国际学生入学条件
Minimum requirements for admission to graduate study:
A bachelor's degree or recognized equivalent from an accredited institution.
Minimum GPA of 3.0.
Sufficient undergraduate training to undertake graduate work in the chosen field. This includes such undergraduate majors as: biological sciences, structural biology, physics, math, and chemistry. Laboratory experience is highly recommended.
GRE scores. We do not have set requirements for GRE scores. Outstanding GRE scores alone do not guarantee admission, nor do low scores disqualify an applicant. Three letters of recommendation, minimum (up to five are accepted): Letters of recommendation must be submitted online as part of the Graduate Division's application process. Letters are also due Nov 30, so please inform your recommenders of this deadline and give them sufficient advance notice. It is your responsibility to monitor the status of your letters of recommendation (sending prompts, as necessary) in the online system. Unofficial copies of all relevant transcripts, uploaded as part of the online application, Applicants are required to take the Graduate Record Examination and have their exam scores reported to the University. Top applicants who are being considered for admission will be invited to visit campus for interviews with faculty. If the applicant comes from a country or political entity (e.g., Quebec) where English is not the official language, adequate proficiency in English to do graduate work, as evidenced by a TOEFL score of at least 90 on the iBT test, 570 on the paper-and-pencil test, or an IELTS Band score of at least 7 on a 9-point scale (note that individual programs may set higher levels for any of these)
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雅思考试总分
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雅思考试指南
- 雅思总分:7
- 托福网考总分:90
- 托福笔试总分:570
- 其他语言考试:NA
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申请截止日期: 请与IDP顾问联系以获取详细信息。
课程简介
We can infer much about how a neural system functions by quantifying its output (behavior) in relation to its input (stimuli). But to completely understand a neural system, one must also have methods to measure its neural activity. Most such methods are invasive. However, invasive methods (1) alter the system that it sets out to measure, (2) often involve anesthesia that alters neural activity, (3) may inflict suffering on animals, and (4) usually cant be used to study humans. Non-invasive functional neuro-imaging, although lagging behind invasive methods in spatial and temporal resolution, are mostly devoid of these drawbacks, and therefore are extremely valuable in the study of neural systems.<br><br>Members of the Biophysics Group are involved in all aspects of development and practice in this exciting field. Groups with expertise in physics and chemistry are developing the technological hardware and software for methods such as electroencephalography (EEG), functional magnetic resonance imaging (fMRI), and positron emission tomography (PET). Others with expertise in computational modeling are developing methods of analysis for the large and complex data sets generated by neuro-imaging methods. Finally, we are applying these methods to study neural systems in sensory and cognitive processing in both animals and humans, and in both health and disease.
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