Temporal and spatial tuning of dorsal lateral geniculate nucleus neurons in unanesthetized rats.

TitleTemporal and spatial tuning of dorsal lateral geniculate nucleus neurons in unanesthetized rats.
Publication TypeJournal Article
Year of Publication2016
AuthorsSriram B, Meier PM, Reinagel P
JournalJ Neurophysiol
Volume115
Issue5
Pagination2658-71
Date Published2016 06 01
ISSN1522-1598
KeywordsAnimals, Evoked Potentials, Visual, Geniculate Bodies, Male, Neurons, Rats, Rats, Long-Evans, Wakefulness
Abstract

Visual response properties of neurons in the dorsolateral geniculate nucleus (dLGN) have been well described in several species, but not in rats. Analysis of responses from the unanesthetized rat dLGN will be needed to develop quantitative models that account for visual behavior of rats. We recorded visual responses from 130 single units in the dLGN of 7 unanesthetized rats. We report the response amplitudes, temporal frequency, and spatial frequency sensitivities in this population of cells. In response to 2-Hz visual stimulation, dLGN cells fired 15.9 ± 11.4 spikes/s (mean ± SD) modulated by 10.7 ± 8.4 spikes/s about the mean. The optimal temporal frequency for full-field stimulation ranged from 5.8 to 19.6 Hz across cells. The temporal high-frequency cutoff ranged from 11.7 to 33.6 Hz. Some cells responded best to low temporal frequency stimulation (low pass), and others were strictly bandpass; most cells fell between these extremes. At 2- to 4-Hz temporal modulation, the spatial frequency of drifting grating that drove cells best ranged from 0.008 to 0.18 cycles per degree (cpd) across cells. The high-frequency cutoff ranged from 0.01 to 1.07 cpd across cells. The majority of cells were driven best by the lowest spatial frequency tested, but many were partially or strictly bandpass. We conclude that single units in the rat dLGN can respond vigorously to temporal modulation up to at least 30 Hz and spatial detail up to 1 cpd. Tuning properties were heterogeneous, but each fell along a continuum; we found no obvious clustering into discrete cell types along these dimensions.

DOI10.1152/jn.00812.2014
Alternate JournalJ. Neurophysiol.
PubMed ID26936980
PubMed Central IDPMC4922480
Grant ListR01 EY016856 / EY / NEI NIH HHS / United States
Category: 
IRG Funded