Neuroscience Courses

Survival Skills for Graduate Students (web course created by Dr. Tutis Vilis) website

Neuroscience 9500. Principles of Neuroscience (full credit)
An integrated survey course covering the major principles of neuroscience, from the molecular events within neurons, through the functional architecture of the nervous system, to the relationship between brain and behaviour. This is mandatory for first year neuroscience students, who are required to enrol in this course at the beginning of their full-time enrolment. The course is team taught by members of the Neuroscience Program. Notes and study materials for each lecture are posted weekly on the course website. Students are graded on the basis of their performance on written essay-question examinations.

Neuro 9500 2009-2010 Schedule

Neuroscience 9510. Neuroscience Seminar Course (half credit)
A weekly series of talks by students and by invited experts in neuroscience from outside the university (about monthly). Students will be required to enroll in this course in each academic year of their full-time enrollment. In addition to attending the seminars, the course will include students presentations on either a) recent work of the forthcoming speaker (M.Sc. students) or b) present the rationale and preliminary results of their current research (M.Sc. and Ph.D students).

Student Seminar Schedule
Invited Speaker Schedule

Neuroscience 9506. Statistics for Neuroscience (half credit)
The goal is to provide our neuroscience graduate students with the opportunity to learn a common base of standard statistical techniques. The course will be different than Computational Neuroscience I, which is more focused on Matlab and data processing/analysis.

Neuroscience 9519. Computational Neuroscience I – Data Methods (half credit).
The goal of this one-semester graduate seminar is to provide students with skills in using Matlab for data analysis, and statistical analysis techniques for Neuroscience research. Students will build up a “toolbox” of useful computational techniques that they can use in their own research using Matlab. Instructor: Paul Gribble.

Neuroscience 9520. Computational Neuroscience II – models (half credit).
This one-semester course will focus on computational models of neural functioning at different levels - from single neurons to parallel distributed processing networks. Students will implement and critically evaluate computational models using terminals connected to a powerful computational workstation. Instructor: Paul Gribble.

Neuroscience 9600. Comprehensive Examination for Ph.D. candidates
The comprehensive examination will consist of an oral and a written component and will cover four distinct areas of Neuroscience which encompass the interests and career goals of the student. The areas and examiners will be recommended by the Advisory Committee and approved by the Program Committee. The examiners will define the scope of the area to the student, assign readings in each area, and be available for discussion periods with the student. An oral examination of approximately two hours will be conducted. The student must receive a pass. In the event of a failure, the exam may be repeated once. In the event of two consecutive failures, the student may be required to withdraw from the Program. After successful completion of the oral component, the student will take the written component which will consist of a four-hour written examination based on questions submitted by the oral examiners. To pass the written examination, an overall grade of "B" (70%) is required.

A student is permitted two attempts at the oral examination but only one attempt at the written component. If unsuccessful, the student will meet with the Advisory Committee to determine a course of action, which normally would involve withdrawal from the graduate program.

Neuroscience 9602 and 9603. Research Proposal for first and second Research Grant (half course each).
Students enrolled in the PhD program are required to write two research proposals styled on an NSERC or CIHR grant application. Lectures will be given on the preparation of such proposals. One proposal, to be completed in the first year, will be in the area of the student's thesis research. The second, to be completed later in the program, will be on an expanded and more in-depth version of the first grant, based on development of the research or review comments on the of the first proposal. Each of these proposals will be evaluated by two faculty members, acting as external grant assessors, and will be given a pass/fail grade. The Research Proposal will be in the research area of the student.

Optional Graduate Courses
The following neuroscience-related courses are offered by various departments, however, not always in the current academic year. You must contact each department to obtain information on courses currently being offered. This list is not exclusive. Additional courses may be included from other disciplines such as biochemistry, molecular biology, immunology, computer science, or mathematics.

Anatomy 9540 - Research Methods in Anatomy (website)
Anatomy 9541-9550 - Special Topics in Anatomy (including histochemistry)
Anatomy 9550 - Advanced Topics in Integrative Neuroscience
Biochemistry 524a - Membrane Biochemistry
Biophysics 561a - Bioelectrical Phenomena
Biostatistics 509a/b - Biostatistics 1
Pharmacology 562a - Principles of Pharmacology
Pharmacology 564a/b - Pharmacology of the Autonomic Nervous System
Pharmacology 566a/b - Biochemical Basis of Neuropharmacology
Pharmacology 567a/b - Applied Pharmacokinetics
Physiology 565b - Neurophysiology of Autonomic-Somatic Integration
Physiology 568b - Cellular and Molecular Neurobiology (website)
Psychology 500b - Hormones and Behaviour
Psychology 526b - Clinical Neuropsychology
Psychology 554b - Neuroimaging of Cognition (website)
Psychology 715y - Research Seminar in Psychobiology
Psychology 803a - Practicum in Clinical Neuropsychology II

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