Toshihide Hige

Abstract How natural regulatory genetic variation creates innate biases in economic decisions through modifying circuit structure and function is rarely explored. Here, we trace this link in a simple value-based decision in Drosophila: where to oviposit. Although laboratory flies (w1118) reject sucrose for a plain option, a wild-caught African strain accepts sucrose. This decision difference maps to three African-specific intronic SNPs in pumilio (pum), an RNA binding translational repressor.

Introduction Synaptic plasticity is a fundamental mechanism of learning. Aplysia, the animal that helped prove this notion for the first time, has contributed to the identification of a cAMP-dependent pathway as a key molecular basis for synaptic plasticity (Brunelli et al., 1976; Castellucci et al., 1980).

Abstract Data-driven spiking neural network (SNN) models are vital for understanding the brain's information processing at the cellular and synaptic level. While extensive research has focused on developing data-driven SNN models for mammalian brains, their complexity poses challenges in achieving precision. Network topology often relies on statistical inference, and the functions of specific brain regions and supporting neuronal activities remain unclear.