Anti-correlated cortical networks arise from spontaneous neuronal dynamics at slow timescales

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作者
Nathan X. Kodama
Tianyi Feng
James J. Ullett
Hillel J. Chiel
Siddharth S. Sivakumar
Roberto F. Galán
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[1] Case Western Reserve University,Department of Electrical Engineering and Computer Science
[2] Case Western Reserve University,Department of Biology
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In the highly interconnected architectures of the cerebral cortex, recurrent intracortical loops disproportionately outnumber thalamo-cortical inputs. These networks are also capable of generating neuronal activity without feedforward sensory drive. It is unknown, however, what spatiotemporal patterns may be solely attributed to intrinsic connections of the local cortical network. Using high-density microelectrode arrays, here we show that in the isolated, primary somatosensory cortex of mice, neuronal firing fluctuates on timescales from milliseconds to tens of seconds. Slower firing fluctuations reveal two spatially distinct neuronal ensembles, which correspond to superficial and deeper layers. These ensembles are anti-correlated: when one fires more, the other fires less and vice versa. This interplay is clearest at timescales of several seconds and is therefore consistent with shifts between active sensing and anticipatory behavioral states in mice.
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