Shin Ishii

The paper investigates self-attribution bias in error assignment using a visuomotor task, finding that participants credit successes to skill and blame failures on luck, influenced by distorted self-perception and positivity bias.

The paper introduces BMA2.0, a population-based 3D marmoset brain atlas with multi-modal templates for improved cortical and subcortical parcellation and integration of multimodal data.

This study shows that CRTC1 knockdown in marmosets leads to epileptic responses and abnormal cFOS expression, with associated neural activity changes and lesions.

This study maps prefrontal cortex circuits in marmosets, revealing distinct local and long-distance projection patterns and their implications for primate brain organization.

The paper presents a large-scale MRI database of marmosets across a wide age range to study brain aging and its factors.

The paper introduces the Brain/MINDS Marmoset Connectivity Atlas, providing a resource for exploring neuronal tracer data and tractography in a common stereotaxic space.

The paper identifies a 1-second time window for reward conditioning in the nucleus accumbens of mice, dependent on dopamine D1 receptor and CaMKII signaling.

This paper introduces a reinforcement learning model inspired by the striatal dopamine system, showing it enables fast generalization and safe exploration but can also lead to maladaptive behaviors.

This paper describes a pipeline for processing tracer injection data in marmoset brains, enabling normalization into a common 3D space for connectomics studies.

UNI-EM provides a user-friendly software environment for DNN-based segmentation of EM images, enabling non-experts to perform 2D and 3D segmentation without programming knowledge.

The paper develops a mathematical model to predict an optimal glucose ingestion pattern that minimizes peak blood glucose levels in humans, validated through experimental testing.

The paper analyzes motor-related neural activity in larval Drosophila during fictive locomotion, identifying neurons biased toward forward or backward movement.

This study develops a computational model of ERK-mediated somitogenesis to show how the segmentation clock maintains noise-resistant developmental reproducibility in vertebrate somite formation.

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.

The paper develops a biophysical model to explain how microtubule orientations differ between axons and dendrites based on neurite growth speed and hydrolysis rate.