
Description: The goal of this course is to help students in the CCSN Pathway develop the critical thinking skills necessary to develop and implement high quality, interdisciplinary research projects. Throughout the course of the semester, each student will develop a research plan in their chosen area of interest. The plan will be developed in consultation with at least two faculty members (from at least two different subdisciplines within the pathway) as well as the other students and faculty participating in the course. The culmination of this course will be for each student to produce an NIH-style grant proposal on the research project of their choosing. For most students, this will serve either as their thesis proposal or a solid precursor to the thesis proposal. The course will be designed to help facilitate the development of such a research plan through didactic work, class presentations, class discussion, and constructive feedback on written work. The course will begin with a review of written examples of outstanding research proposals, primarily in the form of grant submissions similar to those that the students are expected to develop (i.e., NRSA style proposals, R03 proposals). Review of these proposals will serve as a stimulus to promote discussion about the critical elements of good research proposals and designs in different areas. Each student will be expected to give three presentations throughout the semester that will provide opportunities to receive constructive feedback on the development and implementation of research aims. The first presentation (towards the beginning of the semester) will involve presentation of the student's general topic of interest and preliminary formulation of research questions. Feedback will emphasize ways to focus and develop the research hypotheses into well-formulated questions and experiments. The second presentation will involve a more detailed presentation of specific research questions (along the lines of NIH-style Specific Aims) and an initial outline of research methods. The final presentation will involve a fuller presentation of research questions and proposed methods. Feedback, didactic work, and group discussion throughout the semester will include guidance on critical components of the development of a research plan, including how to perform literature searches, formulate testable hypotheses, write critical literature summaries, and design experiments and analyses. The course will meet once a week, with faculty members from different tracks within the Pathway present at each meeting. This will allow students to receive feedback from several perspectives.
Prereq: Member of CCSN Pathway, permission of instructor.
Instructor: Deanna Barch

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CCSN Administration

Executive Committee

      Steve Petersen
      Kurt Thoroughman
      Jeff Zacks
Steering Committee

      Alan Anticevic (student member)
      Dora Angelaki
      Dennis Barbour
      Deanna Barch
      Todd Braver
      Erik Herzog
      Kim McArthur (student member)
      Dan Moran
      Steve Petersen
      Larry Snyder
      Paul Stein
      Kurt Thoroughman
      David Van Essen
      Alexis Webb (student member)
      Jeff Zacks

 

CCSN Instructors

Biological Neural Computation
Kurt Thoroughman


Neural Systems
Dora Angelaki
Dennis Barbour
Andreas Burkhalter
David Dickman (course leader)
James Galvin
Robert Gereau
Erik Herzog
Dan Moran
Steve Petersen
Joel Price
Paul Shaw
Paul Stein
Larry Snyder
Tom Thach
Kurt Thoroughman
David Van Essen
Mark Warchol
Tom Woolsey

Cognitive Psychology
Mark McDaniel
Jeff Zacks

Advanced CCSN
Deanna Barch
Todd Braver (course leader)
Dora Angelaki
Dennis Barbour
David Dickman
Ian Dobbins
Dan Moran
Steve Petersen
Larry Snyder
Kurt Thoroughman
David Van Essen

Project Building
Richard Abrams
Dora Angelaki
Dave Balota
Dennis Barbour
Deanna Barch (course leader)
Todd Braver
Harold Burton
Maurizio Corbetta
Tim Holy
Dan Moran
Steve Petersen
Marc Raichle
Gordon Shulman
Larry Snyder
Kurt Thoroughman
David Van Essen
Jeff Zacks

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