Correlated activity supports efficient cortical processing
Visual recognition is a computational challenge that is thought to occur via efficient coding. An important concept is sparseness, a measure of coding efficiency. The prevailing view is that sparseness supports efficiency by minimizing redundancy and correlations in spiking populations. Yet, we rece...
Main Authors: | Chou Po Hung, Ding eCui, Yueh-peng eChen, Chia-pei eLin, Matthew eLevine |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2015-01-01
|
Series: | Frontiers in Computational Neuroscience |
Subjects: | |
Online Access: | http://journal.frontiersin.org/Journal/10.3389/fncom.2014.00171/full |
Similar Items
-
Corrigendum: Correlated activity supports efficient cortical processing
by: Chou P. Hung, et al.
Published: (2015-02-01) -
Ultra-fast Object Recognition from Few Spikes
by: Hung, Chou, et al.
Published: (2005) -
High baseline activity in inferior temporal cortex improves neural and behavioral discriminability during visual categorization
by: Nazli eEmadi, et al.
Published: (2014-11-01) -
Learning View Invariant Recognition with Partially Occluded Objects
by: James Matthew Tromans, et al.
Published: (2012-07-01) -
Invariant visual object and face recognition: neural and computational bases, and a model, VisNet
by: Edmund T eRolls
Published: (2012-06-01)