Jonathan Flynn

BrainSTEM is a service organization that teaches STEM subjects through the lens of neuroscience. We perform hands-on, small-group activities approximately 150 K12 students per week at several local schools. This course will prepare you to communicate science in a both effective and entertaining manner, as well as build your skills in managing small groups. More information can be found at ‘www.brainstem.rice.edu.’ Cross-list: BIOS 528. Mutually Exclusive: Cannot register for BIOS 128 if student has credit for BIOS 528. Repeatable for Credit.

Undergraduate teaching in a biosciences laboratory course: provide group and individual guidance and instruction to students during scheduled laboratory sessions and outside of laboratory classes; participate in meetings with instructor and other TAs; assist instructor with lab prep; evaluate student learning and give feedback to instructor. Repeatable for Credit.

In this course, undergraduates who have previously excelled in a BIOS course will develop teaching skills by leading discussion sections or serving as writing mentors under the guidance of the course instructor. Repeatable for Credit.

Independent research in Rice BioSciences faculty laboratories (sections 2 and above) or other Texas Medical Center laboratories (section 1). Students must have secured a research position prior to applying for BIOS 310. Students spend at least 42 hours in the laboratory for each semester hour of credit (>9h/week for 3 credits). A minimum of 3 credit hours is needed to count toward the BS in Biosciences or to replace one required 300+ level elective lab course for the BA in Biosciences (cannot replace major concentration core labs). Requires a proposal abstract, weekly reports, and a research paper (fall/spring/summer) or a poster presentation (spring/summer for advanced students). Students wishing to perform their research in an off-campus lab must apply online (biosugresearch.rice.edu) at least 3 weeks prior to the start of classes and may not register for fewer than 3 credit hours. Students taking BIOS 310 in the full summer semester must be available to do full-time research for a minimum of 6 weeks or part-time equivalent which should equal to a total of 126 hours working in the lab. It is recommended that summer students spread their hours over 8-10 weeks. Recommended Prerequisite(s): Students are strongly advised to secure research advisors and register for the class well in advance of the start of classes. Recommended Prerequisite(s): Students are strongly advised to secure research advisors and register for the class well in advance of the start of classes. Repeatable for Credit.

Students will explore the molecular properties of neurons and related cells using standard techniques in the field. Lessons will include a brief lectures and discussions on fundamental principles within cellular and molecular neuroscience, as well as basic image analysis for microscopy. Not available to students who have previously taken BIOS 417

BrainSTEM is a service organization that teaches STEM subjects through the lens of neuroscience. We perform hands-on, small-group activities with ~45 students per week. This course will prepare you to communicate science in a both effective and entertaining manner, as well as build your skills in managing small groups. More information can be found at ‘www.brainstem.club.’ Cross-list: BIOS 128. Mutually Exclusive: Cannot register for BIOS 528 if student has credit for BIOS 128. Repeatable for Credit.

This course presents the theoretical foundations of cellular and systems neuroscience from a quantitative perspective, integrating mathematical modeling, computational tools, and data analysis. Students will develop and apply differential equations, probabilistic models, and reverse correlation techniques to analyze neural activity and synaptic interactions. The course combines traditional lectures with student-led presentations in a seminar-style format. Coursework includes problem sets, coding-based assignments, and group projects. MATLAB or Python proficiency is strongly recommended. Cross-list: NEUR 415, ELEC 488, NEUR 615, ELEC 588, CMOR 615. Recommended Prerequisite(s): This course requires coding in MATLAB or Python. As such, COMP 140, CMOR 220 or some equivalent coding experience is highly recommended. Mutually Exclusive: Cannot register for CMOR 415 if student has credit for CMOR 615.

This course presents the theoretical foundations of cellular and systems neuroscience from a quantitative perspective, integrating mathematical modeling, computational tools, and data analysis. Students will develop and apply differential equations, probabilistic models, and reverse correlation techniques to analyze neural activity and synaptic interactions. The course combines traditional lectures with student-led presentations in a seminar-style format. Coursework includes problem sets, coding-based assignments, and group projects. MATLAB or Python proficiency is strongly recommended. Cross-list: NEUR 415, ELEC 488, CMOR 415, NEUR 615, ELEC 588. Mutually Exclusive: Cannot register for CMOR 615 if student has credit for CMOR 415.

