Population dynamics and theta rhythm phase precession of hippocampal place cell firing: A spiking neuron model
By Misha Tsodyks, William E. Skaggs, Terrence J. Sejnowski, Bruce L. McNaughton. 1998
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- György Buzsáki
- J. Urgen Schmidhuber
- Terrence J. Sejnowski
- Neil Burgess
- Xiao-Jing Wang
- Yoshua Bengio
- Edvard I. Moser
- Kenji Mizuseki
Citations in the corpus
- Deep learning in neural networks: An overview (2014, methodology): “Many computational models of such spiking neurons have been proposed and analyzed (e.g., Gerstner and van Hemmen, 1992; Zipser et al., 1993; Stemmler, 1996; Tsodyks et al., 1996; Maex and Orban, 1996; Maass, 1996, 1997; Kistler et al., 1997; Amit and Brunel, 1997; Kempter et al., 1999; Song et al., ”
- Network Oscillations: Emerging Computational Principles (2006, background): “It has been suggested that, under these conditions , the phase of firing carries more information about the location of the animal than does the rate of firing (Tsodyks et al., 1996; Jensen and Lisman, 2000).”
- Place cells, grid cells, and the brain's spatial representation system. (2008, background): “A third type of models puts the mechanism at the network level ( Jensen & Lisman 1996, Tsodyks et al. 1996, Wallenstein & Hasselmo 1998).”
- Temporal encoding of place sequences by hippocampal cell assemblies. (2006, background): “…within the theta cycle would result from the intrinsic oscillatory dynamics of the hippocampal formation in the framework of an attractor dynamical systems model (Tsodyks et al., 1996; Jensen and Lisman, 1996; Wallenstein and Hasselmo, 1997; Samsonovich and McNaughton, 1997; Wills et al., 2005).”
- What is the function of hippocampal theta rhythm?—Linking behavioral data to phasic properties of field potential and unit recording data (2005, methodology): “Simple model of phase precession based on retrieval of sequences (Tsodyks et al., 1996; Jensen and Lisman, 1996a).”
- Cortex and Memory: Emergence of a New Paradigm (2009, background): “On the other, dendritic oscillations can change the excitability of a cell's membrane, thereby biasing its production of spikes, which may occur in phase at various times with respect to the oscillatory cycle (Tsodyks, Skaggs, Sejnowski, & McNaughton, 1996 ).”
- A review of the integrate-and-fire neuron model: II. Inhomogeneous synaptic input and network properties (2006, background): “These large scale oscillations are generally regarded as being due to the interaction of excitatory and inhibitory neurons, and detailed neuronal models have been constructed for both the theta rhythm (Tsodyks et al. 1996) and the EEG signal (Rennie et al. 2002).”
- Theta rhythm of navigation: Link between path integration and landmark navigation, episodic and semantic memory (2005, background): “Distances between successive place fields are believed to be stored by the synaptic strengths between cell assemblies (Muller et al., 1996a; Tsodyks et al., 1996; Jensen and Lisman, 2005).”
- Independent rate and temporal coding in hippocampal pyramidal cells (2003, background): “, or early-field firing being driven by input from other place cells while late-field firing is driven by sensory inpu”
- Theta oscillations provide temporal windows for local circuit computation in the entorhinal-hippocampal loop (2009, background): “…hippocampus and EC do not have a fixed theta phase preference; their phase varies systematically as a function of behavior (O’Keefe and Recce, 1993; Hafting et al., 2008), pointing to a role of the local circuits in controlling place cell discharges (Tsodyks et al., 1996; Hasselmo et al., 2002).”
- Role of experience and oscillations in transforming a rate code into a temporal code (2002, background): “Several computational models have been proposed to explain the origin of this temporal cod”