Results
- Showing results for:
- Reset all filters
Search results
-
Conference paperKormushev P, Ugurlu B, Calinon S, et al., 2011,
Bipedal Walking Energy Minimization by Reinforcement Learning with Evolving Policy Parameterization
, Pages: 318-324 -
Journal articleKormushev P, Calinon S, Caldwell DG, 2011,
Imitation Learning of Positional and Force Skills Demonstrated via Kinesthetic Teaching and Haptic Input
, Advanced Robotics, Vol: 25, Pages: 581-603 -
Journal articleKormushev P, Nomoto K, Dong F, et al., 2011,
Time Hopping Technique for Faster Reinforcement Learning in Simulations
, International Journal of Cybernetics and Information Technologies, Vol: 11, Pages: 42-59 -
Conference paperGoodman DFM, Brette R, 2010,
Learning to localise sounds with spiking neural networks
To localise the source of a sound, we use location-specific properties of the signals received at the two ears caused by the asymmetric filtering of the original sound by our head and pinnae, the head-related transfer functions (HRTFs). These HRTFs change throughout an organism's lifetime, during development for example, and so the required neural circuitry cannot be entirely hardwired. Since HRTFs are not directly accessible from perceptual experience, they can only be inferred from filtered sounds. We present a spiking neural network model of sound localisation based on extracting location-specific synchrony patterns, and a simple supervised algorithm to learn the mapping between synchrony patterns and locations from a set of example sounds, with no previous knowledge of HRTFs. After learning, our model was able to accurately localise new sounds in both azimuth and elevation, including the difficult task of distinguishing sounds coming from the front and back.
-
Conference paperKormushev P, Calinon S, Caldwell DG, 2010,
Robot Motor Skill Coordination with EM-based Reinforcement Learning
, Pages: 3232-3237
This data is extracted from the Web of Science and reproduced under a licence from Thomson Reuters. You may not copy or re-distribute this data in whole or in part without the written consent of the Science business of Thomson Reuters.
Contact us
Artificial Intelligence Network
South Kensington Campus
Imperial College London
SW7 2AZ
To reach the elected speaker of the network, Dr Rossella Arcucci, please contact:
To reach the network manager, Diana O'Malley - including to join the network - please contact: