Saskia E. J. de Vries

The paper introduces THALMANAC, a resource for analyzing single-cell transcriptomic data of the thalamus, revealing gene expression patterns that support and refine thalamic nucleus parcellation.

The paper introduces ExA-SPIM, a microscope that enables high-resolution imaging of large tissue samples without sectioning, demonstrating its use on mouse brains and human white matter.

The paper identifies neural assemblies consistent with Hebb's theory using a novel dataset linking optical physiology to connectivity, finding they are structurally integrated but not defined by strong monosynaptic connections.

The paper analyzes saccade-responsive neurons in visual cortex, finding their distribution varies by cell type, area, and layer, but they do not show distinct visual response properties.

The paper identifies diverse functional neuron types in the visual cortex that process novel and familiar stimuli in mice.

The paper investigates how a standardized non-visual motor behavior is represented in visual cortex areas and finds it elicits consistent neural responses independent of visual processing.

This study compares neuronal responses in visual cortex using electrophysiology and two-photon imaging in awake mice, finding differences in responsiveness and selectivity and exploring data transformations to reconcile them.

The paper characterizes the relationship between spiking activity and fluorescence signals in GCaMP6-expressing neurons, finding GCaMP6s has better single-spike detection than GCaMP6f.

The paper presents a dataset and analysis of spiking activity across multiple mouse visual areas, revealing that functional connectivity mirrors anatomical hierarchy.

This study shows how different inclusion criteria in calcium imaging affect reported tuning properties of mouse visual cortex neurons, leading to conflicting results between studies.

The paper describes an engineering system for standardized in vivo physiological recordings in mice, enabling large-scale, cross-platform data collection.

The paper presents a large-scale dataset of neural activity in the mouse visual cortex and shows that responses to different stimuli are largely independent, suggesting multi-layer hierarchical computation.

The paper shows VIP interneurons in mouse visual cortex have complementary contrast tuning to SST neurons and synergistically respond to visual motion and locomotion, enhancing behaviorally-relevant stimuli while maintaining network stability.

The paper identifies direction-reversing neurons in the mouse visual system that change their preferred motion direction under different spatiotemporal stimuli, supported by an asymmetric filter model.

This study calibrates two-photon calcium imaging to recover action potentials in mice, finding that fluorescence changes are inconsistent for small spike numbers and vary by mouse line.

The paper develops a biophysically detailed in silico model of layer 4 of the mouse primary visual cortex, showing how functional synaptic connectivity reproduces experimental observations of neuronal responses to visual stimuli.

The paper reports aberrant cortical activity and fluorescence events in some GCaMP6-expressing transgenic mice, suggesting potential artifacts in neuronal recordings.