Brain-wide dynamics linking sensation to action during decision-making

感觉系统 神经科学 运动前皮质 感知 动作(物理) 心理学 认知心理学 任务(项目管理) 计算机科学 生物 量子力学 解剖 物理 经济 管理
作者
Andrei Khilkevich,Michael Lohse,Ryan Low,Ivana Oršolić,Tadej Božič,Paige Windmill,Thomas D. Mrsic‐Flogel
出处
期刊:Nature [Nature Portfolio]
标识
DOI:10.1038/s41586-024-07908-w
摘要

Abstract Perceptual decisions rely on learned associations between sensory evidence and appropriate actions, involving the filtering and integration of relevant inputs to prepare and execute timely responses 1,2 . Despite the distributed nature of task-relevant representations 3–10 , it remains unclear how transformations between sensory input, evidence integration, motor planning and execution are orchestrated across brain areas and dimensions of neural activity. Here we addressed this question by recording brain-wide neural activity in mice learning to report changes in ambiguous visual input. After learning, evidence integration emerged across most brain areas in sparse neural populations that drive movement-preparatory activity. Visual responses evolved from transient activations in sensory areas to sustained representations in frontal-motor cortex, thalamus, basal ganglia, midbrain and cerebellum, enabling parallel evidence accumulation. In areas that accumulate evidence, shared population activity patterns encode visual evidence and movement preparation, distinct from movement-execution dynamics. Activity in movement-preparatory subspace is driven by neurons integrating evidence, which collapses at movement onset, allowing the integration process to reset. Across premotor regions, evidence-integration timescales were independent of intrinsic regional dynamics, and thus depended on task experience. In summary, learning aligns evidence accumulation to action preparation in activity dynamics across dozens of brain regions. This leads to highly distributed and parallelized sensorimotor transformations during decision-making. Our work unifies concepts from decision-making and motor control fields into a brain-wide framework for understanding how sensory evidence controls actions.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
qiu发布了新的文献求助10
1秒前
小巧安柏给小巧安柏的求助进行了留言
2秒前
2秒前
2秒前
3秒前
今后应助雪白小丸子采纳,获得10
4秒前
Senning发布了新的文献求助10
4秒前
科目三应助薄荷778采纳,获得10
4秒前
量子星尘发布了新的文献求助10
4秒前
5秒前
6秒前
深情安青应助故意的乐菱采纳,获得10
6秒前
贺宝完成签到,获得积分20
7秒前
千里江山一只蝇完成签到,获得积分10
7秒前
7秒前
7秒前
qiu完成签到,获得积分10
8秒前
小鹿发布了新的文献求助10
8秒前
8秒前
顽强的小刘应助霸气凡白采纳,获得10
10秒前
大模型应助芝麻采纳,获得10
10秒前
lidebing发布了新的文献求助10
11秒前
nozero应助wen采纳,获得30
11秒前
薄荷778完成签到,获得积分10
11秒前
11秒前
ds完成签到,获得积分20
11秒前
美丽凌柏发布了新的文献求助10
12秒前
PanCiro发布了新的文献求助10
12秒前
13秒前
量子星尘发布了新的文献求助10
13秒前
方舟花完成签到,获得积分10
13秒前
成绩好发布了新的文献求助10
13秒前
14秒前
科研通AI5应助单身的凡雁采纳,获得10
14秒前
15秒前
zzg完成签到,获得积分10
15秒前
lidebing完成签到,获得积分10
16秒前
科研通AI5应助yyllyy采纳,获得10
18秒前
18秒前
高分求助中
Production Logging: Theoretical and Interpretive Elements 2700
Neuromuscular and Electrodiagnostic Medicine Board Review 1000
こんなに痛いのにどうして「なんでもない」と医者にいわれてしまうのでしょうか 510
The First Nuclear Era: The Life and Times of a Technological Fixer 500
ALUMINUM STANDARDS AND DATA 500
Walter Gilbert: Selected Works 500
岡本唐貴自伝的回想画集 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3667657
求助须知:如何正确求助?哪些是违规求助? 3226188
关于积分的说明 9768281
捐赠科研通 2936167
什么是DOI,文献DOI怎么找? 1608152
邀请新用户注册赠送积分活动 759520
科研通“疑难数据库(出版商)”最低求助积分说明 735404