Emergence of new optical technologies combined with advanced statistics and machine learning tools have led to major advances of our understanding of how the circuitry and dynamic s of neuronal population give rise to brain functions and behavior.
The Vaziri Lab of Neurotechnology and Biophysics has a major focus on the development and application of advanced optical imaging technologies with applications for systems neuroscience. Over the last few years we have developed a portfolio of optical techniques that allow near-simultaneous stimulation [1, 2] and functional imaging of neuronal activity on the whole-brain level at single-cell level in small model organisms [3, 4] and more recently in the more scattering rodent brain [5-8]. These tools are now being used to answer some of the most fundamental questions in neuroscience: How does the spatiotemporal dynamics of neuronal population activity generate behavior? How is the variability of behavior linked to the variability of neuronal dynamics? What are the neuro computational principles that facilitate cognitive brain functions?
To further push the development of advanced neurotechnologies, we are currently looking for highly motivated and ambitious candidates in the following areas:
Development of new high-speed optical methods for large scale recoding of neuroactivity
Imaging through scattering media
Computational imaging technologies using machine learning and advanced statistics
New conceptual applications of quantum optics and ultrafast optics to bioimaging and biology
Highly motivated, ambitious and goal-driven
Ph.D. in physics, (quantum) optics, optical / electrical engineering or systems neuroscience
Prior experimental work on one and more of these areas would be highly desired: designing and building optical setups or instruments, ultra-fast optics, fiber optics, AMO physics, light/matter interaction, statistical data analysis, systems neuroscience, craniotomy surgery, rodent behavior
Andrasfalvy, B., et al., Two-photon Single Cell Optogenetic Control of Neuronal Activity by Sculpted Light.PNAS, (2010). 107.
Losonczy, A., et al., Network mechanisms of theta related neuronal activity in hippocampal CA1 pyramidal neurons.Nature Neuroscience, (2010). 13(8): p. 967-72.
Schrodel, T., et al., Brain-wide 3D imaging of neuronal activity in Caenorhabditis elegans with sculpted light.Nature Methods, (2013). 10(10): p. 1013-1020.
Prevedel, R., et al., Simultaneous whole-animal 3D imaging of neuronal activity using light-field microscopy.Nature Methods, (2014). 11(7): p. 727-730
Robert, R. et al., Fast volumetric calcium imaging across multiple cortical layers using sculpted light. Nature Methods, (2016) 13, 1021-1028
Skocek,O., et al., High-speed volumetric imaging of neuronal activity in freely moving rodents. Nature Methods, (2018). 15, 429–432.
Nöbauer, T., et al., Video rate volumetric Ca2+ imaging across cortex using seeded iterative demixing (SID) microscopy. Nature Methods, (2017). 14, 811-81.
Weisenburger, S. et al., Volumetric Ca2+ Imaging in the Mouse Brain using Hybrid Multiplexed Sculpted Light (HyMS) Microscopy. Cell (2019), in press
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