Seeking to understand differences between naturally and synthetically evoked neural responses using optogenetics and 2-photon calcium imaging

Designing a custom nanophotonic neural interface to optically stimulate and analyze output of neuronal activity for both in vivo and in vitro optogenetic studies

Developing new analysis methods to uncover the relationships between cortical depth and properties of cortical inhibitory neurons, across species and cortical areas, using publicly-available datasets

Combining holographic optogenetics and computational modeling to illuminate how functional circuitry of the sensory cortex contributes to complex behavior

Investigate the effects of atmospheric pollutants on plant-pollinator interactions and the processing of floral scents

Determine the role of astrocytes in heat resilience, to better understand how the brain builds resilience to temperature challenges at the cell and molecular level

Investigate the neuronal and circuit principles that underlie functional resilience to temperature in the nematode C. elegans

Applying advanced statistical and machine-learning models to behavioral data from a mouse model of Alzheimer's Disease

Sponsored by Dr. Vladyslav Vyazovskiy in the Physiology, Anatomy and Genetics Department at Oxford University, Kim studies the neuroscience of sleep

Enhance the Multiscale Object-Oriented Simulation Environment (MOOSE) software package and support outreach and training activities to make computational modeling more globally accessible

Enhance DeepLabCut with generative AI (AmadeusGPT) and expand the DeepLabCut AI Residency program

Host a Civic Science Fellow to focus on “Neuroscience and Society” addressing issues of engaging publics in neuroscience, how publics’ ideas and views might impact research questions, design, and the scientific process, and how these concepts can be built into training of neuroscientists.

Assess the ability of invertebrate species to maintain neuron development and function in response to temperature flux, to address a gap between known ecological impacts and physiological adaptation

Develop optogenetic tools to investigate the molecular determinants of mitochondrial metabolism to assess how mitochondiral physiology may modulate brain function

Investigate how cephalopods cope with environmental changes, such as low oxygen availability (hypoxia), to advance studies in RNA editing and neural adaptation

Develop an open source software application to facilitate converting data into the Neurodata Without Borders (NWB) format using best practices for data and metadata structures

Develop a data pipeline to characterize neuronal population activity and ensemble properties to understand how sensory stimuli and behaviors are representated across brain regions

Advance understanding of molecular pathways associated with learning and memory formation by optical manipulation of neural activity with optical reporters of activity and synaptic strength, as an outcome of "Scialog: Molecular Basis of Cognition"

Develop a software extension to manage data and metadata from deep brain stimulation experiments

Develop automated extraction tool to retrieve stored metadata as part of a pipeline to standardize a multi-modal dataset

Develop a software extension to convert marmoset intracellular electrophysiology datasets into a data standard suitable for public access

Develop a software extension to integrate holographic photostimulation data into a data standard and integrate into two-photon image analysis packages

Develop tools and open standards to create advanced, multiscale models of neuronal cells through the COmputational Modeling in Biology NEtwork (COMBINE) initiative

Develop an open C/C++ API for data acquisition for the Neurodata Without Borders (NWB) data standard

Investigate the influence of environmental context and valence on neural responses in the basolateral amygdala

Develop and apply innovations in metamaterial design to enhance performance of fluorescence photometry

Develop a novel method to track real-time, physiological arousal states to inform mechanisms of Parkinson's disease in a rodent model

Develop custom hardware and software to enable microscopy of 3D voltage imaging in deep-brain neural circuits

Combine imaging-based single-cell transcriptomics and miniature 2-photon microscopy to measure gene expression impact on neural clusters and cell types in neural circuits that control social behavior in mice

Develop a magnetic force microsope to measure the magnitude and dynamics of activity-dependent neuronal magnetic fields

Advance functionality and accessibility of ClearMap software, to analyze large volumetric data from the brain

Integrate neurophysiology and network analysis methods to study brain function during a novel memory task, in collaboration with Dr. Lucas Pinto at Northwestern University and Dr. Daniel Burnston at Tulane University as an outcome of "Scialog: Molecular Basis of Cognition"

Develop a computational model to uncover the variability of neural circuits across experimental trials, tasks and conditions, and apply this framework to publicly-available datasets

Combine and analyze publicly available data to understand principles that shape neuronal activity across species, and gain insight into population dynamics of complex neuronal circuits

Develop an open source computational pipeline for constructing functional neural networks, in collaboration with Yi-Yun Ho (Massachusetts Institute of Technology)

Create a Neurodata Without Borders (NWB) database to share data for optogenetic perturbation of recurrent cortical connections

Expand the Neurodata Without Borders (NWB) ecosytem to include the open source 4D neuron tracing software package Dynamo

Establish a data standard for existing brain-computer interface frameworks and datasets

Extend an open source software toolbox used for songbird neurophysiology analysis, BirdSong, to support Neurodata Without Borders (NWB)

Create a pipeline to convert single-unit data from working memory tasks into the Neurodata Without Borders (NWB) data standard

Develop new tools to study biophysical perturbations in neuronal cell properties, to explore adaptability of neural systems

Develop and apply molecular tools to analyze neural dynamics, gene expression and behavior during a novel rodent learning task, in collaboration with Dr. Antonio Fernandez-Ruiz at Cornell University as an outcome of "Scialog: Molecular Basis of Cognition"