General areas of research:

Synthetic data used for training behavioral analysis: animal and human studies.

We have developed a realistic 3-dimensional mouse model capable of generating synthetic behavioral videos

to train behavioral classifiers.  We are now beginning projects that take advantage of synthetic human form

and large language models (LLMs) and neural networks as a means of quantifying neurological disease.

Structure-function of brain circuits in relation to stroke

High-resolution imaging of individual synapses and sensorimotor circuits in live mice to provide insight

into mechanisms of initial stroke damage and stroke recovery. We are currently focusing on

understanding how sensory and motor circuits compensate after stroke.

CNS synaptic plasticity/physiology mesoscale level

In vivo imaging of synaptic interactions and sensorimotor processing, novel brain mapping procedures

using optogenetics.

Automated mouse brain imaging and brain stimulation

We develop models of neurological and psychiatric disease that employ internet-enabled mouse homecages

that are used to manipulate and assess brain activity.

Affiliations

Funding