Marina Garrett

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.

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.

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.

Differential encoding of temporal context and expectation under representational drift across hierarchically connected areas

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.

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.

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.

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.

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.

Biological variation in the sizes, shapes and locations of visual cortical areas in the mouse

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.

Higher-order thalamic circuits channel parallel streams of visual information in mice

The paper identifies three subregions in the mouse lateral posterior nucleus that form corticothalamic loops biased towards ventral or dorsal visual streams and reveal distinct input sources driving their activity.

Aberrant Cortical Activity In Multiple GCaMP6-Expressing Transgenic Mouse Lines

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