Name
Title | ||
|---|---|---|
Optimisation of an exemplar oculomotor model using multi-objective genetic algorithms executed on a GPU-CPU combination. |
Abstract | ||
|---|---|---|
Parameter optimisation is a critical step in the construction of computational biology models. In eye movement research, computational models are increasingly important to understanding the mechanistic basis of normal and abnormal behaviour. In this study, we considered an existing neurobiological model of fast eye movements (saccades), capable of generating realistic simulations of: (i) normal horizontal saccades; and (ii) infantile nystagmus – pathological ocular oscillations that can be subdivided into different waveform classes. By developing appropriate fitness functions, we optimised the model to existing experimental saccade and nystagmus data, using a well-established multi-objective genetic algorithm. This algorithm required the model to be numerically integrated for very large numbers of parameter combinations. To address this computational bottleneck, we implemented a master-slave parallelisation, in which the model integrations were distributed across the compute units of a GPU, under the control of a CPU. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1186/s12918-017-0416-2 | BMC Systems Biology |
Keywords | Field | DocType |
Systems biology, Parameter optimisation, Multi-objective genetic algorithms, High-performance computing, Oculomotor control, Mathematical modelling, Infantile nystagmus | Supercomputer,Computer science,Waveform,Algorithm,Computational model,Eye movement,Bioinformatics,Saccadic masking,Saccade,Genetic algorithm,Speedup | Journal |
Volume | Issue | ISSN |
11 | 1 | 1752-0509 |
Citations | PageRank | References |
1 | 0.36 | 28 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Eleftherios Avramidis | 1 | 84 | 18.17 |
| Ozgur E. Akman | 2 | 54 | 8.69 |