Abstract
Recent electrophysiological experiments have shown that dopamine (D1) modulation of pyramidal cells in prefrontal cortex reduces spike frequency adaptation and enhances NMDA transmission. Using four models, from multicompartmental to integrate-and-fire, we examine the effects of these modulations on sustained (delay) activity in a reverberatory network. We find that D1 modulation may enable robust network bistability yielding selective reverberation among cells that code for a particular item or location. We further show that the tuning curve of such cells is sharpened, and that signal-to-noise ratio is increased. We postulate that D1 modulation affects the tuning of "memory fields" and yield efficient distributed dynamic representations.
Original language | English (US) |
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Pages (from-to) | 1549-1556 |
Number of pages | 8 |
Journal | Neurocomputing |
Volume | 38-40 |
DOIs | |
State | Published - Jun 2001 |
Externally published | Yes |
Keywords
- Computational
- Memory
- Neuromodulations
ASJC Scopus subject areas
- Computer Science Applications
- Cognitive Neuroscience
- Artificial Intelligence