Bing Liu

The paper evaluates diversification rates and phylogenetic diversity across African plant genera, revealing mismatches between diversification hotspots and conservation priorities.

TransBrain translates brain-wide phenotypes between humans and mice, improving homology mapping and enabling cross-species analysis of brain organization and function.

PI-FC uses state-invariant contrastive learning to extract stable individual brain signatures from fMRI, improving phenotypic prediction accuracy and reducing scanning time across multiple datasets.

The paper identifies genetic variants associated with brain white matter connectome efficiency and intelligence, showing shared SNPs and improved prediction when combining polygenetic scores with connectome data.

The paper analyzes longitudinal neuroimaging data to show that global cortical entropy decreases with aging, with cohort effects and varying rates across cortical networks.

The paper proposes that neuroticism variability can be structured into two dimensions, one linked to longevity and the other to well-being, with distinct neural and genetic underpinnings.

This paper introduces STIM, a framework for analyzing brain dynamics during naturalistic stimuli, revealing individual differences in neural landscapes and their links to cognition and mental health.

The paper identifies 443 network-specific genes in the human cerebellum and links their co-expression patterns to intra-cerebellar functional connectivity, revealing gene subsets related to neurodevelopment and neurotransmission.

AutoGenome is an automated deep learning framework for genomic profiling data that uses a residual fully-connected neural network and AutoML to train high-performance models.

The paper identifies electrophysiological and pharmacological differences among VTA glutamate, glutamate-GABA, and GABA neurons using a double transgenic mouse model.

The paper shows that multidimensional sensory neuron tuning improves stimulus reconstruction, termed 'stimulus synergy', which is preserved in downstream motor behavior.

The paper identifies reproducible functional gradient abnormalities in schizophrenia that correlate with clinical and cognitive symptom severity using resting-state fMRI data.

This study examines how amyloid-beta biomarkers and clinical profiles change in sporadic Alzheimer's disease, finding that amyloid changes are inconsistent with clinical and imaging markers during progression.

This study shows that neurons in the motor cortex adapt to task changes by increasing exploratory firing patterns without disrupting previously consolidated activity during neuroprosthetic learning.