Experience-dependent predictions of feedforward and contextual information in mouse visual cortex

Author:

Seignette Koen,de Kraker Leander,Papale PaoloORCID,Petro Lucy S.,Hobo Barbara,Montijn Jorrit S.,Self Matthew W.,Larkum Matthew E.,Roelfsema Pieter R.,Muckli Lars,Levelt Christiaan N.

Abstract

ABSTRACTNeurons in primary visual cortex are driven by feedforward visual inputs and top-down contextual inputs. The nature of this contextual information is difficult to study, as responses to feedforward and top-down inputs overlap in time and are difficult to disentangle experimentally. To address this issue, we measured responses to natural images and partially occluded versions of these images in the visual cortex of mice. Assessing neuronal responses before and after familiarizing mice with the non-occluded images allowed us to study experience-dependent and stimulus-specific contextual responses in pyramidal cells (PyCs) in cortical layers 2/3 and 5 in the absence of feedforward input. Surprisingly, in the same retinotopic region of cortex, we found that separate populations of PyCs in layer 2/3 responded to occluded and non-occluded images. Responses of PyCs selective for occluded images were strengthened upon familiarization and decoding analysis revealed they contained image-specific information, suggesting that they signaled the absence of predicted visual stimuli. Responses of PyCs selective for non-occluded scenes were weaker for familiarized images but stronger for unfamiliar images, suggesting that these neurons signaled the presence of unpredicted visual stimuli. Layer 5 also contained PyCs preferring either feedforward or contextual inputs, but their responses were more complex and strengthening of responses to occluded images required task engagement. The results show that visual experience decreases the activity of neurons responding to known feedforward inputs but increases the activity of neurons responding to contextual inputs tied to expected stimuli.

Publisher

Cold Spring Harbor Laboratory

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3