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
Han完成签到,获得积分10
1秒前
善学以致用应助吴可之采纳,获得10
11秒前
11秒前
科研通AI2S应助小龅牙吖采纳,获得10
13秒前
14秒前
小王不举铁发布了新的文献求助200
15秒前
16秒前
内向绿竹完成签到,获得积分10
16秒前
bird发布了新的文献求助10
17秒前
魔幻雪巧完成签到,获得积分10
19秒前
小吴完成签到,获得积分10
19秒前
科研通AI2S应助冷傲迎梦采纳,获得10
20秒前
21秒前
多肽专家完成签到,获得积分10
23秒前
23秒前
SciGPT应助吾日三省吾身采纳,获得10
24秒前
25秒前
25秒前
黎小静发布了新的文献求助10
26秒前
26秒前
26秒前
anitachiu1104发布了新的文献求助10
28秒前
彭于晏应助Ying采纳,获得10
29秒前
乐优完成签到 ,获得积分10
30秒前
kmzzy发布了新的文献求助10
30秒前
31秒前
坚定念云发布了新的文献求助30
32秒前
33秒前
34秒前
36秒前
37秒前
38秒前
7777完成签到,获得积分20
40秒前
云中歌完成签到,获得积分10
40秒前
carl发布了新的文献求助10
41秒前
秋半梦完成签到,获得积分10
42秒前
李爱国应助现代安筠采纳,获得10
43秒前
44秒前
cc完成签到 ,获得积分10
45秒前
吾日三省吾身完成签到,获得积分10
46秒前
高分求助中
【此为提示信息,请勿应助】请按要求发布求助,避免被关 20000
Continuum Thermodynamics and Material Modelling 2000
Encyclopedia of Geology (2nd Edition) 2000
105th Edition CRC Handbook of Chemistry and Physics 1600
Maneuvering of a Damaged Navy Combatant 650
Периодизация спортивной тренировки. Общая теория и её практическое применение 310
Mixing the elements of mass customisation 300
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 3778595
求助须知:如何正确求助?哪些是违规求助? 3324214
关于积分的说明 10217326
捐赠科研通 3039397
什么是DOI,文献DOI怎么找? 1668059
邀请新用户注册赠送积分活动 798482
科研通“疑难数据库(出版商)”最低求助积分说明 758385