Baranidharan Raman

The paper investigates how dopamine and octopamine opposingly affect odor-driven neural activity and behavior in an insect olfactory circuit.

This paper develops PEDOT:PSS granular hydrogel microparticles that form conducting hydrogels with microporosity and dynamic mechanical properties, enabling extrusion, bioencapsulation, and electrophysiological monitoring.

The paper investigates how locusts maintain odor intensity information despite neural adaptation in their olfactory system.

This study shows serotonin modulates odor-evoked neural responses and behavioral outcomes in locusts, with neural amplification not fully explaining stimulus-specific behavior.

The paper shows that neural responses to odors can be mapped to appetitive preference indices and that these responses are constrained to low-dimensional manifolds, influencing learning.

This study compares odor responses in locust and mouse olfactory systems, finding conserved neural dynamics and computations that enhance odor contrast.

The paper demonstrates that a simple ON-OFF classifier can achieve robust odor recognition in locusts, suggesting a generalizable computational strategy for invariant pattern recognition.

The paper examines how odor-evoked responses are organized spatially and temporally in the fruit fly olfactory circuit, finding consistent and idiosyncratic patterns across different neuron types.

This paper uses optimization-based modeling to study how sensory networks, specifically in the olfactory system, track low-dimensional latent representations of stimuli through temporal dynamics.

The paper investigates how odor-evoked responses in locusts vary with stimulus history and shows that a linear classifier matches behavioral decoding results.

The paper shows how neural circuits encode expectation of a sensory stimulus by reducing responses to repeated stimuli and increasing responses to unexpected ones.

The paper shows high-intensity odorant exposure harms flies and that a linear combination of ORN activities predicts intensity-dependent behavioral repulsion.