Temporal encoding of place sequences by hippocampal cell assemblies.
By George Dragoi, György Buzsáki. Neuron, 2006
681 citations recorded by the source corpus.
Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience
View Paper: https://www.semanticscholar.org/paper/01b360d6102957006facd6c419bfd8d2ada70baa
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
- Fred H. Gage
- Loren M. Frank
- Ole Jensen
- James Bradley Aimone
- John E. Lisman
- Xiao-Jing Wang
- Edvard I. Moser
In Cognitive Neuroscience
- György Buzsáki
- Xiao-Jing Wang
- Ole Jensen
- John E. Lisman
- Fred H. Gage
- Loren M. Frank
- Edvard I. Moser
- James Bradley Aimone
Citations in the corpus
- New experiences enhance coordinated neural activity in the hippocampus. (2008, positive): “The correlation coefficient between temporal and spatial separation is defined as the sequence compression index (Dragoi and Buzsaki, 2006).”
- 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).”
- Place cells, grid cells, and the brain's spatial representation system. (2008, background): “Moreover, when the rat runs through a sequence of overlapping place fields from different cells, the firing sequence of the cells will be partially replicated in compressed form within individual theta periods ( Jensen & Lisman 1996, Skaggs et al. 1996, Tsodyks et al. 1996, Dragoi & Buzsaki 2006).”
- Neural syntax: cell assemblies, synapsembles and readers (2010, positive): “…and Buzsáki, 2008; Fenton et al., 2008; O’Keefe and Burgess, 1996).13 Assuming that locations can be regarded analogous to discrete items (Figure 6F; Dragoi and Buzsáki, 2006; Lisman and Idiart, 1995), the temporal compressionmechanism can limit the ‘‘attention span’’ and the ‘‘register…”
- Gamma and Theta Rhythms in Biophysical Models of Hippocampal Circuits (2010, background): “Although each model O-LM cell adjusts its phase to the I-cell input, if the latter is much faster, the model O-LM cells skip I-cell cycles; the lack of synchronization is due to the fact that the different model O-LM cells skip different cycles.”
- Noise as a Resource for Computation and Learning in Networks of Spiking Neurons (2014, neutral): “apparently also used by the brain [65], [66].”
- Impaired spatial representation in CA1 after lesion of direct input from entorhinal cortex. (2008, methodology): “The significance of intact entorhinal fibers is supported by the more reliable induction of action potentials in CA1 after stimulation of the perforant path in vivo and by the fact that such discharge is detectable only when stimulation and recording electrodes are placed in register within a…”
- Action understanding and active inference (2011, neutral): “A further interesting connection with hippocampal dynamics is the prevalence of theta rhythms during action (Dragoi and Buzsáki 2006): “Driven either by external landmarks or by internal dynamics, hippocampal neurons form sequences of cell assemblies.”
- Theta oscillations provide temporal windows for local circuit computation in the entorhinal-hippocampal loop (2009, background): “Dentate putative principal neurons and CA3 pyramidal cells shared a similar phase space, preceding the firing of CA1 pyramidal cells by 90!–120! (Buzsáki et al., 1983; Skaggs et al., 1996; Dragoi and Buzsáki 2006).”
- Computational influence of adult neurogenesis on memory encoding. (2009, positive): “Furthermore, while the hippocampus has long been considered critical for the encoding of temporal information, these studies have focused mostly on recurrent network dynamics in the CA3 and spike-timing dependent plasticity (Dan and Poo, 2004; Dragoi and Buzsaki, 2006).”
- Goals and Habits in the Brain (2013, positive): “…an animal is not running in its environment, or indeed when it is sleeping, it is also possible to observe a variety of forward and backward sweeps (Dragoi and Buzsáki, 2006; Foster andWilson, 2006, 2007; Lee andWilson, 2002; Louie andWilson, 2001) related to more or less recent experience in the…”
- Neurophysiological and Computational Principles of Cortical Rhythms in Cognition (2010, background): “The spike timing of a hippocampal neuron systematically shifts to an earlier phase of the theta cycle as the rat moves across the cell’s place field, a phenomenon called “phase precession” (254, 456, 740, 881, 1080) (Fig.”