[HTML][HTML] Transcriptomic cell type structures in vivo neuronal activity across multiple timescales

A Schneider, M Azabou, L McDougall-Vigier, DF Parks… - Cell reports, 2023 - cell.com
Cell type is hypothesized to be a key determinant of a neuron's role within a circuit. Here, we
examine whether a neuron's transcriptomic type influences the timing of its activity. We …

Learning time-invariant representations for individual neurons from population dynamics

L Mi, T Le, T He, E Shlizerman… - Advances in Neural …, 2023 - proceedings.neurips.cc
Neurons can display highly variable dynamics. While such variability presumably supports
the wide range of behaviors generated by the organism, their gene expressions are …

[HTML][HTML] Single-neuron models linking electrophysiology, morphology, and transcriptomics across cortical cell types

A Nandi, T Chartrand, W Van Geit, A Buchin, Z Yao… - Cell reports, 2022 - cell.com
Which cell types constitute brain circuits is a fundamental question, but establishing the
correspondence across cellular data modalities is challenging. Bio-realistic models allow …

A coupled autoencoder approach for multi-modal analysis of cell types

R Gala, N Gouwens, Z Yao, A Budzillo… - Advances in …, 2019 - proceedings.neurips.cc
Recent developments in high throughput profiling of individual neurons have spurred data
driven exploration of the idea that there exist natural groupings of neurons referred to as cell …

[HTML][HTML] A diversity of intrinsic timescales underlie neural computations

SE Cavanagh, LT Hunt, SW Kennerley - Frontiers in Neural Circuits, 2020 - frontiersin.org
Neural processing occurs across a range of temporal scales. To facilitate this, the brain uses
fast-changing representations reflecting momentary sensory input alongside more …

[HTML][HTML] Transcriptomic correlates of electrophysiological and morphological diversity within and across excitatory and inhibitory neuron classes

C Bomkamp, SJ Tripathy… - PLoS computational …, 2019 - journals.plos.org
In order to further our understanding of how gene expression contributes to key functional
properties of neurons, we combined publicly accessible gene expression, electrophysiology …

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

Y Wei, A Nandi, X Jia, JH Siegle, D Denman… - Nature …, 2023 - nature.com
The brain consists of many cell classes yet in vivo electrophysiology recordings are typically
unable to identify and monitor their activity in the behaving animal. Here, we employed a …

[HTML][HTML] Ancestral circuits for the coordinated modulation of brain state

M Lovett-Barron, AS Andalman, WE Allen, S Vesuna… - Cell, 2017 - cell.com
Internal states of the brain profoundly influence behavior. Fluctuating states such as
alertness can be governed by neuromodulation, but the underlying mechanisms and cell …

Cortical pyramidal and parvalbumin cells exhibit distinct spatiotemporal extracellular electric potentials

LJ Sukman, E Stark - Eneuro, 2022 - eneuro.org
Brain circuits are composed of diverse cell types with distinct morphologies, connections,
and distributions of ion channels. Modeling suggests that the spatial distribution of the …

[HTML][HTML] A deep-learning strategy to identify cell types across species from high-density extracellular recordings

M Beau, DJ Herzfeld, F Naveros, ME Hemelt… - bioRxiv, 2024 - ncbi.nlm.nih.gov
High-density probes allow electrophysiological recordings from many neurons
simultaneously across entire brain circuits but don't reveal cell type. Here, we develop a …