Abstract
Using a 2-cell reciprocally inhibitory network consisting of a biological pacemaker neuron and a model neuron integrated in real time, we show that if both synapses are depressing there is a wide range of bistability in the system. The two stable outputs are both oscillatory, but one is controlled by the intrinsic properties of the biological pacemaker neuron, whereas the other is controlled by the strength of the depressing synapses.
Original language | English (US) |
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Pages (from-to) | 269-278 |
Number of pages | 10 |
Journal | Neurocomputing |
Volume | 38-40 |
DOIs | |
State | Published - Jun 2001 |
All Science Journal Classification (ASJC) codes
- Computer Science Applications
- Cognitive Neuroscience
- Artificial Intelligence
Keywords
- Bursting
- Oscillation
- Pacemaker
- Synaptic depression