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- D class assignments for undergraduates available in HNB120G; phone (213) 740-3800.
- D class assignments for graduate students available in AHF107G; phone (213) 740-5774.
- this URL into your web browser: dornsife.usc.edu/bisc/d-clearance-and-wait-list-information/ For D-Clearance and wait list information, please copy and paste
Sensory and motor systems to illustrate concepts regarding the functional organization of the brain, from microcircuitry of neural circuits to global processes such as perception. Prerequisite: BISC 421.
- Prerequisite: BISC 421
- Crosslist: This course is offered by the BISC department but may qualify for major credit in NEUR. To register, enroll in BISC 408.
- Note: Register for lecture and one discussion.
|13408D||001||Lecture||2:00-3:20pm||Mon, Wed||104 of 106||Sarah Bottjer,Bruce Yazejian||ZHS159||PDF (126015 KB)|
|13409R||001||Discussion||4:00-5:20pm||Monday||25 of 26||Jekaterina Zyuzin||VKC109|
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|13412R||001||Discussion||4:00-5:20pm||Thursday||25 of 27||Jekaterina Zyuzin||VKC256|
Introduction to the major components of cognition (perception, memory, intelligence) in terms of the neural coding characteristic of the relevant brain areas.
- Prerequisite: PSYC 100
- Crosslist: This course is offered by the PSYC department but may qualify for major credit in NEUR. To register, enroll in PSYC 440.
|52554R||001||Lecture||3:30-7:20pm||Thursday||74 of 77||Jason Zevin||ZHS352|
Students attend lectures of distinguished neuroscientists visiting USC and give short, chalk-talk presentations summarizing the lecture. The presentations are critiqued by the students. Not available for graduate credit. Prerequisite: BISC 220L or BISC 221L. Recommended preparation: BISC 421.
|47643D||001||Lecture||12:00-12:50pm||Thursday||9 of 20||Irving Biederman,Sarah Bottjer||HNB120|
An examination of the major components of cognition (e.g., perception, memory, intelligence) in terms of the neural coding characteristic of the relevant brain areas.
- Crosslist: This course is offered by the PSYC department but may qualify for major credit in NEUR. To register, enroll in PSYC 540.
|52695D||001||Lecture||2:00-5:50pm||Monday||3 of 15||Irving Biederman||HNB120||PDF (138438 KB)|
Introduction to computational modeling in neuroengineering, anchored in examples of brain function. Topics include transduction, synapses, spiking, networks, normalization, learning, Bayesian models, and Kalman filtering.
- Prerequisite: BME 502
- Crosslist: This course is offered by the BME department but may qualify for major credit in NEUR. To register, enroll in BME 575.
|29351D||048||Lecture-Lab||9:30-10:50am||Tue, Thu||10 of 21||Bartlett Mel||RTH105|
Introduce neural modelling, distributed artificial intelligence and robotics approaches to vision, motor control and memory.
- Crosslist: This course is offered by the CSCI department but may qualify for major credit in NEUR. To register, enroll in CSCI 564.
|30087D||048||Lecture||11:00-12:20pm||Tue, Thu||25 of 40||Michael Arbib||GFS207|