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… 
View on Nature
buzsakilab.org
1,590 Citations
Highly Influential Citations
97
Background Citations
794
Methods Citations
182
Results Citations
10

1,590 Citations

Recording Large-scale Neuronal Ensembles with Silicon Probes in the Anesthetized Rat

TLDR
An acute, large-scale neuronal recording from the left and right forelimb somatosensory cortex simultaneously in an anesthetized rat with silicon probes is described.

Statistical modeling of spiking activity in large scale neuronal networks

TLDR
This approach shows how to incorporate the extra-stimulus data in identifying single cell firing properties, as well as taking a step toward reconciling the understanding of single cells with the computations being performed by the larger network.

Detecting cell assemblies in large neuronal populations

Measuring the Quality of Neuronal Identification in Ensemble Recordings

TLDR
Information theoretic measures of action potential waveform isolation applicable to any dataset that have an intuitive, universal interpretation, that are not dependent on the methods or choice of parameters for single-unit isolation, and that have been validated using a dataset of simultaneous intracellular and extracellular neuronal recordings from Sprague Dawley rats are described.

Techniques for extracting single-trial activity patterns from large-scale neural recordings

Predicting synchronous firing of large neural populations from sequential recordings

TLDR
This work shows that it can infer the activity of a full population of retina ganglion cells from sequential recordings, using a novel method based on copula distributions and maximum entropy modeling, and could generalize to predict the population responses to different stimuli and even to different experiments.

Test Statistics for the Identification of Assembly Neurons in Parallel Spike Trains

TLDR
Several statistical tests are presented to identify assembly neurons (i.e., neurons that participate in a neuronal assembly) from parallel spike trains with the aim of reducing the set of neurons to a relevant subset of them and this way ease the task of identifying neuronal assemblies in further analyses.

Characterizing single neuron activity patterns and dynamics using multi-scale spontaneous neuronal activity recordings of cat and mouse cortex

TLDR
This thesis shows that ongoing spontaneous brain activity contains substantial structure that can be used to further the understanding of brain function.

Framework for automated sorting of neural spikes from Neuralynx-acquired tetrode recordings in freely-moving mice

TLDR
It is predicted that within the broad field of bioelectronic medicine, those teams that incorporate high-density neural recording devices to their armamentarium might find the simple-to-execute framework quite valuable as they expand their analytical footprint.

NeuroGrid: recording action potentials from the surface of the brain

TLDR
The NeuroGrid constitutes an effective method for large-scale, stable recording of neuronal spikes in concert with local population synaptic activity, enhancing comprehension of neural processes across spatiotemporal scales and potentially facilitating diagnosis and therapy for brain disorders.
...

References

SHOWING 1-10 OF 72 REFERENCES

The Variable Discharge of Cortical Neurons: Implications for Connectivity, Computation, and Information Coding

TLDR
It is suggested that quantities are represented as rate codes in ensembles of 50–100 neurons, which implies that single neurons perform simple algebra resembling averaging, and that more sophisticated computations arise by virtue of the anatomical convergence of novel combinations of inputs to the cortical column from external sources.

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

What ensemble recordings reveal about functional hippocampal cell encoding.

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.

Automatic sorting of multiple unit neuronal signals in the presence of anisotropic and non-Gaussian variability

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.

Neuronal ensembles : strategies for recording and decoding

Massively parallel recording of unit and local field potentials with silicon-based electrodes.

TLDR
Developing micro-machined silicon microelectrode arrays for unit and local field recordings for parallel recording of neuronal activity in the behaving animal and for high-resolution estimation of extracellular current source density is described.

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.
...