Publications

M. Benayoun, J. Dwyer, H. Lee, M. Hereld, R.L. Stevens, W. van Drongelen, "Simulated –annealing as a Tool to Identify Parameter Values Associated with Epileptiform Activity," Sixteenth Annual Computational Neuroscience Meeting, vol. 8, no. 2, Toronto, Canada, 1969, pp. 23, .

Automated parameter search algorithms, such as simulated annealing, seek to tune a model's parameters to reproduce important features of a target data set. A match function compares the model and target data to generate a goodness of fit and is crucial because it reflects which target features are considered of interest. Previous work has shown the effectiveness of combining simulated annealing with time-domain match functions (e.g., spike timing and least mean square (LMS) of membrane potentials) to tune a compartmental model of a cortical pyramidal cell [1].