Shawn R. Olsen

Task Engagement Gates Interareal Communication Geometry in the Mouse Thalamocortical-Midbrain Visual Circuit

The paper investigates how task engagement affects interareal communication geometry in the mouse visual thalamocortical-midbrain circuit, showing reduced network activity and dimensionality.

Map of spiking activity underlying change detection in the mouse visual system

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.

Recurrent pattern completion drives the neocortical representation of sensory inference

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

A multimodal approach for visualization and identification of electrophysiological cell types in vivo

This paper introduces PhysMAP, a framework that uses multimodal electrophysiological data to identify and study cell types in vivo, showing improved alignment with transcriptomic cell types and circuit dynamics.

Deciphering neuronal variability across states reveals dynamic sensory encoding

The paper analyzes neuronal variability across brain states to understand how factors like internal dynamics, behavior, and stimuli influence sensory processing over time.

In vivo cell-type and brain region classification via multimodal contrastive learning

This paper introduces NEMO, a multimodal contrastive learning method for classifying cell types and brain regions from electrophysiological data, achieving state-of-the-art results on two opto-tagged datasets and the International Brain Laboratory Brain-wide Map dataset.

Hierarchical substrates of prediction in visual cortical spiking

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.

Coordinated changes in a cortical circuit sculpt effects of novelty on neural dynamics

The paper uses population network models and public datasets to analyze how cortical circuits adapt to stimulus novelty, finding weaker connections and shifts in neural population dynamics.

SHIELD: Skull-shaped hemispheric implants enabling large-scale-electrophysiology datasets in the mouse brain

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

Simple synaptic modulations implement diverse novelty computations

This paper introduces a simple synaptic learning mechanism that enables a neural network to detect novelty in three distinct forms, demonstrating how basic plasticity can generate diverse novelty responses.

Behavioral strategy shapes activation of the Vip-Sst disinhibitory circuit in visual cortex

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

Backward masking in mice requires visual cortex

This study shows that backward masking in mice requires visual cortex, as optogenetic silencing of the cortex restores target discrimination.

Ultra-high density electrodes improve detection, yield, and cell type identification in neuronal recordings

This paper introduces NP Ultra, a high-density electrode that improves neuronal recording yield, detection, and cell type classification in mice.

Uncovering circuit mechanisms of current sinksand sources with biophysical simulations ofprimary visual cortex

The paper uses biophysical simulations of mouse primary visual cortex to show that current sinks and sources are shaped by both synaptic weights and dendritic placement, with distinct contributions from thalamocortical inputs and cortical feedback.

Cortico-thalamo-cortical interactions modulate electrically evoked EEG responses in mice

The paper examines cortico-thalamo-cortical interactions in mice by analyzing EEG responses to cortical stimulation during wakefulness and anesthesia.

Associations between in vitro, in vivo and in silico cell classes in mouse primary visual cortex

The paper links in vitro, in vivo, and in silico cell classes in mouse visual cortex using computational modeling and optotagging experiments to identify distinct clusters with specific properties.

A survey of neurophysiological differentiation across mouse visual brain areas and timescales

This paper uses Neuropixels recordings to analyze neurophysiological differentiation (ND) in mouse visual brain areas across timescales, finding higher ND for naturalistic stimuli and successful detection trials.

Stimulus novelty uncovers coding diversity in survey of visual cortex

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

The Geometry of Representational Drift in Natural and Artificial Neural Networks

The paper examines representational drift in mouse visual cortex neurons, finding it occurs along high-variance directions and is similar to dropout in artificial neural networks, suggesting a computational advantage.

Influence of claustrum on cortex varies by area, layer, and cell type

This study shows that claustrum input affects cortical neurons differently based on brain area, layer, and cell type, suggesting functional modules in claustro-cortical circuits.

Adaptation supports short-term memory in a visual change detection task

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.

Reconciling functional differences in populations of neurons recorded with two-photon imaging and electrophysiology

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.

Geometry of inter-areal interactions in mouse visual cortex

The paper studies how interactions between mouse visual cortical areas change over time using functional connectivity analysis of neural activity data.

Anterior claustrum cells are responsive during behavior but not passive sensory stimulation

The paper uses microendoscope imaging in mice to show that anterior claustrum Gnb4+ neurons are active during behavior but not during passive sensory stimulation.

A survey of spiking activity reveals a functional hierarchy of mouse corticothalamic visual areas

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

Multi-regional module-based signal transmission in mouse visual cortex

The paper tracks spiking activity across six levels of the mouse visual hierarchy to identify two multi-regional communication modules with distinct signal flow and functional roles.

Systematic Integration of Structural and Functional Data into Multi-Scale Models of Mouse Primary Visual Cortex

The paper develops a multi-scale model of mouse primary visual cortex integrating structural and functional data to identify cell-class specific connectivity rules.

Experience shapes activity dynamics and stimulus coding of VIP inhibitory and excitatory cells in visual cortex

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.

Similar visual perception in GCaMP6 transgenic mice despite differences in learning and motivation

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

A large-scale, standardized physiological survey reveals higher order coding throughout the mouse visual cortex

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.