This course presents the theoretical foundations of cellular and systems neuroscience from a quantitative perspective, integrating mathematical modeling, computational tools, and data analysis. Students will develop and apply differential equations, probabilistic models, and reverse correlation techniques to analyze neural activity and synaptic interactions. The course combines traditional lectures with student-led presentations in a seminar-style format. Coursework includes problem sets, coding-based assignments, and group projects. MATLAB or Python proficiency is strongly recommended. Cross-list: NEUR 415, CMOR 415, NEUR 615, ELEC 588, CMOR 615. Recommended Prerequisite(s): This course requires coding in MATLAB or Python. As such, COMP 140, CMOR 220 or some equivalent coding experience is highly recommended. Mutually Exclusive: Cannot register for ELEC 488 if student has credit for ELEC 588.

This course presents the theoretical foundations of cellular and systems neuroscience from a quantitative perspective, integrating mathematical modeling, computational tools, and data analysis. Students will develop and apply differential equations, probabilistic models, and reverse correlation techniques to analyze neural activity and synaptic interactions. The course combines traditional lectures with student-led presentations in a seminar-style format. Coursework includes problem sets, coding-based assignments, and group projects. MATLAB or Python proficiency is strongly recommended. Cross-list: NEUR 415, ELEC 488, CMOR 415, NEUR 615, CMOR 615. Mutually Exclusive: Cannot register for ELEC 588 if student has credit for ELEC 488.

Information on how to find a lab, apply to the course and what to expect can be found at www.neur310.rice.edu. This course gives credit for independent research in Rice Neuroscience faculty laboratories (or other Texas Medical Center laboratories.) Students spend at least 3 hours per week in the laboratory for each semester hour of credit. If taken for 3 or more hours, counts as one required 300+ level lab course within the neuroscience major. Can be repeated once for 3 hours or more to count towards an elective credit within the neuroscience major. Requires a proposal abstract, weekly reports, and a final project that summarizes your activities in the lab. Students wishing to perform their research in an off-campus lab must submit a completed application to the NEUR 310 instructor at least 2 weeks prior to the start of classes. Students are strongly advised to secure research advisors and register for the class well in advance of the start of classes. Repeatable for Credit. Suggested Pre-Reqs: CMOR 220 and BIOS 212; these are not required, but skills learned in these courses will help make you more valuable to labs when you apply. Recommended Prerequisite(s): CMOR 220 and BIOS 212 Repeatable for Credit.

The Neuroscience Honors Research Program is a suite of courses offering our seniors and advanced juniors the opportunity to perform a two-semester, individual research project in a research laboratory in Neuroscience. Students having performed NEUR 310 research in an off-campus laboratory in the Texas Medical Center will also be eligible to apply to perform honors research in that laboratory. The Honors Research Program courses function as a set and must all be taken in the same academic year. Registration for any of the courses requires a commitment to register for all three. Requires at least 15 hours of laboratory research per week, a proposal (revised from application), monthly reports, and a formal progress report (abstract, aims, progress toward aims, discussion of results, plans for the spring semester). Prerequisites: strong performance in NEUR 310. Research professor recommendation required. Application for admission required. Repeatable for Credit.

This course presents the theoretical foundations of cellular and systems neuroscience from a quantitative perspective, integrating mathematical modeling, computational tools, and data analysis. Students will develop and apply differential equations, probabilistic models, and reverse correlation techniques to analyze neural activity and synaptic interactions. The course combines traditional lectures with student-led presentations in a seminar-style format. Coursework includes problem sets, coding-based assignments, and group projects. MATLAB or Python proficiency is strongly recommended. Cross-list: ELEC 488, CMOR 415, NEUR 615, ELEC 588, CMOR 615. Recommended Prerequisite(s): This course requires coding in MATLAB or Python. As such, COMP 140, CMOR 220 or some equivalent coding experience is highly recommended. Mutually Exclusive: Cannot register for NEUR 415 if student has credit for NEUR 615.

This course presents the theoretical foundations of cellular and systems neuroscience from a quantitative perspective, integrating mathematical modeling, computational tools, and data analysis. Students will develop and apply differential equations, probabilistic models, and reverse correlation techniques to analyze neural activity and synaptic interactions. The course combines traditional lectures with student-led presentations in a seminar-style format. Coursework includes problem sets, coding-based assignments, and group projects. MATLAB or Python proficiency is strongly recommended. Cross-list: NEUR 415, ELEC 488, CMOR 415, ELEC 588, CMOR 615. Mutually Exclusive: Cannot register for NEUR 615 if student has credit for NEUR 415.