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» Computationally Efficient Neural Field Dynamics
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ATAL
2008
Springer
13 years 9 months ago
Demonstration of multi-agent potential fields in real-time strategy games
Bots for Real Time Strategy (RTS) games provide a rich challenge to implement. A bot controls a number of units that may have to navigate in a partially unknown environment, while...
Johan Hagelbäck, Stefan J. Johansson
CGF
2008
235views more  CGF 2008»
13 years 7 months ago
Free Form Incident Light Fields
This paper presents methods for photo-realistic rendering using strongly spatially variant illumination captured from real scenes. The illumination is captured along arbitrary pat...
Jonas Unger, Stefan Gustavson, P. Larsson, Anders ...
TOG
2002
234views more  TOG 2002»
13 years 7 months ago
Gradient domain high dynamic range compression
We present a new method for rendering high dynamic range images on conventional displays. Our method is conceptually simple, computationally efficient, robust, and easy to use. We...
Raanan Fattal, Dani Lischinski, Michael Werman
NIPS
2008
13 years 8 months ago
Extracting State Transition Dynamics from Multiple Spike Trains with Correlated Poisson HMM
Neural activity is non-stationary and varies across time. Hidden Markov Models (HMMs) have been used to track the state transition among quasi-stationary discrete neural states. W...
Kentaro Katahira, Jun Nishikawa, Kazuo Okanoya, Ma...
JCNS
2000
165views more  JCNS 2000»
13 years 7 months ago
A Population Density Approach That Facilitates Large-Scale Modeling of Neural Networks: Analysis and an Application to Orientati
We explore a computationally efficient method of simulating realistic networks of neurons introduced by Knight, Manin, and Sirovich (1996) in which integrate-and-fire neurons are ...
Duane Q. Nykamp, Daniel Tranchina