Fall 2017, Psychology 198
1 Unit P/NP
Class time: Mondays 6-8pm, Location: Kroeber 115
Instructors: Jessica Du, Ashton Teng, Claudia Tischler, Guy Wilson
The Neurotechnology Research Review Decal (NRRD) is a class run by members of the Neurotech@Berkeley club. NRRD provides a survey of modern technology used in neuroscience research and industry applications. Unlike a typical lecture-based course at Cal, the focus of this DeCal is on developing students’ ability to read and discuss primary literature (academic research papers)--a critical step for students interested in graduate school or research careers. As facilitators, we aim to not only provide an informative overview of neurotechnology, but also a way for undergraduate students to engage in a lively and in-depth discussion about recent techniques and findings in neuroscience.
At the end of this course, students will have solid background knowledge in the major concepts and techniques of neurotechnology research. Students will be able to efficiently and critically read primary research papers in general, and effectively articulate their thoughts in both written (reading responses) and spoken form (classroom discussion). These skills are widely applicable in academia and beyond.
Except the first week, which will be an overview lecture, every class will consist of a 1.5 hour discussion about a paper assigned from the previous week, and a 0.5 hour lecture on the topic of the next week. Discussions can be led by students if desired or by the facilitators for the course.
Students must attend, read the assigned paper beforehand, and complete a relevant response to reading questions for at least 10 out of the 13 classes in order to pass. Please note that only coming to class or only writing the response does not count towards the 10 times required to pass. Students should let the facilitators know when they are missing class and assignments.
|Week||Asssignments/Reading Due||30-min Lecture Topic|
Introduction to Neurotechnology
|N/A||Foundations of Neuroscience and primer on statistics (extended lecture first day) (Slides)|
Systems in the Brain
|Spatiotemporal Dynamics of Cortical Sensorimotor Integration in Behaving Mice (Links to an external site.) (Reading Supplement Slides)||fMRI, BOLD, and Brain Activity (Slides)|
Functional Magnetic Resonance Imaging (fMRI)
|Natural speech reveals the semantic maps that tile human cerebral cortex||fNIRS Overview (Slides)|
Functional Near Infrared Spectroscopy (fNIRS)
|Prefrontal activation due to Stroop interference increases during development--an event-related fNIRS study||EEG, MEG, Oscillations (Slides)|
|Neural correlates of the LSD experience revealed by multimodal neuroimaging
Neural mechanisms of rhythm-based temporal prediction: Delta phase-locking reflects temporal predictability but not rhythmic entrainment
|Direct brain recordings reveal hippocampal rhythm underpinnings of language processing||tDCS/tACS (Slides)|
Transcranial Direct/Alternate Current Stimulation (tDCS/tACS)
|Quantitative review finds no evidence of cognitive effects in healthy populations from single-session transcranial direct current stimulation (tDCS)||TMS|
Transcranial Magnetic Stimulation (TMS)
|Time-Varying Coupling of EEG Oscillations Predicts Excitability Fluctuations in the Primary Motor Cortex as Reflected by Motor Evoked Potentials Amplitude: An EEG-TMS Study||DBS (Slides)|
Deep Brain Stimulation (DBS)
|MRI-guided STN DBS in Parkinson's disease without microelectrode recording: efficacy and safety||Molecular Technologies: Electrophysiology and Optogenetics|
Electrophysiology and Optogenetics
|Amygdala circuitry mediating reversible and bidirectional control of anxiety||Molecular Technologies: Optogenetics and in-vivo Imaging|
Optogenetics and in-vivo Imaging
|Labeling and optical erasure of synaptic memory traces in the motor cortex
Visualization of cortical, subcortical and deep brain neural circuit dynamics during naturalistic mammalian behavior with head-mounted microscopes and chronically implanted lenses
|Brain Computer Interfaces, review and future (Slides)|
Brain Computer Interfaces
|Brain-machine interfaces: past, present and future
Wireless Recording in the Peripheral Nervous System with Ultrasonic Neural Dust (just watch the video)
|Small World Brain Networks (Slides)||November 27
Small World Brain Networks
|Small-World Brain Networks||End of semester party :)|
*Disclaimer: readings in this schedule are subject to change
We will send a survey at the beginning and end of the semester to get feedback from students on what they would like to get out of the course and what they like or do not like about the course and method of instruction.
We expect students to complete written homework assignments individually, though discussion is allowed and encouraged as long as there is no copying of answers directly.
If you would like to ask for accommodations (disability, religious practice, etc.), please come talk to the facilitators. We promise to make this a learning environment safe and open to all and to uphold the rights of free speech and expression.