Browse wide-ranging research at the frontiers of neuroscience supported by Wu Tsai Neurosciences Institute grants, awards, and training fellowships.
Projects
High-speed force probes for deconstructing the biophysics of mechanotransduction
The purpose of this collaborative project is to study neuronal mechanisms associated with social stress. In particular we will test whether the energy producing systems, known as mitochondria, in a specific set of brain cells are important to confer resilience to stressful stimuli. This research may lead to treatments of stress and anxiety disorders.
Brain mechanisms of spatial reasoning in mathematics
Creating an advanced transgenic animal model of autism
Autism is a highly genetic developmental brain disorder which is characterized by social impairments. Autism affects 1 in 68 US children, with an annual cost in the US of $250 billion dollars. Unfortunately, the basic biology of autism remains poorly understood.
High-speed nanomechanical probing of auditory mechano-sensitive cells
Our ability to detect and interpret sounds relies on specialized sensory cells within the snail-shaped hearing organ of the inner ear—the cochlea. These hair cells sense physical movement and then convert that mechanical stimulus into a biological signal that we perceive as sound. These mechano-sensory cells perform this task within microseconds and can do so for sub-nanomechanical stimuli.
Quantitative imaging for multi-scale modeling of neurological diseases
My proposed visit to the Van De Ville lab is centered on the idea to expand our methods beyond brain tumors to other neurological diseases using the Van De Ville lab’s expertise in neuro-imaging. Imaging genomics has been focused mainly on oncology; however, other neurological diseases can be studied in the same way.
Improve reproducibility and transparency in the field of neuroimaging by applying nonparametricstatistical methods and writing R packages.
Brain data analyses involves many steps and every step is prone to errors and uncertainties. Ignoring uncertainties can potentially leading to overconfident conclusions. To improve reproducibility it is important to propagate errors throughout the anlaysis.
Biologically plausible neural algorithms for learning structured sequences
Humans naturally learn to generate and process complicated sequential patterns. For example, a concert pianist can learn an enormous repertoire of memorized music. In neuroscience, it is widely thought that synaptic plasticity – the process by which the connections between neurons change response to experience – underlies such remarkable behavior.
Identification of sex hormone interacting proteins
TrkA-ing the chronic pain
Genetic tools to determine circuit-specific roles of myelination
These tools will enable us to dissect how myelin contributes to specific brain circuits and types of neurons, bringing us closer to a holistic understanding of how cells in the brain collaborate to build a functional nervous system.