Three rules govern thalamocortical connectivity of fast-spike inhibitory interneurons in the visual cortex.

Autor: Bereshpolova Y; Department of Psychological Sciences, University of Connecticut, Storrs, United States., Hei X; Department of Psychological Sciences, University of Connecticut, Storrs, United States., Alonso JM; Department of Psychological Sciences, University of Connecticut, Storrs, United States.; Department of Biological and Vision Sciences, State University of New York College of Optometry, New York, United States., Swadlow HA; Department of Psychological Sciences, University of Connecticut, Storrs, United States.; Department of Biological and Vision Sciences, State University of New York College of Optometry, New York, United States.
Jazyk: angličtina
Zdroj: ELife [Elife] 2020 Dec 08; Vol. 9. Date of Electronic Publication: 2020 Dec 08.
DOI: 10.7554/eLife.60102
Abstrakt: Some cortical neurons receive highly selective thalamocortical (TC) input, but others do not. Here, we examine connectivity of single thalamic neurons (lateral geniculate nucleus, LGN) onto putative fast-spike inhibitory interneurons in layer 4 of rabbit visual cortex. We show that three 'rules' regulate this connectivity. These rules concern: (1) the precision of retinotopic alignment, (2) the amplitude of the postsynaptic local field potential elicited near the interneuron by spikes of the LGN neuron, and (3) the interneuron's response latency to strong, synchronous LGN input. We found that virtually all first-order fast-spike interneurons receive input from nearly all LGN axons that synapse nearby, regardless of their visual response properties. This was not the case for neighboring regular-spiking neurons. We conclude that profuse and highly promiscuous TC inputs to layer-4 fast-spike inhibitory interneurons generate response properties that are well-suited to mediate a fast, sensitive, and broadly tuned feed-forward inhibition of visual cortical excitatory neurons.
Competing Interests: YB, XH, JA, HS No competing interests declared
(© 2020, Bereshpolova et al.)
Databáze: MEDLINE