Xiaoxuan Jia

State-dependent structured sparsification of cortical signal-transmission networks enhances visual coding

The paper investigates how behavioral states reconfigure neuronal networks in mice, finding that locomotion leads to structured sparsification of signal transmission, enhancing sensory coding efficiency.

Deciphering neuronal variability across states reveals dynamic sensory encoding

The paper analyzes neuronal variability across brain states to understand how factors like internal dynamics, behavior, and stimuli influence sensory processing over time.

Estrus-Tracking Cortical Neurons Integrate Social cues and Reproductive states to Adaptively Control Sexually Dimorphic Sociosexual Behaviors

The paper identifies mPFCCacna1h+ neurons that integrate hormonal states and social cues to control sexually dimorphic sociosexual behaviors in females and males.

Stimulus-dependent functional network topology in mouse visual cortex

The paper examines how functional connectivity in mouse visual cortex changes with different stimuli, finding that motif frequencies are preserved while neuron identities within motifs shift, and functional modules become more regionally contained with complex stimuli.

A ubiquitous spectrolaminar motif of local field potential power across the primate cortex

The paper identifies a consistent spectrolaminar pattern of LFP power across primate cortex, showing distinct frequency gradients in superficial and deep layers.

Ultra-high density electrodes improve detection, yield, and cell type identification in neuronal recordings

This paper introduces NP Ultra, a high-density electrode that improves neuronal recording yield, detection, and cell type classification in mice.

Associations between in vitro, in vivo and in silico cell classes in mouse primary visual cortex

The paper links in vitro, in vivo, and in silico cell classes in mouse visual cortex using computational modeling and optotagging experiments to identify distinct clusters with specific properties.

Stimulus novelty uncovers coding diversity in survey of visual cortex

The paper identifies diverse functional neuron types in the visual cortex that process novel and familiar stimuli in mice.

Reconciling functional differences in populations of neurons recorded with two-photon imaging and electrophysiology

This study compares neuronal responses in visual cortex using electrophysiology and two-photon imaging in awake mice, finding differences in responsiveness and selectivity and exploring data transformations to reconcile them.

Unsupervised changes in core object recognition behavior are predicted by unsupervised neural plasticity in inferior temporal cortex

The paper predicts human behavioral changes in object recognition from unsupervised neural plasticity in IT cortex using a computational model.

A survey of spiking activity reveals a functional hierarchy of mouse corticothalamic visual areas

The paper presents a dataset and analysis of spiking activity across multiple mouse visual areas, revealing that functional connectivity mirrors anatomical hierarchy.

Multi-regional module-based signal transmission in mouse visual cortex

The paper tracks spiking activity across six levels of the mouse visual hierarchy to identify two multi-regional communication modules with distinct signal flow and functional roles.

Strong and localized recurrence controls dimensionality of neural activity across brain areas

The paper shows that recurrent synaptic networks in the mouse cortex strongly control neural activity dimensionality across time and brain areas, mediated by cell-type specific network motifs present in both mouse and human brains.

Systematic Integration of Structural and Functional Data into Multi-Scale Models of Mouse Primary Visual Cortex

The paper develops a multi-scale model of mouse primary visual cortex integrating structural and functional data to identify cell-class specific connectivity rules.

Experience shapes activity dynamics and stimulus coding of VIP inhibitory and excitatory cells in visual cortex

The paper examines how visual experience affects activity dynamics and stimulus coding in excitatory and VIP inhibitory cells in mouse visual cortex during a change detection task.

High-density extracellular probes reveal dendritic backpropagation and facilitate neuron classification

The paper uses high-density extracellular recordings to classify neurons by brain region and identify dendritic backpropagation through waveform analysis.