Graduate Students

Using in vivo calcium imaging and computational models to investigate how spatial cognition arises from sensory inputs.

Using dynamical-systems and geometric-AI tools to better understand human intelligence

Dendritic integration in inhibitory interneurons

Using brain organoids and human samples to study memory and consciousness

Uncovering the higher visual areas, connectivity, and encoding principles supporting visual object recognition.

Neural circuits underlying predictive behaviors during pursuit

Examining molecular pathways in neurodegenerative diseases using functional genomics approaches.

Investigating how the Drosophila fly's central brain integrates different types of sensory information to direct navigation.

Circuitry of sensory systems

Visual processing and spatial representations.

Cortical implants for the blind

Investigating insect sensory systems and vector control strategies

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Using the artificial neural network (ANN) paradigm to gain insights into properties of biological brains

System and Computational Neuroscience; elucidating the mechanisms of neural circuit underlying navigation in Drosophila

Developing tools to enable further advancements in the global effort towards neuronal code deciphering.

Neuronal mechanisms underlying chemotaxis in Drosophila larvae