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: | , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2015-01-01
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| Series: | Frontiers in Computational Neuroscience |
| Subjects: | |
| Online Access: | http://journal.frontiersin.org/Journal/10.3389/fncom.2014.00171/full |
| _version_ | 1818278408908439552 |
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| author | Chou Po Hung Ding eCui Yueh-peng eChen Chia-pei eLin Matthew eLevine |
| author_facet | Chou Po Hung Ding eCui Yueh-peng eChen Chia-pei eLin Matthew eLevine |
| author_sort | Chou Po Hung |
| collection | DOAJ |
| description | 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 recently reported that ‘choristers’, neurons that behave more similarly (have correlated stimulus preferences and spontaneous coincident spiking), carry more generalizable object information than uncorrelated neurons (‘soloists’) in macaque inferior temporal (IT) cortex. The rarity of choristers (as low as 6% of IT neurons) indicates that they were likely missed in previous studies. Here, we report that correlation strength is distinct from sparseness (choristers are not simply broadly tuned neurons), that choristers are located in non-granular output layers, and that correlated activity predicts human visual search efficiency. These counterintuitive results suggest that a redundant correlational structure supports efficient processing and behavior. |
| first_indexed | 2024-12-12T23:16:58Z |
| format | Article |
| id | doaj.art-6c7911c679f44418a91b5720ada3cf7c |
| institution | Directory Open Access Journal |
| issn | 1662-5188 |
| language | English |
| last_indexed | 2024-12-12T23:16:58Z |
| publishDate | 2015-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Computational Neuroscience |
| spelling | doaj.art-6c7911c679f44418a91b5720ada3cf7c2022-12-22T00:08:26ZengFrontiers Media S.A.Frontiers in Computational Neuroscience1662-51882015-01-01810.3389/fncom.2014.00171116636Correlated activity supports efficient cortical processingChou Po Hung0Ding eCui1Yueh-peng eChen2Chia-pei eLin3Matthew eLevine4Georgetown UniversityGeorgetown UniversityNational Yang-Ming UniversityNational Yang-Ming UniversityGeorgetown UniversityVisual 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 recently reported that ‘choristers’, neurons that behave more similarly (have correlated stimulus preferences and spontaneous coincident spiking), carry more generalizable object information than uncorrelated neurons (‘soloists’) in macaque inferior temporal (IT) cortex. The rarity of choristers (as low as 6% of IT neurons) indicates that they were likely missed in previous studies. Here, we report that correlation strength is distinct from sparseness (choristers are not simply broadly tuned neurons), that choristers are located in non-granular output layers, and that correlated activity predicts human visual search efficiency. These counterintuitive results suggest that a redundant correlational structure supports efficient processing and behavior.http://journal.frontiersin.org/Journal/10.3389/fncom.2014.00171/fullinferior temporal cortexmacaqueobject recognitionvisual searchefficient coding |
| spellingShingle | Chou Po Hung Ding eCui Yueh-peng eChen Chia-pei eLin Matthew eLevine Correlated activity supports efficient cortical processing Frontiers in Computational Neuroscience inferior temporal cortex macaque object recognition visual search efficient coding |
| title | Correlated activity supports efficient cortical processing |
| title_full | Correlated activity supports efficient cortical processing |
| title_fullStr | Correlated activity supports efficient cortical processing |
| title_full_unstemmed | Correlated activity supports efficient cortical processing |
| title_short | Correlated activity supports efficient cortical processing |
| title_sort | correlated activity supports efficient cortical processing |
| topic | inferior temporal cortex macaque object recognition visual search efficient coding |
| url | http://journal.frontiersin.org/Journal/10.3389/fncom.2014.00171/full |
| work_keys_str_mv | AT choupohung correlatedactivitysupportsefficientcorticalprocessing AT dingecui correlatedactivitysupportsefficientcorticalprocessing AT yuehpengechen correlatedactivitysupportsefficientcorticalprocessing AT chiapeielin correlatedactivitysupportsefficientcorticalprocessing AT matthewelevine correlatedactivitysupportsefficientcorticalprocessing |