Abstract
Recent evidence suggests that electrical coupling could play a role in generating oscillatory behavior in networks of neurons, however, exact mechanisms have not been identified. Using a cellular automata model, we recently showed that a self-organizing process can generate regular population oscillations in a network with random spontaneous activity and random gap junction-like coupling. The network activity underlying the oscillations is topologically similar to target-pattern activity. Here, we show the process at work in a biophysical model. We demonstrate that population oscillations can also arise from reentrant behavior, but these oscillations look qualitatively different than those generated by the target-pattern-like activity.
Original language | English (US) |
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Pages (from-to) | 763-768 |
Number of pages | 6 |
Journal | Neurocomputing |
Volume | 38-40 |
DOIs | |
State | Published - Jun 2001 |
Keywords
- Gap junctions
- Population osicillations
- Random networks
ASJC Scopus subject areas
- Computer Science Applications
- Cognitive Neuroscience
- Artificial Intelligence