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

Timothy Schoenharl
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