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NIPS
2001
13 years 8 months ago
A Bayesian Model Predicts Human Parse Preference and Reading Times in Sentence Processing
Narayanan and Jurafsky (1998) proposed that human language comprehension can be modeled by treating human comprehenders as Bayesian reasoners, and modeling the comprehension proce...
S. Narayanan, Daniel Jurafsky

Book
3022views
15 years 4 months ago
Spectral Audio Signal Processing
"The focus of this book is on spectral modeling applied to audio signals. Spectral modeling has two main components: analysis and synthesis. We analyze sound in terms of spect...
Julius O. Smith III
IWANN
2005
Springer
14 years 29 days ago
Modeling Neural Processes in Lindenmayer Systems
Computing in nature as is the case with the human brain is an emerging research area in theoretical computer science. The present paper’s aim is to explore biological neural cell...
Carlos Martín-Vide, Tseren-Onolt Ishdorj
ATAL
2008
Springer
13 years 9 months ago
The intermediary agent's brain: supporting learning to collaborate at the inter-personal level
We discuss the design of the Intermediary Agent's brain, the control module of an embodied conversational virtual peer in a simulation game aimed at providing learning experi...
Juan Martínez-Miranda, Bernhard Jung, Sabin...
ICANN
2007
Springer
14 years 1 months ago
Inferring Cognition from fMRI Brain Images
Abstract. Over the last few years, functional Magnetic Resonance Imaging (fMRI) has emerged as a new and powerful method to map the cognitive states of a human subject to specific...
Diego Sona, Sriharsha Veeramachaneni, Emanuele Oli...