 | 2011 |
| 11 |  | Leonid I. Perlovsky,
Roman Ilin:
Neurally and Mathematically Motivated Architecture for Language and Cognition.
BICA 2011: 288 |
| 2010 |
| 10 |  | Leonid I. Perlovsky,
Roman Ilin:
Grounded symbols in the brain.
IJCNN 2010: 1-10 |
| 9 |  | Leonid I. Perlovsky,
Roman Ilin:
The knowledge instinct of autonomous adaptation.
IJCNN 2010: 1-8 |
| 8 |  | Roman Ilin,
Leonid I. Perlovsky:
Cognitively Inspired Neural Network for Recognition of Situations.
IJNCR 1(1): 36-55 (2010) |
| 2009 |
| 7 |  | Roman Ilin,
Robert Kozma:
Sensor integration in KIV brain model for decision making.
IJCNN 2009: 1328-1334 |
| 6 |  | José F. Fontanari,
Vadim Tikhanoff,
Angelo Cangelosi,
Roman Ilin,
Leonid I. Perlovsky:
Cross-situational learning of object-word mapping using Neural Modeling Fields.
Neural Networks 22(5-6): 579-585 (2009) |
| 2008 |
| 5 |  | Robert Kozma,
Terry Huntsberger,
Hrand Aghazarian,
Edward Tunstel,
Roman Ilin,
Walter J. Freeman:
Intentional Control for Planetary Rover SRR.
Advanced Robotics 22(12): 1309-1327 (2008) |
| 4 |  | Roman Ilin,
Robert Kozma,
Paul J. Werbos:
Beyond Feedforward Models Trained by Backpropagation: A Practical Training Tool for a More Efficient Universal Approximator.
IEEE Transactions on Neural Networks 19(6): 929-937 (2008) |
| 2007 |
| 3 |  | Roman Ilin,
Robert Kozma:
Control of multi-stable chaotic neural networks using input constraints.
IJCNN 2007: 2194-2199 |
| 2 |  | Roman Ilin,
Robert Kozma,
Paul J. Werbos:
Beyond Feedforward Models Trained by Backpropagation: a Practical Training Tool for a More Efficient Universal Approximator
CoRR abs/0710.4182: (2007) |
| 2006 |
| 1 |  | Roman Ilin,
Robert Kozma,
Paul J. Werbos:
Cellular SRN Trained by Extended Kalman Filter Shows Promise for ADP.
IJCNN 2006: 506-510 |