Assistant Professor
M_Anatomy-General
415-502-7372
Research Description
We develop theory and dynamical systems tools, machine learning and data analysis algorithms, and whole brain mapping methods to characterize and understand flexible brain function
Current Projects
- Theoretical frameworks for functional self-reconfiguration processes in neuronal networks.
- Analysis and machine learning tools for high-dimensional, multi-scale network dynamics from experimental data investigating flexible function and functional coordination in brain circuits
- Whole brain structure and activity mapping
- Neuro-modulation and AI
Publications
Resolving non-identifiability mitigates systematic errors in simultaneous models of neural tuning and functional coupling.
Journal of computational neuroscience
Regional specialization in prefrontal cortex manifests in the reliability of task progression codes.
Neuron
Extracellular matrix proteolysis maintains synapse plasticity during brain development.
Nature Neuroscience
Identity-stable multi-animal tracking using bidirectional segmentation with object-level memory.
bioRxiv : the preprint server for biology
Extracellular matrix proteolysis maintains synapse plasticity during brain development.
bioRxiv : the preprint server for biology
WNT signaling memory is required for ACTIVIN to function as a morphogen in human gastruloids.
M_PEDS-NEONATOLOGY