Samuel Garcia

This study finds no memory benefit from wakeful rest over a distraction task, with no EEG correlates of consolidation and methodological factors contributing to inconsistent results.

The paper introduces a modular framework for spike sorting that allows individual algorithmic steps to be benchmarked and optimized, improving performance on simulated data and matching real data results.

The paper introduces a power calculator for behavioral neuroscience experiments evaluating success rates, showing how adjusting experimental parameters can increase statistical power with small sample sizes.

DREDge improves motion correction in high-density extracellular recordings across species, enhancing reliability and reducing errors in electrophysiological data.

This study assesses odor-evoked respiratory responses in congenitally blind and sighted mice across developmental stages to evaluate olfactory function and plasticity.

This study investigates how pleasant odors affect autonomic responses and brain-body rhythm coupling compared to music, finding that odors uniquely slow breathing and synchronize physiological and neural activity.

Spyglass provides a reproducible and shareable framework for neuroscience research, enabling data reuse and analysis across labs using standardized formats and pipelines.

The paper investigates respiration changes in a rat Parkinson disease model across different behavioral states, finding increased respiratory frequency and amplitude during quiet waking but not sleep.

This paper benchmarks motion correction algorithms for high-density extracellular recordings to evaluate their effectiveness in handling mechanical drifts during spike sorting.

This paper introduces DREDge, an algorithm for robust online drift estimation in electrophysiology data, improving scalability and temporal resolution for human and mouse recordings.

The paper identifies distinct brain networks for remote episodic memory in rodents, showing that memory content and emotional value influence network activation and memory retention.

This study benchmarks spike sorting performance in the presence of spike collisions using synthetic data, finding that all methods struggle with detecting synchronous spikes from neurons with similar signals.

The paper shows that during quiet waking, the brain's respiratory drive is optimal due to a specific respiration regime involving deep and prolonged inspiration.

SpikeInterface provides a unified framework to run, compare, and benchmark spike sorting algorithms, reducing manual curation and enabling comprehensive benchmarking of automated methods.

The paper examines respiration and brain oscillatory activity in rats during odor fear learning, finding theta rhythms modulate interval timing while gamma rhythms do not, suggesting theta's preferential role in timing.

SpikeForest benchmarks spike sorting algorithms using a curated database of electrophysiological recordings with ground truth, providing interactive results to guide optimal sorter selection.

This study investigates the relationship between 22-kHz ultrasonic vocalizations, respiration, and brain oscillatory dynamics during fear responses in rats.