Mark J. Schnitzer

This study investigates how hippocampal representations of space differ based on navigational strategy in rats performing memory tasks.

The paper shows that the mouse anterior cingulate cortex uses dynamic single-cell activity to maintain stable population codes for object locations across repeated experiences.

This study shows that chromatin remodeling in engram neurons during memory storage alters their transcriptional responses to future experiences, dampening further information storage.

The paper develops a predictive theory for experimental design in neural population geometry inference, showing that more neurons allow accurate inference with fewer trials.

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.

This study shows that motor cortical stimulation induces long-term pain relief through opioid and NMDA-receptor-dependent neural plasticity in the rostral ventromedial medulla.

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 that gamma oscillations in the prefrontal cortex involve dynamic, cell-type-specific synchronization patterns that support flexible behavior.

The paper develops a genetically encoded voltage indicator to measure subthreshold voltage dynamics in neurons, revealing electrical diversity and local computation.

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

This paper introduces two TEMPO voltage-sensing technologies to image high-frequency neural oscillations in behaving mammals, revealing new insights into excitatory-inhibitory dynamics and wave propagation.

SuRe enables efficient integration of multiple transgenes at a single genomic locus by using CRISPR/Cas9 and serine recombinases, allowing up to 4.2 Mbp recombinant products in Drosophila.

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.

The paper introduces FlyMAX, a robotic system for automated phenotyping and behavioral studies of individual fruit flies, improving efficiency and reducing manual handling.

ActSort reduces human labor in cell sorting for calcium imaging by 1-3% and improves accuracy through active learning and expert features.

The paper identifies an approximate line attractor in the VMHvl that encodes aggression intensity through slow-ramping dynamics in Esr1 neurons.

The paper introduces new voltage sensors that enable simultaneous cellular-resolution activity imaging from multiple neuron-types in awake animals.

This study investigates how birth timing influences the wiring and physiological response properties of cerebellar granule cells by comparing early- and late-born cells using viral tracing and in vivo imaging.

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.

This study shows that gamma synchrony between parvalbumin interneurons supports behavioral adaptation by enabling mice to update cue-reward associations.

This paper introduces an improved voltage indicator and imaging method to enable high-speed, high-resolution voltage imaging in deeply located neurons of awake mice.

The paper shows how mice use olfactory landmarks and path integration to form a cognitive spatial map in the hippocampus, improving navigation and place cell representation.

The paper identifies how two populations of neurons in the amygdala encode behavioral states through calcium dynamics in freely moving mice.

This paper introduces tensor components analysis to uncover low-dimensional neural dynamics across multiple timescales in diverse datasets.