Inhibitory postsynaptic potentials carry synchronized frequency information in active cortical networks.
By A. Hasenstaub, Yousheng Shu, B. Haider, U. Kraushaar, A. Duque, David A. McCormick. Neuron, 2005
658 citations recorded by the source corpus.
Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience
View Paper: https://www.semanticscholar.org/paper/49b6a13f5e5d62d988d8f07335e6f3398133b756
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
- Martin A. Vinck
- Xiao-Jing Wang
- György Buzsáki
- Pascal Fries
- Michael P. Stryker
- Cristopher Niell
- Stefano Panzeri
- John H. Reynolds
In Cognitive Neuroscience
- Martin A. Vinck
- Xiao-Jing Wang
- György Buzsáki
- Pascal Fries
- David J. Heeger
- James J. DiCarlo
- Michael P. Stryker
- Cristopher Niell
Citations in the corpus
- Rhythms For Cognition: Communication Through Coherence (2015, positive): “This excitatory phase of the gamma cycle sees decaying inhibition and a temporally focused rise in excitation (Hasenstaub et al., 2005; Salkoff et al., 2015; Vinck et al., 2013).”
- Mechanisms of Gamma Oscillations (2012, background): “…is that the delay between the timing of pyramidal cell and interneuron spikes is a prominent feature of gamma oscillations both in vivo and in vitro (Figure 3) (Bragin et al. 1995, Csicsvari et al. 2003, Hasenstaub et al. 2005, Mann et al. 2005, Hájos & Paulsen 2009, Tiesinga & Sejnowski 2009).”
- Neurophysiological and Computational Principles of Cortical Rhythms in Cognition (2010, background): “First, spiking probability of single neurons displays a peaked distribution of phases with respect to the field gamma cycle, with pyramidal cells leading perisomatictargeting interneurons by a few (ranging from 2 to 8) milliseconds (209, 408, 423, 632, 746).”
- Reconstruction and Simulation of Neocortical Microcircuitry. (2015, background): “, 1997), correlated activity (Hasenstaub et al., 2005; Livingstone, 1996; Salinas and Sejnowski, 2001; Shu et al., 2003; Silberberg et al., 2004; Singer, 1993), and the functional impact of individual neurons across cortical layers (Sakata and Harris, 2009; Schroeder and Foxe, 2002; Silva et al.”
- Spatial and temporal scales of neuronal correlation in primary visual cortex (2008, background): “…generated or modulated by other mechanisms, such as gamma oscillations produced by recurrent excitation and inhibition (Lytton and Sejnowski, 1991; Wang and Buzsáki, 1996; Traub et al., 2001; Hasenstaub et al., 2005; Morita et al., 2008) or gap-junction-coupled networks (Connors and Long, 2004).”
- Differential attention-dependent response modulation across cell classes in macaque visual area V4. (2007, background): “Intracellular studies also find that the repolarization of the membrane potential following a spike is slower among broad-spiking pyramidal neurons (McCormick et al., 1985; Nowak et al., 2003; Hasenstaub et al., 2005).”
- Trade-Off between Object Selectivity and Tolerance in Monkey Inferotemporal Cortex (2007, methodology): “To examine this, the recorded neuronal population was divided into putative inhibitory and excitatory neurons based on extracellular measures of excitatory and inhibitory neuronal typing suggested previously (Mountcastle et al., 1969; Gur et al., 1999; Frank et al., 2001; Bruno and Simons, 2002; Con”
- Three Groups of Interneurons Account for Nearly 100% of Neocortical GABAergic Neurons (2011, background): “Given the preponderance and magnitude of FS basket cell responses, they are likely key contributors to the control of excitation/inhibition balance in the cortex (Hasenstaub et al., 2005; Haider and McCormick, 2009).”
- Neural syntax: cell assemblies, synapsembles and readers (2010, neutral): “…short lasting (Engel et al., 2001; Fries, 2005; Gray and Singer, 1989; Whittington et al., 2000; Sirota et al., 2008) and often grouped by slower oscillations (Bragin et al., 1995; Canolty et al., 2006; Chrobak and Buzsáki, 1998; Hasenstaub et al., 2005; Sirota et al., 2008; Steriade, 2006).”
- The Normalization Model of Attention (2009, background): “Clues about the mechanisms that give rise to attention-dependent response synchronization come from studies conducted in anesthetized animals, showing that narrow spiking interneurons play a privileged role in response synchronization (Hasenstaub et al., 2005).”
- Correcting for the sampling bias problem in spike train information measures. (2007, background): “Another possibility for the relative unimportance of gamma-phase features might be that different subgroups of neurons present in the MUA signal lock to different phases in the gamma cycle, as suggested for inhibitory and excitatory neurons (Hasenstaub et al. 2005).”