Abstract
Pyramidal cells in the hippocampus of freely moving rats have a spatially specific activity pattern which provides information to downstream in the phase of cell activity. We present a minimal biophysical model for the generation of the phase information from a combination of two inputs: a short duration spatial trigger and the animal's running speed. This single input is shown to determine the start and end of the spatial firing, and a transient phase code for location. Three different simple networks are shown to produce this behavior, without changes in synaptic conductance or connectivity.
Original language | English (US) |
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Pages (from-to) | 225-234 |
Number of pages | 10 |
Journal | Neurocomputing |
Volume | 32 |
Issue number | 33 |
DOIs | |
State | Published - Jun 2000 |
All Science Journal Classification (ASJC) codes
- Computer Science Applications
- Cognitive Neuroscience
- Artificial Intelligence
Keywords
- Biophysical model
- Hippocampus
- Phase precession
- Place cell