Gabrielle J. Gutierrez

This study investigates how inter-hemispheric connections in a computational model of the SCN influence splitting dynamics under different lighting conditions.

The paper models rod-cone signal interactions in a visual circuit and finds that rod-cone interference reduces motion direction discriminability under mesopic lighting.

The paper identifies the Oviposition Inhibitory Neuron as a hub in the Drosophila oviposition circuit by analyzing its inputs using network analysis and graph theory.

The paper analyzes synaptic connectivity in Drosophila lateral neuron clock cells to identify distinct connectomic types and their roles in circadian timekeeping.

The paper shows that convergent circuits with nonlinear subunits and divergent parallel pathways can encode more information than linear subunits, despite individual losses from convergence and nonlinearities.

The paper shows that population-level optimization of efficiency maintains stable neural representations through spike-frequency adaptation and balanced connectivity, reconciling neural and behavioral findings in orientation coding.