Impact of network activities on neuronal properties in corticothalamic systems.
By Mircea Steriade. Journal of Neurophysiology, 2001
600 citations recorded by the source corpus.
Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience
View Paper: https://www.semanticscholar.org/paper/d279c294fd5d67386545284a0bb7cc7f3ba7a772
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
- Nikos K. Logothetis
- Pierre Yger
- Jan Born
- Karl J. Friston
- R. J. Dolan
- Hugo D. Critchley
In Cognitive Neuroscience
- György Buzsáki
- Xiao-Jing Wang
- Karl J. Friston
- Olaf Sporns
- Nikos K. Logothetis
- Marcus E. Raichle
- Hugo D. Critchley
- Gustavo Deco
Citations in the corpus
- Learning-Dependent Increases in Sleep Spindle Density (2002, background): “Spindles have been shown to increase neocor - tical plasticity and neocortical synaptic responses , thus promoting memory consolidation ( Steriade , 2001a , b ) .”
- Defined types of cortical interneurone structure space and spike timing in the hippocampus (2005, background): “Reviewing the cell types and their spatio-temporal interactions, we suggest that CA1 pyramidal cells are supported by at least 16 distinct types of GABAergic neurone.”
- Natural logarithmic relationship between brain oscillators (2003, background): “For example, delta oscillations are believed to be dependent on the time course of Ca2+-mediated K+ conductance of cortical neurons (Buzsaki et al., 1988) and a hyperpolarization activation current, Ih of thalamo-cortical cells (Luthi and McCormick, 1998; Steriade, 2001a, b; McCormick, 2000).”
- Firing Rate Homeostasis in Visual Cortex of Freely Behaving Rodents (2013, background): “Thus, although the pattern of network activity is different across states as expected (Figures 4A–4C; Steriade, 2001), the average firing within V1 was not significantly modulated by sleep-wake transitions.”
- The cognitive activation theory of stress. (2004, background): “Corticocortical and corticothalamic neuronal loops are controlled by activating systems in the brainstem and in forebrain structures ( Steriade, 2001 ).”
- EEG alpha oscillations: the inhibition-timing hypothesis. (2007, background): “There is a large and impressive body of animal research focusing on intrinsic membrane properties which can be best studied in vitro (for a review cf. Steriade, 2001).”
- Dendritic excitability and synaptic plasticity. (2008, unknown): “Continuous synaptic barrage as well as -aminobutyric acid (GABA)-mediated inhibition has been shown to reduce AP backpropagation (735, 785).”
- Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging (2007, background): “Finally, much animal work has focused on slow (∼1 Hz) fluctuations in electrical membrane potential, referred to as up and down state”
- A neural mass model for MEG/EEG: : coupling and neuronal dynamics (2003, methodology): “In particular, the model we used does not accommodate explicitly subcortical structures such as the reticular nuclei of the thalamus, which is thought to be involved in the genesis delta and alpha oscillations of the EEG (Steriade, 2001; Lumer et al., 1997).”
- Cortex and Memory: Emergence of a New Paradigm (2009, background): “Probably among the latter are the periodic inputs from the thalamus (Steriade, 2001; Llinás, 1988), the so-called " inhibitory clocking networks " of interneurons (Buzsáki, Geisler, Henze, & Wang, 2004), and the loops of corticocortical connections.”
- BOLD correlates of EEG alpha phase-locking and the fMRI default mode network (2009, methodology): “This was motivated by models of cortico-thalamic networks (Destexhe, 2000; Destexhe et al., 1998; Lopes da Silva, 1991; Lopes da Silva et al., 1980, 1997; Steriade, 2001) and by the hypothesis that cortical networks may ‘bind’ through synchronous oscillations (Engel et al.”
- Very slow activity fluctuations in monkey visual cortex: implications for functional brain imaging. (2003, background): “At the same time, the basic role played by the thalamus in mediating interactions within this cortical network — when not ignored — is strongly debated (Ramcharan et al., 2000; Sherman and Guillery, 2000; Steriade, 2000, 2001b).”
- Stable Learning in Stochastic Network States (2012, background): “…neurons can display asynchronous irregular (AI) states (Brunel, 2000; Vogels and Abbott, 2005; Kumar et al., 2008; El Boustani and Destexhe, 2009; Marre et al., 2009) that produce spike discharge patterns similar to those reported in awake animals (Steriade, 2001; El Boustani et al., 2007).”
- The role of phase synchronization in memory processes (2011, background): “Moreover, oscillations of different frequencies can occur at the same time in the same brain region”
- Neurophysiological and Computational Principles of Cortical Rhythms in Cognition (2010, background): “A qualitatively similar scenario underlies the generation of slow ( 1 Hz) oscillations observed in quiet sleep (190, 195, 553, 610, 679, 776, 779, 839, 905, 912, 915, 916).”
- Pyramidal cell communication within local networks in layer 2/3 of rat neocortex (2003, background): “Individual neurons in vivo receive intense synaptic input and generate apparently random spike trains (for review see Steriade, 2001).”