Abstract：
:Incoming stimuli are encoded collectively by populations of cortical neurons, which transmit information by using a neural code thought to be predominantly redundant. Redundant coding is widely believed to reflect a design choice whereby neurons with overlapping receptive fields sample environmental stimuli to convey similar information. Here, we performed multi-electrode laminar recordings in awake monkey V1 to report significant synergistic interactions between nearby neurons within a cortical column. These interactions are clustered non-randomly across cortical layers to form synergy and redundancy hubs. Homogeneous sub-populations comprising synergy hubs decode stimulus information significantly better compared to redundancy hubs or heterogeneous sub-populations. Mechanistically, synergistic interactions emerge from the stimulus dependence of correlated activity between neurons. Our findings suggest a refinement of the prevailing ideas regarding coding schemes in sensory cortex: columnar populations can efficiently encode information due to synergistic interactions even when receptive fields overlap and shared noise between cells is high.
journal_name
Neuronjournal_title
Neuronauthors
Nigam S,Pojoga S,Dragoi Vdoi
10.1016/j.neuron.2019.07.006subject
Has Abstractpub_date
2019-10-23 00:00:00pages
402-411.e4issue
2eissn
0896-6273issn
1097-4199pii
S0896-6273(19)30632-4journal_volume
104pub_type
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