Peter A. Groblewski

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 presents a database of spiking activity in the mouse visual system during an image change detection task, revealing task-specific coding patterns across brain regions.

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

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.

SHIELD enables large-scale electrophysiological recordings in mice by providing a skull-shaped implant for repeated multi-probe insertions across brain regions.

The paper examines how different behavioral strategies in mice affect neural activity in the Vip-Sst disinhibitory circuit during a visual change detection task.

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 maps brain-wide monosynaptic inputs to specific neuron classes in mouse visual cortex using an improved rabies virus tracing strategy and identifies connectivity patterns within and between visual areas.

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.

The paper provides a detailed cellular-resolution map of the mouse primary motor cortex, defining cell types and their connectivity.

This paper compares neural adaptation mechanisms to persistent activity in a visual change detection task using mice and artificial neural networks, finding that adaptation better matches neural and behavioral data.

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

This study identifies the anatomical composition and connectivity patterns of the mouse default mode network at the regional, layer, and cell-class levels.

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

The paper examines how visual experience affects activity dynamics and stimulus coding in excitatory and VIP inhibitory cells in mouse visual cortex during a change detection task.

The paper compares perceptual decisions across GCaMP6 transgenic mice during a visual task, finding high correlation despite differences in learning and motivation.

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 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.

The paper identifies shared and distinct transcriptomic cell types in two mouse neocortical regions using scRNA-seq, showing most excitatory types are region-specific while inhibitory types are shared.

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