Rishabh Chandak

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.

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