Rhythms of the brain
By György Buzsáki. 2006
5,176 citations recorded by the source corpus.
Subfields: Plant Science
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Plant Science
- Marcus E. Raichle
- Justin Riddle
- Abraham Z. Snyder
- R. VanRullen
- Mattia F. Pagnotta
- D. Bassett
- Xiao-Jing Wang
- E. Bullmore
Citations in the corpus
- Phased LSTM: Accelerating Recurrent Network Training for Long or Event-based Sequences (2016, background): “An inspiration for using oscillations in recurrent networks comes from computational neuroscience [3], where rhythms have been shown to play important roles for synchronization and plasticity [22].”
- About sleep's role in memory. (2013, background): “Ripples arise from an interaction between inhibitory interneurons and pyramidal cells via synaptic (glutamatergic, GABAergic) connections and gap junctions (162).”
- Neuromorphic computing with nanoscale spintronic oscillators (2017, background): “recording structure down to junction diameter of 11 nm. Appl. Phys. Lett. 105, 062403 (2014).”
- Neuronal gamma-band synchronization as a fundamental process in cortical computation. (2009, background): “The first reports in cats and monkeys were followed by reports in rats and mice (Bragin et al. 1995, Buhl et al. 2003, Csicsvari et al. 2003, Buzsáki 2006, Montgomery & Buzsáki 2007, Montgomery et al. 2008) and in different invertebrates (Wehr & Laurent 1996, Stopfer et al. 1997, Laurent 2002).”
- Closed-loop and activity-guided optogenetic control. (2015, positive): “…systems like those in Buesing et al., 2014; Pfau et al., 2013), and change-point detection algorithms to identify rapid shifts in animal brain state (for example, those seen during sharp wave ripples as compared to during theta oscillations in hippocampus (Buzsaki, 2006) will all be useful.”
- The Virtual Brain: a simulator of primate brain network dynamics (2013, background): “These and related ideas have been exploited in neurosciences (Kelso, 1995; Buzsaki, 2006).”
- MNE software for processing MEG and EEG data (2013, methodology): “For several types of M/EEG data analysis it is relevant to quantify oscillatory activity as a function of time and location (Buzsaki, 2006).”
- The evolutionary neuroscience of musical beat perception: the Action Simulation for Auditory Prediction (ASAP) hypothesis (2013, background): “HYPOTHESIS AND THEORY ARTICLE published: 13 May 2014 doi: 10.3389/fnsys.2014.00057 The evolutionary neuroscience of musical beat perception: the Action Simulation for Auditory Prediction (ASAP) hypothesis”
- Spin-torque building blocks. (2014, background): “here the coupling is mediated by synapses. Assemblies of neural oscillators can self-synchronize, in frequency or phase, defining and linking vast areas of the brain where neurons oscillate in unison [101]. Similarly, spin-torque oscillators can self-synchronize when coupled via a mutual electrical ”
- A default mode of brain function: A brief history of an evolving idea (2007, methodology): “For a comprehensive review of spontaneous neuronal activity we recommend the recent book by György Buzsaki (Buzsaki, 2006).”
- Theta oscillations provide temporal windows for local circuit computation in the entorhinal-hippocampal loop (2009, background): “for Local Circuit Computation in the Entorhinal-Hippocampal Loop”
- A Common Neural Substrate for Language Production and Verbal Working Memory (2011, neutral): “…the reality of a cognitive construct (in this case, a WM buffer called the phonological store) is assumed to be true, and the only goal of the experiment is to identity where in the brain this cognitive construct is implemented (e.g., van Eijsden, Hyder, Rothman, & Shulman, 2009; Buzsaki, 2006).”
- Gamma-band synchronization in the neocortex: novel analysis methods and their application to sensory and motivational systems (2013, background): “The division of labor among different inhibitory interneurons is still poorly understood (Monyer & Markram, 2004; Jonas et al., 2004; Whittington & Traub, 2003; Buzsáki, 2006; Gentet, 2012).”
- Endogenous Electric Fields May Guide Neocortical Network Activity (2010, neutral): “In vivo, however, neurons are hardly ever quiescent but are rather involved in the generation of a large number of different activity states that often exhibit complex oscillatory structures (Buzsáki, 2006).”