Rafael Yuste

The paper investigates the structural and functional roles of dendritic spines in cortical circuits, showing they support neuronal ensembles through specific connectivity patterns and synaptic organization.

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

VesiclePy automates vesicle segmentation, classification, and spatial analysis in large-volume electron microscopy data, processing multiterabyte datasets and classifying vesicles into five types.

The paper investigates spike transmission failures in axons of mouse cortical pyramidal neurons in vivo, finding that spike failures occur in branches depending on geometry and frequency.

The paper reports that common AAV transduction procedures can induce artefactual Ca2+ micro-waves in the hippocampus and provides an alternative method to avoid this issue.

The paper develops an open-source pipeline to automatically track and extract calcium signals from individual neurons in Hydra, enabling large-scale analysis of neural activity.

The paper shows that neuronal ensembles in visual cortex are reactivated during hypnagogic sleep onset after prolonged visual stimulation.

The paper investigates how neuronal ensembles form by showing that optogenetic and electrical stimulation increase excitability and synaptic plasticity in mouse cortical neurons.

The paper analyzes 3D spine morphology in human and mouse neurons to show a morphological continuum, species differences, and age-related changes in spine size.

This study shows that increased spontaneous activity in the visual cortex mediates visual habituation by reducing cortical responsiveness through matching spontaneous and evoked activity levels.

The paper uses machine learning to identify and target cortical ensembles in mouse visual cortex, demonstrating the feasibility of closed-loop experiments with precise manipulation of functional ensembles.

The paper tracks neuronal ensembles in mouse visual cortex over weeks, finding both stable and transient ensembles, with core cells maintaining connectivity over time.

The paper analyzes dendritic spine morphology using electron microscopy and computer vision, finding that spine shapes form a continuum rather than distinct categories.

The paper identifies subnetworks in mouse visual cortex that encode context of visual stimuli, showing distinct responses to deviant and redundant stimuli.

This study shows prolonged anesthesia in mice leads to cognitive impairment and altered synaptic turnover in the cortex, with increased synapse formation during anesthesia and loss afterward.

This paper uses whole-body calcium imaging in Hydra to show osmolarity affects contraction bursts through specific neuronal and muscle circuits.

EMC2 tracks calcium dynamics in neurons of behaving animals, showing daily turnover in mouse visual cortex and identifying three neuron ensembles in Hydra.

The paper compares cell types in human and mouse cortex using single nucleus RNA-sequencing, finding conserved architecture with species-specific differences.

The paper uses in-vivo two-photon calcium imaging to show that seizures begin as silent microseizures in neuronal ensembles before becoming detectable by LFP.

The paper shows that activating specific pattern completion neurons in mouse visual cortex can improve or disrupt visual task performance, suggesting a causal role for neuronal ensembles in behavior.

This paper develops a dual-color two-photon microscope for 3D volumetric imaging of neural activity in awake mice, revealing new insights into cortical layer interactions and functional connectivity.

This study examines how medically-induced loss of consciousness affects cortical microstates and neuronal ensembles in mice and humans using imaging and electrophysiological data.

The paper develops a method to track neuronal activity in deformable organisms by correcting motion and aligning neurons using fiducials and point-set registration.

This paper introduces Light Sheet Theta Microscopy (LSTM) for high-resolution quantitative imaging of large biological systems, showing it achieves superior uniform resolution compared to traditional Light Sheet Microscopy.

The paper investigates how inhibitory control affects the spread of focal ictal activity in a rodent model, showing that localized inhibition defects can lead to both classical and epileptic network propagation.

The paper demonstrates a holographic system for 3D two-photon stimulation and imaging of neural activity in the mouse neocortex in vivo with cellular resolution.

The paper introduces multi-scale approaches to improve imaging and analysis of large neuronal populations by decimating spatial and temporal resolution to enable faster imaging or larger field of view with minimal accuracy loss.

The paper models how dendritic spine geometry modulates voltage from synaptic current using electro-diffusion theory and deconvolved voltage sensor data.