Computational neuroethology: a provisional manifesto
Proceedings of the first international conference on simulation of adaptive behavior on From animals to animats
Networks of spiking neurons: the third generation of neural network models
Transactions of the Society for Computer Simulation International - Special issue: simulation methodology in transportation systems
Population vector code: a geometric universal as actuator
Biological Cybernetics - Special Issue: Object Localization
Neural network mechanism for the orientation behavior of sand scorpions towards prey
IEEE Transactions on Neural Networks
| Hi-index | 0.01 |
We extend an existing spiking neural model of arachnid prey orientation sensing with a view to potentially using it in robotics applications. Firstly, we have added 'motor' behaviour by implementing a simulated arachnid in a physics simulation so that sensory signals from the neural model can be translated into movement to orient towards the prey. We have also created a spiking neural distance estimation model with a complementary motor model that enables walking towards the prey. Results from testing of the neural and motor aspects show that the neural models can represent actual prey angle and distance to a high degree of accuracy: an average error of approximately 7^o in estimating prey angle and 1cm in the estimation of distance to prey. The motor models consistently show the correct turning and walking responses but the overall accuracy is reduced with an average error of around 15^o for angle and 1.25cm for distance. In the case of orientation this is still in line with the error rate of between 12^o and 15^o, which has been observed in real arachnids.