Spiking Neurons in a Hierarchical Self-Organizing Map Model Can Learn to Develop Spatial and Temporal Properties of Entorhinal Grid Cells and Hippocampal Place Cells

Open Access

Peer-reviewed

Research Article

Praveen K. Pilly,

Affiliation Center for Adaptive Systems, Center for Computational Neuroscience and Neural Technology, Boston University, Boston, Massachusetts, United States of America
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Stephen Grossberg

* E-mail: steve@bu.edu

Affiliation Center for Adaptive Systems, Center for Computational Neuroscience and Neural Technology, Department of Mathematics, Boston University, Boston, Massachusetts, United States of America
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Learning
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Action potentials
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Hippocampus
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Membrane potential
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Neurons
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Simulation and modeling
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Precession
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Entorhinal cortex
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