Eric Lee

Multimodal characterization of putative pan-inhibitory viral constructs in macaque monkeys

This study evaluates three pan-inhibitory viral constructs in macaques to assess their efficacy in targeting inhibitory neurons and modulating neural activity.

Distinct neural dynamics in prefrontal and premotor cortex during flexibleperceptual decisions

This study shows that prefrontal and premotor cortex use distinct neural dynamics to implement different computations during flexible perceptual decisions, with DLPFC using higher-dimensional representations and PMd reflecting only the selected action.

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.

Neuropixels reveal structure-function relationships in monkey V1 in vivo

The paper uses high-density Neuropixels recordings and machine learning to identify cell classes in monkey V1 and demonstrate structural-function relationships in the microcircuit.

A ubiquitous spectrolaminar motif across independent studies, including in the Mackey et al. dataset

The paper reaffirms the ubiquity of a spectrolaminar motif across multiple datasets and introduces an improved tool to identify it.

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.

PhysMAP - interpretable in vivo neuronal cell type identification using multi-modal analysis of electrophysiological data

PhysMAP identifies neuronal cell types from electrophysiological data by integrating multiple modalities, outperforming single-modal approaches in mouse brain recordings.

Learning from unexpected events in the neocortical microcircuit

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 information bottleneck as a principle underlying multi-area cortical representations during decision-making

The paper shows that brain areas form minimal sufficient representations of task inputs through preferential propagation of relevant information during decision-making.

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.

A whole-brain monosynaptic input connectome to neuron classes in mouse visual cortex

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.

A standardized non-visual behavioral event is broadcasted homogeneously across cortical visual areas without modulating visual responses

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.

Measuring stimulus-evoked neurophysiological differentiation in distinct populations of neurons in mouse visual cortex

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.

Non-linear Dimensionality Reduction on Extracellular Waveforms Reveals Physiological, Functional, and Laminar Diversity in Premotor Cortex

This paper introduces WaveMAP, a method using non-linear dimensionality reduction and graph clustering to identify cell types in premotor cortex, revealing new physiological and functional diversity.

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.

VIP interneurons selectively enhance weak but behaviorally-relevant stimuli.

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.

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.

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.