Kenji Mizuseki

Excitation-inhibition balance controls coupling stability and network reorganization in a plastic Kuramoto model

The paper extends a Kuramoto model with excitation-inhibition balance and plasticity to study network stability and reorganization during sleep and rest.

CA3 circuit model compressing sequential information in theta oscillation and replay

The paper develops a computational model of the hippocampal CA3 circuit to simulate how sequential information is compressed and replayed during theta oscillations and sharp-wave ripples.

A novel micro-ECoG recording method for recording multisensory neural activity from the parietal to temporal cortices in mice

This paper develops a novel micro-ECoG device and surgical technique to record multisensory neural activity from the parietal to temporal cortices in mice.

De novo inter-regional coactivations of pre-configured local ensembles support memory

The paper shows that fear memory involves pre-configured local ensembles in the amygdala and prefrontal cortex, with hippocampal ensembles developing through experience to integrate inter-regional coactivations during sleep and retrieval.

Intersectional, anterograde transsynaptic targeting of the neurons receiving monosynaptic inputs from two upstream regions

The paper develops a method to label neurons receiving monosynaptic inputs from two upstream regions in mice using intersectional gene expression and AAV1.

Distinct ground state and activated state modes of spiking in forebrain neurons

The paper identifies two distinct spiking modes in forebrain neurons: a universal ground state and context-dependent activated state, with implications for neuronal function.

Robust information routing by dorsal subiculum neurons

The subiculum accurately and robustly represents diverse information and routes it in a target region-specific manner.

Oscillation-driven memory encoding, maintenance and recall in an entorhinal-hippocampal circuit model

The paper develops a neural network model of the entorhinal-hippocampal circuit to study how spatial working memory is encoded, maintained, and recalled through cholinergic modulation and theta oscillations.

Reconstructing Neuronal Circuitry from Parallel Spike Trains

This paper develops a method to reconstruct neuronal circuitry from spike trains using a generalized linear model, validated on rat hippocampal data.