Name
Title | ||
|---|---|---|
Spike-Time Robotics: A Rapid Response Circuit for a Robot that Seeks Temporally Varying Stimuli. |
Abstract | ||
|---|---|---|
In this paper we describe a spiking neural circuit inspired by the pyramidal-interneuron network gamma (PING)\n circuit modeled by Whittington and colleagues [1]. The spiking network controls a rat animat – a rodent-inspired\n robot that can autonomously explore and map its environment. We demonstrate how the neural controller directs the\n rat animat‟s movement towards temporal stimuli of the appropriate frequency using an approach based on\n Braitenberg Vehicles. The circuit responds robustly (after four cycles) when first detecting a light pulsing at 1 Hz,\n and rapidly (after one-to-three cycles) when primed by recent experiences with the same frequency. This study is the\n first to demonstrate a biologically-inspired spike-based robot that is both robust and rapid in detecting and responding\n to temporal dynamics in the environment. It provides the basis for further studies of biologically-inspired spike-based\n robotics. |
Year | Venue | Keywords |
|---|---|---|
2010 | Austr. J. Intelligent Information Processing Systems | spiking neural networks,braitenberg vehicles,neurorobotics |
Field | DocType | Volume |
Neurorobotics,Computer vision,Ping (video games),Pattern recognition,Computer science,Animat,Artificial intelligence,Stimulus (physiology),Robot,Spiking neural network,Robotics,Braitenberg vehicle | Journal | 11 |
Issue | Citations | PageRank |
1 | 0 | 0.34 |
References | Authors | |
9 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Janet Wiles | 1 | 105 | 20.69 |
| David Ball | 2 | 15 | 2.76 |
| Scott Heath | 3 | 41 | 7.96 |
| Chris Nolan | 4 | 0 | 0.34 |
| Peter Stratton | 5 | 9 | 2.82 |