Samantha R. Santacruz

Distinct roles of neuronal phenotypes during neurofeedback adaptation

The paper investigates single-neuron dynamics during neurofeedback adaptation in rhesus macaques, finding that inhibitory interneurons are more active and engaged in learning compared to excitatory pyramidal neurons.

Long-term neuron tracking reveals balance of stability and plasticity in functional properties

This study tracks individual neurons over time to show that while spike waveforms remain stable, some functional properties like firing rates and tuning can change, indicating a balance between neural stability and plasticity.

Population-level constraints on single neuron tuning changes during behavioral adaptation

This study examines how individual neurons adapt during behavioral training and finds that neurons with strong population co-variation and prior behavioral contribution are less likely to change their activity.

Identification of Recurrent Dynamics in Distributed Neural Populations

This paper develops a scalable approach to recover recurrent dynamics in neural time series data using low-rank tensors and demonstrates its application to simulated human brain connectivity.

Hydrogen-bonded organic framework nanotransducers enabled sono-optogenetics for Parkinsonian rats

This paper develops a non-invasive optogenetics method using ultrasound-triggered nanotransducers to modulate Parkinsonian rats' neurons and improve movement dysfunction.

Volitional Regulation and Transferable Patterns of Midbrain Oscillations

This paper demonstrates neurofeedback using VTA LFP signals in non-human primates, showing transferable control strategies and potential for clinical applications.

Multiscale effective connectivity analysis of brain activity using neural ordinary differential equations

This paper introduces a deep learning model to analyze multiscale brain activity dynamics and demonstrates its effectiveness in capturing causal interactions across scales.

Neural population variance explains adaptation differences during learning

The paper investigates how neural spiking variability affects adaptation during a brain-computer interface task in rhesus macaques, finding that population variance metrics differ between easy and hard adaptation conditions.

Head-mounted microendoscopic calcium imaging in dorsal premotor cortex of behaving rhesus macaque

This paper demonstrates head-mounted microendoscopic calcium imaging in rhesus macaques, enabling long-term, high-resolution recording of neural activity during natural motor tasks.

Inferring system-level brain communication through multi-scale neural activity

This paper introduces a model to infer brain communication across scales and shows it outperforms existing methods in accuracy and predictive power.