Jérôme A. Lecoq

This study examines neural responses in mouse visual cortex to natural and artificial visual stimuli, finding increased activity in response to natural mismatches but no change in dendritic-somatic coupling.

The paper shows that moving visual stimuli elicit topographic and directional responses in most entorhinal neurons, revealing visual input's role in shaping their activity.

This study shows psilocybin disrupts visual change detection by altering cortical dynamics, particularly in SST interneurons, leading to increased surprise signals.

The paper identifies a sparse set of neurons in the mouse visual cortex that mediate illusory contour inference through recurrent pattern completion.

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 challenges the conventional view of mouse higher visual cortex by proposing a unified-V2 hypothesis and presents a dataset for testing alternative models.

This study challenges hierarchical predictive coding models by showing that prediction error responses in visual cortex do not involve feedforward processing and that predictive suppression is not mediated by inhibitory interneurons.

The paper shows that unexpected events trigger contextual signaling in VIP and excitatory neurons in the visual cortex, using the Allen Institute dataset and dimensionality reduction techniques.

The paper shows that cortical pyramidal neurons exhibit distinct unexpected event signals in somata and distal apical dendrites that change over days, suggesting a role in hierarchical computation.

The paper shows that visual areas differentially encode temporal context and expectation in natural scenes, with representational drift observed in lower areas but not higher ones.

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.

The paper measures stimulus-evoked neurophysiological differentiation in mouse visual cortex neurons across layers and areas, finding greater differentiation in specific layers and areas for unscrambled stimuli.

DeepInterpolation improves signal-to-noise ratio in neuroscience data without sacrificing resolution, enhancing detection of neuronal activity across multiple modalities.

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.

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.

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.

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.

The paper expands the Allen Mouse Brain Connectivity Atlas by analyzing intracortical connections at the layer and cell class level, revealing modular organization and distinct projection patterns.

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 quantifies biological variation in the sizes, shapes, and locations of 11 visual cortical areas in mice, finding substantial size variation across the population.

The paper introduces a dual-plane mesoscopic imaging system that improves imaging throughput by combining temporal-division multiplexing and remote focusing.

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 introduces a new set of transgenic mouse lines for precise targeting and manipulation of brain cell types, enhancing genetic tools for neuroscience research.

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