Shinya Ito

The paper uses a bio-realistic model of mouse primary visual cortex to show that cortical oscillations follow a spectrolaminar motif, with gamma in superficial layers and alpha/beta in deep layers, driven by specific cell types and synaptic properties.

This study uses biologically realistic simulations to show that cortical circuit stability and information integration increase with hierarchy, linked to increased connectivity and SST cell proportion.

The paper presents a deep-learning-assisted simulator of a mouse primary visual cortex model, integrating multimodal data to study circuit function and synaptic organization.

The paper characterizes auditory responsive neurons in the mouse superior colliculus using naturalistic sounds and identifies four distinct subtypes with specific spatial preferences.

The paper uses population network models and public datasets to analyze how cortical circuits adapt to stimulus novelty, finding weaker connections and shifts in neural population dynamics.

The paper presents a synaptic physiology dataset and analysis platform to study cortical microcircuit structure and synaptic properties in mouse and human neocortex, revealing layer-dependent connectivity and subclass-specific dynamics.

The paper investigates nonlinear visuoauditory integration in the mouse superior colliculus, finding that integration depends on auditory stimulus properties and reveals conditions consistent with existing models.

This study shows that C57BL/6 mice lack high-frequency hearing and a topographic map of auditory space due to a genetic mutation, and this can be rescued by introducing wild-type Cdh23.

This paper develops a statistical model to detect synaptic connections from spike recordings by separating fast synaptic effects from slow background fluctuations and incorporating network properties.

The paper shows that spectral cues are necessary for encoding frontal auditory space in the mouse superior colliculus, while lateral fields rely on ILDs.

The paper investigates visual response properties of neurons in the mouse superior colliculus, finding that deep SC neurons are suppressed by specific visual stimuli and exhibit complex-cell-like properties.