How the Prior Information Shapes Neural Networks for Optimal Multisensory Integration

Article Details
Title:	How the Prior Information Shapes Neural Networks for Optimal Multisensory Integration
Article URLs:	https://doi.org/10.1007/978-3-319-59081-3_16
Alternative Article URLs:
Authors:	He Wang	Hong Kong University of Science and Technology, Department of Physics
	Wenhao Zhang	Hong Kong University of Science and Technology, Department of Physics Beijing Normal University, State Key Laboratory of Cognitive Neuroscience and Learning Carnegie Mellon University, Center for the Neural Basis of Cognition
	K. Y. Michael Wong	Hong Kong University of Science and Technology, Department of Physics
	Si Wu	Beijing Normal University, State Key Laboratory of Cognitive Neuroscience and Learning
Sharing:	Unknown
Verification:	Authors have not verified information
Artifact Evaluation Badge:	none
Artifact URLs:
Artifact Correspondence Email Addresses:
NSF Award Numbers:
DBLP Key:	conf/isnn/WangZWW17
Author Comments:

International Symposium on Neural Networks, ISNN 2017