Theta rhythm of navigation: Link between path integration and landmark navigation, episodic and semantic memory
By György Buzsáki. 2005
880 citations recorded by the source corpus.
Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience
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
- James L. McClelland
- Wolf Singer
- George Dragoi
- Dharshan Kumaran
- Peter J. Uhlhaas
- E. Wood
- Livia de Hoz
In Cognitive Neuroscience
- György Buzsáki
- Xiao-Jing Wang
- James L. McClelland
- Dharshan Kumaran
- Wolf Singer
- George Dragoi
- Peter J. Uhlhaas
- Charan Ranganath
Citations in the corpus
- Generalization Through the Recurrent Interaction of Episodic Memories (2012, background): “Interestingly, this general idea has been proposed to underlie the transition from direction-selective, to omnidirectional, place cell responses in the hippocampus (Buzsaki, 2005).”
- Frontal Midline Theta Oscillations during Working Memory Maintenance and Episodic Encoding and Retrieval (2013, background): “…is an obvious candidate for the generation of theta (Bastiaansen and Hagoort, 2003; Klimesch, 1999; Mitchell et al., 2008), given the vast literature on hippocampal theta oscillations in rats (for reviews, see Buzsáki, 2002, 2005; Vanderwolf, 1988; Vertes and Kocsis, 1997; Vinogradova, 1995).”
- Dissociating the past from the present in the activity of place cells (2006, background): “Phase precession (O’Keefe and Recce, 1993) is another hippocampal mechanism that might favor the encoding of sequences (Skaggs et al., 1996; Buzsaki, 2005).”
- The role of oscillations and synchrony in cortical networks and their putative relevance for the pathophysiology of schizophrenia. (2008, background): “This phenomenon, called phase precession, has been interpreted as a mechanism to increase the precision of spatial coding and to bind assemblies of place cells for the representation of movement trajectories.(21,16)”
- Hippocampal sharp wave‐ripple: A cognitive biomarker for episodic memory and planning (2015, neutral): “1) (Vanderwolf, 1969; Buzs aki, 2005).”
- Temporal encoding of place sequences by hippocampal cell assemblies. (2006, background): “There are many parallels between path integration and episodic memory (Buzsaki, 2005).”
- Linking Speech Perception and Neurophysiology: Speech Decoding Guided by Cascaded Oscillators Locked to the Input Rhythm (2011, background): “Neuronal oscillations are believed to play a role in various perceptual and cognitive tasks, including attention (Lakatos et al., 2008), navigation (Buzsáki, 2005), memory (Gruber et al., 2008; Palva et al., 2010), motor planning (Donoghue et al., 1998), and in the context of the present work,…”
- The Interaction between Sleep and Development on Wake EEG Oscillations (2026, unknown): “On the one hand, theta is often associated with cognitive effort (Buzsáki, 2005; Mitchell et al., 2008; Cavanagh and Frank, 2014; Meyer et al., 2019).”
- Wake EEG oscillation dynamics reflect both sleep pressure and brain maturation across childhood and adolescence (2024, unknown): “On the one hand, theta is often associated with cognitive effort (Buzsáki, 2005; Cavanagh & Frank, 2014; Meyer et al., 2019; Mitchell et al., 2008), on the other, it is also associated with sleepiness (Finelli et al., 2000; Smith, 1938; Snipes et al., 2022) and fatigue (Arnau et al., 2021; Tran et…”
- Neurophysiological mechanisms of cognition in the developing brain: Insights from intracranial EEG studies (2023, background): “Phase precession suggests that one place cell representing the current location fires at the trough of the theta cycle while other place cells representing different locations fire at different theta phases within the same theta cycle, resulting in several cells representing different items firing w”
- Fields or firings? Comparing the spike code and the electromagnetic field hypothesis (2023, background): “Buzsaki et al. (2013) directly addresses Koch’s concerns about the averaging effect, and a 1/f^n distribution of EEG oscillations, noting that while there is a 1/f^n distribution over long temporal scales there are marked departures from that distribution during various functionrelated measurements,”