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NIPS
2007
15 years 8 months ago
Neural characterization in partially observed populations of spiking neurons
Point process encoding models provide powerful statistical methods for understanding the responses of neurons to sensory stimuli. Although these models have been successfully appl...
Jonathan Pillow, Peter E. Latham
IJON
2007
93views more  IJON 2007»
15 years 6 months ago
How much can we trust neural simulation strategies?
Despite a steady improvement of computational hardware, results of numerical simulation are still tightly bound to the simulation tool and strategy used, and may substantially var...
Michelle Rudolph, Alain Destexhe
ICANN
2007
Springer
16 years 26 days ago
Neural Mechanisms for Mid-Level Optical Flow Pattern Detection
This paper describes a new model for extracting large-field optical flow patterns to generate distributed representations of neural activation to control complex visual tasks such ...
Stefan Ringbauer, Pierre Bayerl, Heiko Neumann
AI
2002
Springer
15 years 6 months ago
Programming backgammon using self-teaching neural nets
TD-Gammon is a neural network that is able to teach itself to play backgammon solely by playing against itself and learning from the results. Starting from random initial play, TD...
Gerald Tesauro
ICRA
2008
IEEE
143views Robotics» more  ICRA 2008»
16 years 1 months ago
Pattern generators with sensory feedback for the control of quadruped locomotion
— Central Pattern Generators (CPGs) are becoming a popular model for the control of locomotion of legged robots. Biological CPGs are neural networks responsible for the generatio...
Ludovic Righetti, Auke Jan Ijspeert