Organization of cell assemblies in the hippocampus
By Kenneth D. Harris, J. Csicsvari, H. Hirase, George Dragoi, György Buzsáki. Nature, 2003
871 citations recorded by the source corpus.
Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience
View Paper: https://www.semanticscholar.org/paper/eb84341018bc6e5775815a37c74876e1e5a1e5fb
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
- Loren M. Frank
- Xiao-Jing Wang
- Edvard I. Moser
- David J. Foster
- Ole Jensen
- John E. Lisman
- May-Britt Moser
In Cognitive Neuroscience
- György Buzsáki
- Loren M. Frank
- Xiao-Jing Wang
- Ole Jensen
- Edvard I. Moser
- John E. Lisman
- David J. Foster
- May-Britt Moser
Citations in the corpus
- Neural syntax: cell assemblies, synapsembles and readers (2010, positive): “competing assemblies? Since assembly members are typically drawn from sparsely firing neurons of a large neuron network (Fujisawa et al., 2008; Harris et al., 2003; Sakata and Harris, 2009), only a few principal cells are typically active in a given volume of tissue at any given time.”
- The molecular logic of endocannabinoid signalling (2003, background): “and be involved in the organization of hippocampal cell assemblie”
- Dynamic cross-frequency couplings of local field potential oscillations in rat striatum and hippocampus during performance of a T-maze task (2008, background): “Gamma oscillations (30–100 Hz) have also received special attention because of their proposed role in functions such as sensory binding (18), selective attention (19–21), transient neuronal assembly formation (22), and information transmission and storage (23–25).”
- Large-scale recording of neuronal ensembles (2004, background): “Alternatively, we may hypothesize that the 'noise', that is, the mismatch between the physical input and neuronal response, reflects self-organized patterns in the brain, and it is this centrally coordinated activity of cortical neurons that creates cognitio”
- Maximum likelihood estimation of cascade point-process neural encoding models (2004, methodology): “…(cid:1) x can also include ‘internal’ signals, such as the activity of a population of simultaneously recorded neighbor cells (Tsodyks et al 1999, Harris et al 2003, Paninski et al 2004b, Truccolo et al 2003, Nykamp 2003) or the time since the last spike of the neuron under study (this last…”
- Mechanisms of Gamma Oscillations (2012, background): “Based on Harris et al. (2003). is caused when a subset of the interneurons begins to discharge together and generates synchronous IPSPs in the partner neurons.”
- The Theta-Gamma Neural Code (2013, positive): “These sequences are called “sweeps” because the firing order correspond to the cells’ place field centers along the track (Gupta et al., 2012) see also (Dragoi and Buzsaki, 2006; Gupta et al., 2012; Harris et al., 2003; Skaggs et al., 1996).”
- Gamma and Theta Rhythms in Biophysical Models of Hippocampal Circuits (2010, background): “One such reason was discussed in Börgers and Kopell (2008) in the context of attention; although the assemblies were thought of as neocortical, similar issues pertain to the hippocampus, where cell assemblies have been recorded and analyzed (Harris et al., 2003).”
- Neurophysiological and Computational Principles of Cortical Rhythms in Cognition (2010, background): “between neurons (419), which are critical for STDP.”
- Laminar structure of spontaneous and sensory-evoked population activity in auditory cortex (2009, positive): “To estimate how well a neuron's firing rate could be predicted from the tone presented, we used a cross-validation approach, which provides a lowerbound estimate of the cells information content (Harris et al., 2003; Itskov et al., 2008; Kjaer et al., 1994).”