The role of the hippocampus in solving the Morris water maze
Neural Computation
Neural Networks - 2003 Special issue: Advances in neural networks research IJCNN'03
2005 Special issue: Hippocampal mechanisms for the context-dependent retrieval of episodes
Neural Networks - Special issue: Computational theories of the functions of the hippocampus
Neural Networks - Special issue: Computational theories of the functions of the hippocampus
Emergence of sequence sensitivity in a hippocampal CA3-CA1 model
Neural Networks
Why and how hippocampal transition cells can be used in reinforcement learning
SAB'10 Proceedings of the 11th international conference on Simulation of adaptive behavior: from animals to animats
Model of the hippocampal learning of spatio-temporal sequences
ICANN'10 Proceedings of the 20th international conference on Artificial neural networks: Part III
Using the Rhythm of Nonverbal Human–Robot Interaction as a Signal for Learning
IEEE Transactions on Autonomous Mental Development
Learning and communication via imitation: an autonomous robot perspective
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Hi-index | 0.00 |
We present a neural network model where the spatial and temporal components of a task are merged and learned in the hippocampus as chains of associations between sensory events. The prefrontal cortex integrates this information to build a cognitive map representing the environment. The cognitive map can be used after latent learning to select optimal actions to fulfill the goals of the animal. A simulation of the architecture is made and applied to learning and solving tasks that involve both spatial and temporal knowledge. We show how this model can be used to solve the continuous place navigation task, where a rat has to navigate to an unmarked goal and wait for 2 seconds without moving to receive a reward. The results emphasize the role of the hippocampus for both spatial and timing prediction, and the prefrontal cortex in the learning of goals related to the task.