Large-scale recording of neuronal ensembles

@article{Buzski2004LargescaleRO,
  title={Large-scale recording of neuronal ensembles},
  author={Gy{\"o}rgy Buzs{\'a}ki},
  journal={Nature Neuroscience},
  year={2004},
  volume={7},
  pages={446-451}
}
  • G. Buzsáki
  • Published 1 May 2004
  • Biology
  • Nature Neuroscience
How does the brain orchestrate perceptions, thoughts and actions from the spiking activity of its neurons? Early single-neuron recording research treated spike pattern variability as noise that needed to be averaged out to reveal the brain's representation of invariant input. Another view is that variability of spikes is centrally coordinated and that this brain-generated ensemble pattern in cortical structures is itself a potential source of cognition. Large-scale recordings from neuronal… 
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References

SHOWING 1-10 OF 72 REFERENCES
Automatic sorting for multi-neuronal activity recorded with tetrodes in the presence of overlapping spikes.
TLDR
The present procedure applies the ICA and the efficiency of the ordinary spike-sorting technique (k-means clustering) to solve the spike-overlapping and the nonstationarity problems with no limitation on the number of single neurons to be separated and provides insights into the local circuit bases of excitatory and inhibitory interactions among neighboring neurons.
Interaction between spike waveform classification and temporal sequence detection
Organization of cell assemblies in the hippocampus
TLDR
Here it is found that the spike times of hippocampal pyramidal cells can be predicted more accurately by using the Spike times of simultaneously recorded neurons in addition to the animals location in space, suggesting that cell assemblies are synchronized at this timescale.
Using multi-neuron population recordings for neural prosthetics
  • J. Chapin
  • Biology, Psychology
    Nature Neuroscience
  • 2004
TLDR
M Mathematical analysis of neural population codes allows extraction of 'motor signals' from neuronal population recordings in the motor cortices, which can then be used in real-time to directly control movement of a robot arm.
Brain-state- and cell-type-specific firing of hippocampal interneurons in vivo
TLDR
It is reported that three distinct interneuron types—basket, axo-axonic and oriens–lacunosum-moleculare cells—visualized and defined by synaptic connectivity as well as by neurochemical markers, contribute differentially to theta and ripple oscillations in anaesthetized rats.
Replay and Time Compression of Recurring Spike Sequences in the Hippocampus
TLDR
It is hypothesized that the endogenously expressed spike sequences during sleep reflect reactivation of the circuitry modified by previous experience and serve to consolidate information in neuronal networks.
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%.
...
...