Adaptation of short-term plasticity parameters via error-driven learning may explain the correlation between activity-dependent synaptic properties, connectivity motifs and target specificity.
Umberto EspositoMichele GiuglianoEleni VasilakiPublished in: Frontiers Comput. Neurosci. (2014)
Keyphrases
- short term
- long term
- driven learning
- learning rules
- short term and long term
- feed forward
- stock market
- forecasting model
- long term memory
- synaptic plasticity
- load forecasting
- maximum likelihood
- inductive learning
- short and long term
- biologically inspired
- correlation coefficient
- wind speed
- machine learning
- parameter estimation
- semi supervised learning
- expectation maximization
- expert systems