1994 Special Issue: A model of hippocampal function
Neural Networks - Special issue: models of neurodynamics and behavior
The role of the hippocampus in solving the Morris water maze
Neural Computation
Planification versus sensory-motor conditioning: what are the issues?
Proceedings of the fifth international conference on simulation of adaptive behavior on From animals to animats 5
Motivated animat navigation: a visually guided approach
Proceedings of the fifth international conference on simulation of adaptive behavior on From animals to animats 5
Cortico-hippocampal maps and navigation strategies in robots and rodents
ICSAB Proceedings of the seventh international conference on simulation of adaptive behavior on From animals to animats
Learning and communication via imitation: an autonomous robot perspective
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Episodes in Space: A Modeling Study of Hippocampal Place Representation
SAB '08 Proceedings of the 10th international conference on Simulation of Adaptive Behavior: From Animals to Animats
SAB '08 Proceedings of the 10th international conference on Simulation of Adaptive Behavior: From Animals to Animats
Map-Based Spatial Navigation: A Cortical Column Model for Action Planning
Proceedings of the international conference on Spatial Cognition VI: Learning, Reasoning, and Talking about Space
Don't Throw the Baby Iguana Out With the Bathwater
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Lingodroids: socially grounding place names in privately grounded cognitive maps
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Transition cells for navigation and planning in an unknown environment
SAB'06 Proceedings of the 9th international conference on From Animals to Animats: simulation of Adaptive Behavior
Beyond here-and-now: extending shared physical experiences to shared conceptual experiences
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
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In this letter we describe a hippocampo-cortical model of spatial processing and navigation based on a cascade of increasingly complex associative processes that are also relevant for other hippocampal functions such as episodic memory. Associative learning of different types and the related pattern encoding-recognition take place at three successive levels: (1) an object location level, which computes the landmarks from merged multimodal sensory inputs in the parahippocampal cortices; (2) a subject location level, which computes place fields by combination of local views and movement-related information in the entorhinal cortex; and (3) a spatiotemporal level, which computes place transitions from contiguous place fields in the CA3-CA1 region, which form building blocks for learning temporospatial sequences.At the cell population level, superficial entorhinal place cells encode spatial, context-independent maps as landscapes of activity; populations of transition cells in the CA3-CA1 region encode context-dependent maps as sequences of transitions, which form graphs in prefrontal-parietal cortices. The model was tested on a robot moving in a real environment; these tests produced results that could help to interpret biological data. Two different goal-oriented navigation strategies were displayed depending on the type of map used by the system.Thanks to its multilevel, multimodal integration and behavioral implementation, the model suggests functional interpretations for largely unaccounted structural differences between hippocampo-cortical systems. Further, spatiotemporal information, a common denominator shared by several brain structures, could serve as a cognitive processing frame and a functional link, for example, during spatial navigation and episodic memory, as suggested by the applications of the model to other domains, temporal sequence learning and imitation in particular.