Paolo Gaudiano
Affiliations: | Boston University, Boston, MA, United States |
Area:
Computer Science, Electronics and Electrical Engineering, Artificial IntelligenceGoogle:
"Paolo Gaudiano"Children
Sign in to add trainee| Erol Sahin | grad student | 2000 | Boston University |
| Mustafa I. Ecemis | grad student | 2001 | Boston University |
BETA: Related publications
See more...
Publications
|
You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect. |
| Przybyszewski AW, Linsay PS, Gaudiano P, et al. (2007) Basic difference between brain and computer: integration of asynchronous processes implemented as hardware model of the retina. Ieee Transactions On Neural Networks / a Publication of the Ieee Neural Networks Council. 18: 70-85 |
| Chang C, Gaudiano P. (1998) Application of Biological Learning Theories to Mobile Robot Avoidance and Approach Behaviors Advances in Complex Systems. 1: 79-114 |
| Zalama E, Gaudiano P, López Coronado J. (1995) A real-time, unsupervised neural network for the low-level control of a mobile robot in a nonstationary environment Neural Networks. 8: 103-123 |
| Gaudiano P. (1994) Simulations of X and Y retinal ganglion cell behavior with a nonlinear push-pull model of spatiotemporal retinal processing Vision Research. 34 |
| Gaudiano P. (1992) A unified neural network model of spatiotemporal processing in X and Y retinal ganglion cells - II. Temporal adaptation and simulation of experimental data Biological Cybernetics. 67: 23-34 |
| Gaudiano P. (1992) A unified neural model of spatiotemporal processing in X and Y retinal ganglion cells - I. Analytical results Biological Cybernetics. 67: 11-21 |
| Gaudiano P, Grossberg S. (1992) Adaptive vector integration to endpoint: Self-organizing neural circuits for control of planned movement trajectories Human Movement Science. 11: 141-155 |
| Gaudiano P, Grossberg S. (1991) Vector associative maps: Unsupervised real-time error-based learning and control of movement trajectories Neural Networks. 4: 147-183 |