Muneki Ikeda

The paper models C. elegans thermotactic steering behavior using a neuroanatomical model and evolutionary algorithm, finding that persistent thermal signals modulate steering rates to guide movement toward a target temperature.

The paper introduces FASHIO-2PM, a two-photon microscope that enables fast, aberration-free calcium imaging of large neural networks in awake mice at 7.5 Hz.

The paper shows that presynaptic MAST kinase in C. elegans controls bidirectional postsynaptic responses to encode thermal stimulus valence through opposing signals.

The paper shows that overlapping neural circuits in C. elegans enable robust and flexible thermotaxis behavior through compensatory mechanisms and context-dependent regulation.

This paper develops an inverse reinforcement learning framework to identify animal behavioral strategies from time-series data, applied to C. elegans thermotaxis, revealing distinct strategies for fed and starved worms.