Browse wide-ranging research at the frontiers of neuroscience supported by Wu Tsai Neurosciences Institute grants, awards, and training fellowships.
Projects
A principled investigation into the heterogeneous coding properties of medial entorhinal cortex that support accurate spatial navigation
Navigation through an environment to a remembered location is a critical skill we use every day. How does our brain accomplish such a task? Over the last few decades, several lines of evidence have suggested that a brain region called medial entorhinal cortex (MEC) supports navigation by encoding information our location and movement within an environment.
Understanding why neurons die in disease
Many neurological diseases feature the death of neurons, but the mechanisms that mediate cell death in these disorders are unknown. Astrogliosis, the response of a cell-type called “astrocytes” to injury, is common to most diseases of the central nervous system (CNS), and recent studies in our lab suggest that some reactive astrocytes may release a protein that is potently toxic to neurons.
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.
Geometric analysis and variability mapping in human white matter brain structures
Understanding the relationship between structure and function in the human brain is a key interest in neuroscience. In recent years the focus is turning to understanding the role of the white matter in human cognition, brain function and neurological disorders.
Understanding cellular responses induced by chronic implantation of electrodes using a novel human neural differentiation platform
Electrodes implanted in the brain have great potential, with applications in neurodegenerative disease, brain-computer interfaces, and more. However, the presence of electrodes in brain tissue causes a response known as gliosis, in which a scar forms around the electrode, reducing its effectiveness and access to neurons.
Modeling proprioceptive deficits for the design of novel sensory augmentation for post-stroke movement rehabilitation
Stroke is the main cause of adult disability; 80% of survivors sustain motor (movement) deficits that interfere with activities of daily living. There exists no proven therapeutic strategy for motor recovery of the upper extremity following stroke.
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.
Neural mechanisms of learning multiple motor skills and implications for motor rehabilitation
A hallmark of the motor system is its ability to execute different skilled movements as the situation warrants, thanks to the flexibility of motor learning. Despite many behavioral studies on motor learning, the neural mechanisms of motor memory formation and modification remain unclear.
Engineering versatile deep neural networks that model cortical flexibility
In the course of everyday functioning, animals (including humans) are constantly faced with real-world environments in which they are required to shift unpredictably between multiple, sometimes unfamiliar, tasks. But how brains support this rapid adaptation of decision making schema, and how they allocate resources towards learning novel tasks is largely unknown both neuroscientifically and algorithmically.
Answering research questions in neural control through crowdsourced challenges
Human movement results from the coordination of muscles, tendons, joints, and other physiological elements.
Deep brain microstimulation for memory recovery
Yi Lui's project aims to use deep brain microstimulation (DBMS), which causes even less brain damage and has higher spatial resolution than DBS, for memory recovery.
Determining higher-order organization of control and epileptic brain networks at single cell resolution
Dr. Darian Hadjiabadi aims to identify higher-order features of neuronal circuits responsible for seizure initiation and propagation by quantifying mesoscale-network reorganization in genetic models of zebra sh that faithfully recapitulate seizure dynamics in humans.
Synaptic rules and circuit architectures for learning from feedback
Dr. Brandon Jay Bhasin will use engineering principles from modern control theory, experimental neuroscience and computational neuroscience to significantly advance understanding of how feedback driven plasticity in a tractable neural circuit is orchestrated across multiple synaptic sites and over various timescales so that circuit dynamics are changed to improve performance.
Novel haptic interfaces for studying human perception in virtual environments
Modelling the Pupil Light Reflex for Non-Image Forming Vision
Although you’re aware of the light that you see, light also affects us in ways that you might not appreciate. These so called “non-image forming” (NIF) pathways were recently discovered, they start in the human eye before projecting to over a dozen brain regions. They modulate aspects of human function including our daily rhythms, our sleep patterns, the way we feel and the way we think.
Controlling schistosomiasis via CRISPR/CAS9-mediated gene drive
Schistosomiasis is a parasitic disease second only to malaria in its human health and economic impact on tropical nations.
Weak supervision in medical multi-modal time series
The project aims to alleviate this bottleneck by developing a weak supervision system that optimally deals with time-series data and takes advantage of multiple data modalities.
A spatiotemporally-resolved circuit model of the physiologic and behavioral effects of subanesthetic ketamine activity in the limbic system
Developing a platform of biocompatible nanoparticles that uncage a drug payload upon ultrasound application.
A multi-rank statistical model to determine the impact of behavioral state on navigational coding by medial entorhinal cortex
Behavioral state—such as alertness or exhaustion—dramatically impacts how our brains function. Yet, in spite of the key role that it plays in cognition, how behavioral state influences brain function remains a central mystery in neuroscience.
How do Schwann cells sort and myelinate axons in the developing peripheral nervous system?
Schwann cells (SCs) sort and myelinate peripheral axons, and impairments in either process can cause long-term disability. There are no therapeutic strategies for targeting SC dysfunction, underscoring the need to investigate mechanisms of sorting and myelination. Both processes require highly motile SC cytoplasmic protrusions, but the basis of this motility is unclear.
Magnetic Resonance Imaging of Epileptogenesis
Absence epilepsy is a form of pediatric epilepsy which causes seizures with brief lapses in awareness. Electron microscopy results in a murine model of absence epilepsy support the hypothesis that maladaptive myelination plays a role in disease progression.