Unfaithful Population Decoding

Authors:
Si Wu;Danmei Chen;Shun-ichi Amari
Affiliations:
-;-;-
Venue:
IJCNN '00 Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 2 - Volume 2
Year:
2000

Citing 0
Cited 2

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Abstract

Unfaithful population decoding is a paradigm of the maximum likelihood inference based on a model, which is not feasible to describe the encoding process (UMLI) (Wu et al., 1999). The present paper studies the performance of UMLI, through investigating an unfaithful decoding model, which neglects the multiplicative correlation between neural activities. It shows that UMLI is a good compromise between computational complexity and decoding accuracy.