Responses to Pattern-Violating Visual Stimuli Evolve Differently Over Days in Somata and Distal Apical Dendrites

Copyright © 2024 Gillon, Pina et al..

Scientists have long conjectured that the neocortex learns patterns in sensory data to generate top-down predictions of upcoming stimuli. In line with this conjecture, different responses to pattern-matching vs pattern-violating visual stimuli have been observed in both spiking and somatic calcium imaging data. However, it remains unknown whether these pattern-violation signals are different between the distal apical dendrites, which are heavily targeted by top-down signals, and the somata, where bottom-up information is primarily integrated. Furthermore, it is unknown how responses to pattern-violating stimuli evolve over time as an animal gains more experience with them. Here, we address these unanswered questions by analyzing responses of individual somata and dendritic branches of layer 2/3 and layer 5 pyramidal neurons tracked over multiple days in primary visual cortex of awake, behaving female and male mice. We use sequences of Gabor patches with patterns in their orientations to create pattern-matching and pattern-violating stimuli, and two-photon calcium imaging to record neuronal responses. Many neurons in both layers show large differences between their responses to pattern-matching and pattern-violating stimuli. Interestingly, these responses evolve in opposite directions in the somata and distal apical dendrites, with somata becoming less sensitive to pattern-violating stimuli and distal apical dendrites more sensitive. These differences between the somata and distal apical dendrites may be important for hierarchical computation of sensory predictions and learning, since these two compartments tend to receive bottom-up and top-down information, respectively.

Medienart:

E-Artikel

Erscheinungsjahr:

2024

Erschienen:

2024

Enthalten in:

Zur Gesamtaufnahme - volume:44

Enthalten in:

The Journal of neuroscience : the official journal of the Society for Neuroscience - 44(2024), 5 vom: 31. Jan.

Sprache:

Englisch

Beteiligte Personen:

Gillon, Colleen J [VerfasserIn]
Pina, Jason E [VerfasserIn]
Lecoq, Jérôme A [VerfasserIn]
Ahmed, Ruweida [VerfasserIn]
Billeh, Yazan N [VerfasserIn]
Caldejon, Shiella [VerfasserIn]
Groblewski, Peter [VerfasserIn]
Henley, Timothy M [VerfasserIn]
Kato, India [VerfasserIn]
Lee, Eric [VerfasserIn]
Luviano, Jennifer [VerfasserIn]
Mace, Kyla [VerfasserIn]
Nayan, Chelsea [VerfasserIn]
Nguyen, Thuyanh V [VerfasserIn]
North, Kat [VerfasserIn]
Perkins, Jed [VerfasserIn]
Seid, Sam [VerfasserIn]
Valley, Matthew T [VerfasserIn]
Williford, Ali [VerfasserIn]
Bengio, Yoshua [VerfasserIn]
Lillicrap, Timothy P [VerfasserIn]
Richards, Blake A [VerfasserIn]
Zylberberg, Joel [VerfasserIn]

Links:

Volltext

Themen:

Calcium
Distal apical dendrites
Hierarchy
Journal Article
Neocortex
Pyramidal neurons
SY7Q814VUP
Sensory prediction
Unsupervised learning

Anmerkungen:

Date Completed 02.02.2024

Date Revised 25.03.2024

published: Electronic

Citation Status MEDLINE

doi:

10.1523/JNEUROSCI.1009-23.2023

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM36480873X