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An Agent-Based Modeling Approach for the Exploration of Self-Organizing Neural Networks

Timothy Schoenharl
2005
This work applies the Agent Based Modeling paradigm to the simulation of biological neural networks, allowing rapid development of models, easy addition of features and a richness of expression that is  ...  This view leads to some loss of fidelity over other computational neuroscience tools, but allows larger, system-level phenomena to be explored.  ...  HebbNets is designed to examine the types of network topologies that can form in a network of Perceptrons using Hebbian learning and random noise.  ... 
doi:10.7274/9s161546c8t fatcat:3vvnaltr4fbfxlj3qc65xvyrnu