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ICCS
2004
Springer
14 years 3 months ago
Developing a Data Driven System for Computational Neuroscience
Abstract. A data driven system implies the need to integrate data acquisition and signal processing into the same system that will interact with this information. This can be done ...
Ross Snider, Yongming Zhu
HCI
2007
13 years 11 months ago
The BIC Model: A Blueprint for the Communicator
In this paper, we outline a cognitive architecture for communicators, called the BIC model. The model consist of three main components. First, a (B)iological component, in which th...
Jan Peter de Ruiter, Nicholas J. Enfield
NIPS
1997
13 years 11 months ago
Learning Generative Models with the Up-Propagation Algorithm
Up-propagation is an algorithm for inverting and learning neural network generative models. Sensory input is processed by inverting a model that generates patterns from hidden var...
Jong-Hoon Oh, H. Sebastian Seung
ECAL
2005
Springer
14 years 3 months ago
A Computational Model of Cellular Morphogenesis in Plants
Plant morphogenesis is the development of plant form and structure by coordinated cell division and growth. We present a dynamic computational model of plant morphogenesis at cellu...
Tim Rudge, Jim Haseloff
TASLP
2008
133views more  TASLP 2008»
13 years 8 months ago
Minimum Mean-Squared Error Estimation of Mel-Frequency Cepstral Coefficients Using a Novel Distortion Model
In this paper, a new method for statistical estimation of Mel-frequency cepstral coefficients (MFCCs) in noisy speech signals is proposed. Previous research has shown that model-ba...
Kevin M. Indrebo, Richard J. Povinelli, Michael T....