Abstract

Unlike the exhaustive determination of the retina, key populations in the lateral geniculate nucleus of the thalamus (LGN) may have been missed. Here, we have begun to characterize the full range of extracellular neuronal responses in the LGN of awake monkeys using multi-electrodes during the presentation of colored noise visual stimuli to identify any previously overlooked signals. The extracellular spike waveforms of single units were classified into seven distinct classes: four negative-dominant classes that were narrow or broad, commonly associated with inhibitory or excitatory neurons, respectively; one triphasic class; and two positive-dominant classes. These units had their receptive fields (RF) mapped using spike-triggered averaging and were classified into magnocellular (M), parvocellular (P), koniocellular (K), and non-RF (N) neurons. Spike classes were correlated with their mapped RF and response characteristics to identify any relationships between spike shape and cell type: negative and narrow spiking waveform units had RFs that were mostly P; negative and broad waveform units, mostly N; and positive waveform units, mostly M, as well as having shorter response latencies, larger RF sizes, and larger eccentricities than the other waveform classes. N cells, those without an estimated RF, have not been regularly reported before. We observed that most N cells consistently responded to the visually presented noise stimulus at a lower and more sustained rate than units with an RF. Our observations indicate that the population of LGN cells may be broader than traditionally held.

Competing Interest Statement

The authors have declared no competing interest.

Details

Title
More than expected: extracellular waveforms and functional responses in monkey LGN
Author
Shi Hai Sun; Killian, Nathaniel J; Pezaris, John S
University/institution
Cold Spring Harbor Laboratory Press
Section
New Results
Publication year
2023
Publication date
Nov 23, 2023
Publisher
Cold Spring Harbor Laboratory Press
ISSN
2692-8205
Source type
Working Paper
Language of publication
English
ProQuest document ID
2892798815
Copyright
© 2023. This article is published under http://creativecommons.org/licenses/by/4.0/ (“the License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.