Behavior-dependent short-term assembly dynamics in the medial prefrontal cortex
By Shigeyoshi Fujisawa, Asohan Amarasingham, Matthew T. Harrison, György Buzsáki. Nature Neuroscience, 2008
662 citations recorded by the source corpus.
Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience
View Paper: https://www.semanticscholar.org/paper/535f72add821212ac38f7f2205365aa2c91b0668
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
- Adrien Peyrache
- Wolfgang Maass
- Mark G. Stokes
- Kenji Mizuseki
- Mehdi Khamassi
- Anton M. Sirota
- E. Pastalkova
In Cognitive Neuroscience
- György Buzsáki
- Adrien Peyrache
- Wolfgang Maass
- Mark G. Stokes
- Stefan Klampfl
- Kenji Mizuseki
- Mehdi Khamassi
- Anton M. Sirota
Citations in the corpus
- Dynamic Coding for Cognitive Control in Prefrontal Cortex (2013, background): “Shortterm plasticity has recently been identified as a possible basis for maintaining information in WM (Erickson et al., 2010; Fujisawa et al., 2008; Mongillo et al., 2008).”
- Theta oscillations provide temporal windows for local circuit computation in the entorhinal-hippocampal loop (2009, methodology): “Dashed lines indicate 1% and 99% global confidence intervals estimated by spike jittering on a uniform interval of [ 5,5] ms (Fujisawa et al., 2008).”
- Cell diversity and network dynamics in photosensitive human brain organoids (2017, background): “To determine if active neurons were functionally connected, we analysed the spike train cross-correlograms and detected positive peaks with a short lag time, indicative of excitatory monosynaptic connections 33,34 (Fig.”
- Emergence of Dynamic Memory Traces in Cortical Microcircuit Models through STDP (2013, background): “In fact, a fairly large number of experimental studies (Abeles, 1991; Jones et al., 2007; Luczak et al., 2007; Fujisawa et al., 2008; Pastalkova et al., 2008; Luczak et al., 2009; Bathellier et al., 2012; Harvey et al., 2012; Xu et al., 2012) suggest that stereotypical trajectories of network…”
- Physiological properties and behavioral correlates of hippocampal granule cells and mossy cells (2017, neutral): “To assess the state-dependent changes in spike transmission probabilities, we calculated the peak-to-background firing rate difference of short-timescale cross-correlograms (Fujisawa et al., 2008) between principal cells and interneurons and between granule cells and mossy cells.”
- Coherent theta oscillations and reorganization of spike timing in the hippocampal- prefrontal network upon learning. (2010, positive): “Interneuron-Principal Neuron Inhibitory Efficacy Is Enhanced during High Coherence Periods Behavior can strongly modulate inhibition in the Pfc (Constantinidis and Goldman-Rakic, 2002; Fujisawa et al., 2008) and, in turn, inhibition can exert a powerful influence on the firing phase of principal neu”
- Hippocampal sharp wave‐ripple: A cognitive biomarker for episodic memory and planning (2015, background): “nisms are at work in the prefrontal (Fujisawa et al., 2008) and”
- The Effects of Acute Exercise on Mood, Cognition, Neurophysiology, and Neurochemical Pathways: A Review (2016, background): “As the prefrontal cortex is a recipient of this sequential activity from the hippocampus [77, 78], prefrontal cortical neurons exhibit similar predictive or preparatory behavior during running [79], which is of particular interest as prefrontal cortex function clearly benefits from acute exercise (s”