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The Asynchronous State in Cortical Circuits
TLDR
It is shown theoretically that recurrent neural networks can generate an asynchronous state characterized by arbitrarily low mean spiking correlations despite substantial amounts of shared input, which generates negative correlations in synaptic currents which cancel the effect of sharedinput. Expand
Accuracy of tetrode spike separation as determined by simultaneous intracellular and extracellular measurements.
TLDR
It is hypothesized that automatic spike-sorting algorithms have the potential to significantly lower error rates, and implementation of a semi-automatic classification system confirms this suggestion, reducing errors close to the estimated optimum, in the range 0-8%. Expand
Characterization of neocortical principal cells and interneurons by network interactions and extracellular features.
TLDR
High-density parallel recordings of neuronal activity, determination of their physical location and their classification into pyramidal and interneuron classes provide the necessary tools for local circuit analysis. Expand
Intracellular features predicted by extracellular recordings in the hippocampus in vivo.
TLDR
A large percentage of hippocampal CA1 pyramidal cells are silent in any given behavioral condition, and it is determined that a tetrode in hippocampal area CA1 theoretically should be able to record electrical signals from approximately 1, 000 neurons. Expand
Quantitative measures of cluster quality for use in extracellular recordings
TLDR
In data sets from the rodent hippocampus in which neurons were simultaneously recorded intracellularly and extracellularly, values of Isolation Distance and Lratio were related to the correct identification of spikes. Expand
Cortical state and attention
TLDR
It is suggested that selective attention involves processes that are similar to state change, and that operate at a local columnar level to enhance the representation of otherwise non-salient features while suppressing internally generated activity patterns. Expand
Molecular Architecture of the Mouse Nervous System
TLDR
RNA sequencing of half a million single cells was used to create a detailed census of cell types in the mouse nervous system and mapped cell types spatially and derived a hierarchical, data-driven taxonomy. Expand
Laminar Structure of Spontaneous and Sensory-Evoked Population Activity in Auditory Cortex
TLDR
The similarity of sparseness patterns for both neural events and distinct spread of activity may reflect similarity of local processing and differences in the flow of information through cortical circuits, respectively. Expand
The neocortical circuit: themes and variations
Similarities in neocortical circuit organization across areas and species suggest a common strategy to process diverse types of information, including sensation from diverse modalities, motor controlExpand
Spontaneous Events Outline the Realm of Possible Sensory Responses in Neocortical Populations
TLDR
The results suggest that population spike patterns are drawn from a limited "vocabulary," sampled widely by spontaneous events but more narrowly by sensory responses. Expand
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