Abstract
Synaptic depression modeled after that seen in cortical slices removes correlations from realistic spike sequences. If not removed, such correlations can lead to inefficient and redundant neural codes. We suggest that this redundancy reduction at individual synapses enables a neuron to better process information from multiple inputs.
Original language | English (US) |
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Pages (from-to) | 147-153 |
Number of pages | 7 |
Journal | Neurocomputing |
Volume | 26-27 |
DOIs | |
State | Published - Jun 1999 |
Externally published | Yes |
Keywords
- Correlation
- Cortical network
- Short-term plasticity
- Synaptic depression
ASJC Scopus subject areas
- Artificial Intelligence
- Cellular and Molecular Neuroscience