Fatih Dinç

The paper investigates how amantadine affects neural ensembles in hypokinetic and hyperkinetic conditions, finding it modulates action-specific ensembles rather than rebalancing pathway activity.

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.

TRU-FACT aligns in vivo imaging and spatial biology datasets at cellular resolution to link cellular dynamics with molecular attributes.

This paper shows that high-dimensional recurrent neural networks develop predictive pursuit strategies similar to rodent behavior, with performance dependent on network dimensionality.

This paper introduces CANDY, a framework that aligns neural and behavioral data across sessions and subjects, enabling cross-session behavior decoding and identifying shared neural dynamics.

EXTRACT, a GPU-based cell extraction method using one-sided Huber robust regression, processed 199 Allen Brain Observatory sessions (~12 TB) in a day and gave cleaner traces than CAIMAN or CNMF-E.