Peng Yuan

The paper introduces latent processing units (LPUs) to explain how neural networks perform reliable computations despite variability, using six theorems to unify geometric and dynamical perspectives.

The paper shows that low-dimensional neural coding suppresses noise and extends working memory duration in recurrent networks through theoretical analysis and experimental validation in mice.

The paper shows microglia preserve fear memory by selectively pruning extinction-ensemble synapses through local signaling cues during memory retrieval.

This study shows that Fos labels excitatory neurons specific for memory retrieval, not those activated during memory encoding.

This paper investigates how amyloid-β modulates TPK-1 expression in microglia, showing TPK deficiency contributes to plaque propagation and microglia dysfunction in Alzheimer's disease.

The paper identifies stable sequential dynamics in the medial prefrontal cortex of rats during time estimation tasks and links these dynamics to trial interval adjustments and timing errors.

The paper introduces EMBER, a spectral imaging method using machine learning to identify amyloid strains in neurodegenerative diseases.

This paper introduces a method to enhance two-photon optogenetic stimulation in live mouse brains by using fluorescent molecules to improve opsin activation efficiency.

The paper evaluates CSF1R inhibitors in tauopathy mice, finding sex-specific functional outcomes and suggesting sex-dependent effects on neuroprotection.