Project Listing
Transcriptomic analysis of neural circuits activated during encoding of long-term memory
Our ability to remember makes us human, and is essential for acquiring new skills and integrating previous experiences into future decision-making. While it is known that long-term memory (LTM) formation requires new gene expression, we lack a detailed and comprehensive understanding of which genes must be expressed to encode memories, and how these genes change over time during the consolidation of memories.
Sustained release of growth factors from bioengineered synthetic "cells" for treating spinal cord injury
Spinal cord injury (SCI) is a debilitating condition that affects young adults between the ages of 16 and 30, which leads to lifelong medical and financial burdens. SCI still results in a decreased quality-of-life and lower life expectancy for patients. This is due in part to the lack of a regenerative-based therapeutic approach to treating SCI in the clinic.
Kinetic determinants of GPCR signaling: from ultra-fast to diffusion-limited
G protein-coupled receptors (GPCRs) are proteins that exist within the cell membrane and act to transfer the information encoded within neurotransmitters and drugs into cell responses. GPCRs exist throughout the body in several systems including the nervous system.
Examining the role of glia signaling in neuronal excitability
Understanding how glia regulate the expression and/or post-translational modification of sodium ion channels may lead to the identification of new pharmaceutical targets for the treatment of pain.
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
NeuroPlant Initiative
The NeuroPlant Initiative aims to leverage a botanical armamentarium to manipulate the brain — by building a pipeline to explore chemicals synthesized in plants as potential new treatments for neurological disease and as a window into the chemistry of the brain.
Neurodevelopment Initiative
Investigating how the brain develops from infancy to adulthood across species, focusing on how the interplay between structural development, functional development, experience and affect brain computations and ultimately behavior.
Stanford Brain Organogenesis Program (Phase 1)
Developing brain organoids – three dimensional brain tissues grown in the lab – to study human brain development, evolution and neuropsychiatric disorders.
Neuro-omics Initiative (Phase 1)
Creating new tools to help neuroscientists bridge the study of genes and proteins operating in the brain to the study of brain circuits and systems, which could lead to a deeper understanding of brain function and disease.
Real-time biosensors for measuring multiple neuromodulators
The goal of the project is to create a transformative sensor technology to measure complex forms of chemical communication in the living brain, in real time.
Instrumenting the nervous system at single-cell resolution
Dr. Dante Muratore's goal is to design the next generation of neural interfaces that allow single-cell resolution when communicating with the nervous system. To achieve this, he has conceived a new way of reading information from the neural system.
Learning to see the physical world with biologically-inspired recurrent neural networks
Dr. Daniel Bear propose to augment state-of-the-art neural networks with two biologically-inspired properties: the ability to represent the physical world as it changes over time and the ability to learn from self-created signals rather than explicit human instruction.
Investigating the evolution of vertebrate pair bonding mechanisms
By performing a molecular and neural network analysis across behaviorally divergent pair bonding species, Dr. Jessica Nowicki will use the power of comparative analysis to reveal core mechanisms that regulate pair bonding.
Forces driving myelin wrapping In oligodendrocytes
Dr. Miguel Garcia believes that identifying the mechanism of myelin wrapping is important in understanding neural development and is a critical first step towards creating much needed therapeutic approaches to stimulate remyelination in patients with demyelinating diseases.
Accelerating maturation of 3D human brain organoid models to study human aging mechanisms.
Dr. Iram will use brain intrinsic and systemic regulators of aging, in an attempt to accelerate maturation of human-derived brain organoids. This has the potential to produce the first ever aged human brain 3D cultures and identify factors which accelerate brain aging.
The rehab glove: Passive tactile stimulation for stroke rehabilitation
Project's stimulation method may provide a powerful tool to reduce disability after a stroke, and the wearable form factor allows users to receive intensive therapy during their normal daily routine
Multi-modal deep learning for automated seizure localization
Developing an automated seizure detection and localization system based on deep neural networks, EEG data, and real-time video with the goal to dramatically increase neurologist diagnostic capabilities while improving quality of care.
NeuroRoots, brain/computer interface solution for paralysis
Clinical translation of protein-engineered, matrix-mimetic nerve guidance conduits for peripheral nerve injury
Developing a protein-engineered nerve implant that mimics the biochemical and mechanical cues of native tissue in order to enhance the potential for neural regeneration following injury.