Neurotechnology
Neuroscience is undergoing a technological revolution, with tools for monitoring and manipulating brain activity evolving at a rapid pace. UCLA is at the forefront of developing state-of-the-art devices for measuring brain chemical, electrical, calcium, and metabolic signaling. The Neurotechnology FAR represents basic and clinical neuroscientists who are actively involved in developing, improving, and using technologies such as chemical sensors, multielectrode arrays, and miniaturized microscopes. Students will gain an in-depth, hands-on understanding of not only how new tools are developed, but also how they are successfully used to enhance our understanding of brain function in health and disease. This FAR also provides several opportunities for collaboration with engineers.
List of Faculty:
Aharoni, Daniel | Tool and technique development for neuro-behavioral research |
Andrews, Anne | Serotonin & Anxiety |
Blair, Hugh Tad | Learning and Memory; Neural Computation |
Cahill, Catherine | Chronic pain and opioid addiction |
Field, Greg | Systems neuroscience, visual processing, retinal neurophysiology, neural degeneration |
Fried, Itzhak | The Neuronal Basis of Human Memory; Ameliorating Memory Dysfunction with Stimulation |
Golshani, Peyman | Autism Spectrum Disorders and Developmental Epilepsies |
Huk, Alex | Neural computations underlying vision, cognition, and action |
Masmanidis, Sotiris | Neural circuits of reward learning and motor control, addiction, movement disorders |
Massaly, Nicolas | Neurocircuits underlying pain affect, rewarding and aversive properties of stimuli, and substance use disorders |
Petersen, Nicole | Translational neuroimaging and human neuroendocrinology |
Poe, Gina | Investigating the mechanisms by which sleep traits serve learning and memory consolidation |
Ringach, Dario | Visual Neurophysiology and Perception |
Suthana, Nanthia | Neuromodulation and Neuroimaging of Human Learning and Memory |
Wassum, Kate | Behavioral Neuroscience, Learning and Behavior, Addiction |
Zheng, Jie J. | Therapeutic development in ophthalmology |
Zylberberg, Joel | Machine learning and information theory applied to visual neuroscience |