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» Encoding multiple orientations in a recurrent network
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IJON
2000
61views more  IJON 2000»
13 years 5 months ago
Encoding multiple orientations in a recurrent network
Models containing recurrent connections amongst the cells within a population can account for a range of empirical data on orientation selectivity in striate cortex. However, exis...
Richard S. Zemel, Jonathan Pillow
ICANN
2009
Springer
13 years 12 months ago
Combining Multiple Inputs in HyperNEAT Mobile Agent Controller
In this paper we present neuro-evolution of neural network controllers for mobile agents in a simulated environment. The controller is obtained through evolution of hypercube encod...
Jan Drchal, Ondrej Kapral, Jan Koutník, Mir...
ICRA
2009
IEEE
137views Robotics» more  ICRA 2009»
14 years 1 days ago
Continuous vocal imitation with self-organized vowel spaces in Recurrent Neural Network
Abstract— A continuous vocal imitation system was developed using a computational model that explains the process of phoneme acquisition by infants. Human infants perceive speech...
Hisashi Kanda, Tetsuya Ogata, Toru Takahashi, Kazu...
IROS
2008
IEEE
161views Robotics» more  IROS 2008»
13 years 11 months ago
Segmenting acoustic signal with articulatory movement using Recurrent Neural Network for phoneme acquisition
— This paper proposes a computational model for phoneme acquisition by infants. Human infants perceive speech sounds not as discrete phoneme sequences but as continuous acoustic ...
Hisashi Kanda, Tetsuya Ogata, Kazunori Komatani, H...
NN
1998
Springer
112views Neural Networks» more  NN 1998»
13 years 5 months ago
Continuous attractors and oculomotor control
A recurrent neural network can possess multiple stable states, a property that many brain theories have implicated in learning and memory. There is good evidence for such multista...
H. Sebastian Seung