Large-scale recording of neuronal ensembles
By György Buzsáki. Nature Neuroscience, 2004
1,845 citations recorded by the source corpus.
Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/a09408e3524ad26e1b9542f7bcdb487d0c56064f
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cellular and Molecular Neuroscience
- György Buzsáki
- Xiao-Jing Wang
- Kenneth D. Harris
- Rafael Yuste
- Martin A. Vinck
- David W. Tank
- Peter Jonas
- Pierre Yger
In Cognitive Neuroscience
- György Buzsáki
- Xiao-Jing Wang
- Rafael Yuste
- Kenneth D. Harris
- Martin A. Vinck
- David W. Tank
- Pierre Yger
- Peter Jonas
In Electrical and Electronic Engineering
- Pierre Yger
- Xiao-Jing Wang
- Kenneth D. Harris
- Rafael Yuste
- David W. Tank
- Ueli Rutishauser
- Christopher D. Harvey
- Adam N. Mamelak
Citations in the corpus
- Past, present and future of spike sorting techniques (2015, background): “With any of these meth-ods, a single tetrode can isolate up to a couple dozens of neurons, something that is important, for example, to study properties of cell assemblies (Buzsáki, 2004”
- Online detection and sorting of extracellularly recorded action potentials in human medial temporal lobe recordings, in vivo. (2006, positive): “time and thus yield large amounts of data. However, it has proven difficult to store, process and analyze these large data sets because efficient methods for processing and analysis are lacking (see (Buzsaki 2004) for a discussion of these issues). An online spike detection and sorting algorithm, su”
- A spike sorting toolbox for up to thousands of electrodes validated with ground truth recordings in vitro and in vivo (2018, background): “In particular, some of the cells recorded with loose patch can evoke only a small spike on the extracellular electrode, for example if they are far from the nearest electrode or if their soma is small (Buzsáki, 2004).”
- Complex oscillatory waves emerging from cortical organoids model early human brain network development (2019, background): “Synchronous Oscillations as a Signature of Functional Network Activity The presence and changes of oscillations at fast timescales (>1 Hz) is a hallmark of the in vivo brain, and coupling across different frequencies has been proposed to coordinate the flow of information across regions (Buzsáki, 20”
- Fully Integrated Silicon Probes for High-Density Recording of Neural Activity (2017, neutral): “Finally, we sought to (6) enable long-term recording stability and (7) ensure low-cost scalable fabrication.”
- Extracting information from neuronal populations: information theory and decoding approaches (2009, neutral): “H(S|R) = –Σ P(r) · P(s|r) log2P(s|r) s,r (4)”
- Consciousness as a phenomenon in the operational architectonics of brain organization: Criticality and self-organization considerations (2013, background): “indication of the collective behaviour at an emergent mesoscopic scale – neuronal assembly formation [132,151,152].”
- Functional imaging of hippocampal place cells at cellular resolution during virtual navigation (2010, positive): “Tetrode array recordings combined with spike sorting procedures can be used to identify many ( ∼ 5) single units per tetrode 38 , 39 .”
- Imaging large-scale neural activity with cellular resolution in awake, mobile mice. (2007, neutral): “It is tempting to make the assumption that all of the activity seen in the � 77% of active neurons is action potential related in order to compare to extracellular recording studies that find activity from a far smaller percentage of neurons ( Buzsaki, 2004; Shoham et al., 2006).”
- Kilosort: realtime spike-sorting for extracellular electrophysiology with hundreds of channels (2016, background): “In the frequency range typical of spikes, spatially correlated noise arises primarily from neurons far from the probe, whose spikes are too small to sort directly 16,23 and have a large spatial spread over the surface of the probe.”
- Neurophysiological and Computational Principles of Cortical Rhythms in Cognition (2010, methodology): “density multielectrode recording (142, 560, 771) and two-”
- Broadband shifts in LFP power spectra are correlated with single-neuron spiking in humans (2009, background): “…oscillatory activity from large neuronal ensembles in both humans and animals, and has shown that these brain oscillations are related to a wide variety of behavioral and cognitive states (Kahana et al., 2001; Buzsáki, 2004, 2006; Crone et al., 2006; Jacobs and Kahana, 2009; Jerbi et al., 2009).”
- Bridging the brain to the world: a perspective on neural interface systems. (2008, neutral): “Since spikes can be detected only at distances significantly smaller than 150 mm from cell of origin ( Buzsaki, 2004 ), motion tolerance is limited.”