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Colin Farrell

Researcher at Allen Institute for Brain Science

Publications -  25
Citations -  1511

Colin Farrell is an academic researcher from Allen Institute for Brain Science. The author has contributed to research in topics: Visual cortex & Neocortex. The author has an hindex of 11, co-authored 20 publications receiving 783 citations.

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Classification of electrophysiological and morphological neuron types in the mouse visual cortex.

TL;DR: A single-cell characterization pipeline is established using standardized patch-clamp recordings in brain slices and biocytin-based neuronal reconstructions to establish a morpho-electrical taxonomy of cell types for the mouse visual cortex via unsupervised clustering analysis of multiple quantitative features.
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A large-scale standardized physiological survey reveals functional organization of the mouse visual cortex

TL;DR: An open, large-scale physiological survey of activity in the awake mouse visual cortex: the Allen Brain Observatory Visual Coding dataset is reported, revealing response specializations within the mouseVisual cortex.
Journal ArticleDOI

Integrated Morphoelectric and Transcriptomic Classification of Cortical GABAergic Cells.

TL;DR: 28 met- types are defined that have congruent morphological, electrophysiological, and transcriptomic properties and robust mutual predictability, and layer-specific axon innervation pattern is identified as a defining feature distinguishing different met-types.
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Survey of spiking in the mouse visual system reveals functional hierarchy

Joshua H. Siegle, +91 more
- 20 Jan 2021 - 
TL;DR: In this paper, a large-scale dataset of tens of thousands of units in six cortical and two thalamic regions in the brains of mice responding to a battery of visual stimuli is presented.
Posted ContentDOI

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

TL;DR: An open, large-scale physiological survey of neural activity in the awake mouse visual cortex: the Allen Brain Observatory Visual Coding dataset is reported, revealing functional differences across these dimensions and showing that visual cortical responses are sparse but correlated.