Spatial cognition and neuro-mimetic navigation: a model of hippocampal place cell activity

By Angelo Arleo, Wulfram Gerstner. Biological cybernetics, 2000

303 citations recorded by the source corpus.

Subfields: Cell Biology, Cognitive Neuroscience, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/04bc4c72173407ddfc55d3a85c0c56bfd36ce5e8

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Citations in the corpus

Persistent Navigation and Mapping using a Biologically Inspired SLAM System (2010, methodology): “CANs have been a popular choice for modeling the spatially responsive cells found in the rodent brain (Samsonovich and McNaughton, 1997 Arleo and Gerstner, 2000 Stringer et al., 2002a, b).”
Eligibility Traces and Plasticity on Behavioral Time Scales: Experimental Support of NeoHebbian Three-Factor Learning Rules (2018, background): “However, from the perspective of formal learning theories, to be reviewed below, the timing of modulatory factors is just as crucial (Schultz and Dickinson, 2000; Schultz, 2002).”
Path integration in mammals (2004, background): “…(Fujita et al., 1990), flow diagrams (Mittelstaedt, 2000), and especially neural networks (Hartmann and Wehner, 1995; Guazzelli et al., 2001; Wittman and Schwegler, 1995; McNaughton et al., 1996; Samsonovich and McNaughton, 1997; Maurer, 1998; Arleo and Gerstner, 2000; Stringer et al., 2002).”
DREAM Architecture: a Developmental Approach to Open-Ended Learning in Robotics (2020, unknown): “The resulting compact and efﬁcient representation of spatial states has then often been used to learn navigation behaviors by reinforcement [149, 143, 150, 151, 152, 31, for example].”
Tag-Trigger-Consolidation: A Model of Early and Late Long-Term-Potentiation and Depression (2008, unknown): “which can be interpreted as a synapse specific tag. In the future we want to check whether the TagTriC model can be linked to reinforcement learning models”
Neuromodulated Spike-Timing-Dependent Plasticity, and Theory of Three-Factor Learning Rules (2016, methodology): “…(Frey and Morris, 1997; Reymann and Frey, 2007; Redondo and Morris, 2011), whereas it is in the range of a few hundred milliseconds for eligibility traces in reinforcement learning (Arleo and Gerstner, 2000; Foster et al., 2000; Izhikevich, 2007; Sheynikhovich et al., 2009; Frémaux et al., 2013).”
Combining Self-organizing Maps with Mixtures of Experts: Application to an Actor-Critic Model of Reinforcement Learning in the Basal Ganglia (2006, methodology): “This would be computationally equival ent to the use of small fields place cells for the clustering of the state space of an Actor-Critic, which has been criticized by several authors [2], and would not be different than other algorithms where the winning node of a self-organizing map produc es a di”
Mapping a Suburb With a Single Camera Using a Biologically Inspired SLAM System (2008, background): “Some of the work, especially in the early stages, drew heavily upon these pioneering robot studies with models of hippocampus, especially [31], [32].”
Modelling brain emergent behaviours through coevolution of neural agents (2006, background): “…the known characteristics of these structures, as a means to explain and reproduce their functionality (Ajemian, Bullock, & Grossberg, 2000; Arleo & Gerstner, 2000; Kali & Dayan, 2000; Maniadakis & Trahanias, 2003; Norman & O’Reilly, 2001; Samsonovich & McNaughton, 1997; Stringer, Rolls, &…”