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» Recurrent neural network based language model
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NIPS
2001
15 years 6 months ago
Learning Lateral Interactions for Feature Binding and Sensory Segmentation
We present a new approach to the supervised learning of lateral interactions for the competitive layer model (CLM) dynamic feature binding architecture. The method is based on con...
Heiko Wersing
ICANN
2007
Springer
15 years 11 months ago
A Simple Model of Cortical Activations During Both Observation and Execution of Reach-to-Grasp Movements
We discuss evidence for the existence of mirror systems in the brain, including recent experimental results that demonstrate the use of shared pathways for the observation and exec...
Matthew Hartley, John G. Taylor
150
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MICAI
2005
Springer
15 years 10 months ago
Modelling Human Intelligence: A Learning Mechanism
We propose a novel, high-level model of human learning and cognition, based on association forming. The model configures any input data stream featuring a high incidence of repeti...
Enrique Carlos Segura, Robin W. Whitty
NIPS
2004
15 years 6 months ago
Bayesian inference in spiking neurons
We propose a new interpretation of spiking neurons as Bayesian integrators accumulating evidence over time about events in the external world or the body, and communicating to oth...
Sophie Deneve
ITCC
2005
IEEE
15 years 10 months ago
Grid-Based Collaboration in Interactive Data Language Applications
Interactive Data Language (IDL) is an array-oriented data analysis and visualization application, which is widely used in research, commerce, and education. It is meaningful to ma...
Minjun Wang, Geoffrey Fox, Marlon E. Pierce