Synthesis of Generalized Algorithms for the Fast Computation of Synaptic Conductances with Markov Kinetic Models in Large Network Simulations.
Michele GiuglianoPublished in: Neural Comput. (2000)
Keyphrases
- learning algorithm
- data structure
- network topologies
- probabilistic model
- spiking neural networks
- experimental data
- model selection
- learning rules
- significant improvement
- computationally efficient
- biochemical networks
- biologically inspired
- machine learning algorithms
- learned models
- computational cost
- computational complexity
- theoretical analysis
- graph theory
- semi markov
- learning models
- complex networks
- network structure
- neural network
- optimization problems
- worst case
- genetic algorithm
- machine learning