.png){kind=icon}
返回
State-dependent computations: spatiotemporal processing in cortical networks
.png){kind=icon}
PRE
AI
DOI：10.1038/nrn2558.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
A conspicuous ability of the brain is to seamlessly assimilate and process spatial and temporal features of sensory stimuli. This ability is indispensable for the recognition of natural stimuli. Yet, a general computational framework for processing spatiotemporal stimuli remains elusive. Recent theoretical and experimental work suggests that spatiotemporal processing emerges from the interaction between incoming stimuli and the internal dynamic state of neural networks, including not only their ongoing spiking activity but also their 'hidden' neuronal states, such as short-term synaptic plasticity.
Keyword:
SHORT-TERM
NEURAL-NETWORK
TEMPORAL INFORMATION
SYNAPTIC PLASTICITY
TRANSIENT DYNAMICS
SPEECH RECOGNITION
ACTIVITY PATTERNS
RECEPTIVE-FIELDS
NEURONS
CEREBELLUM
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
26.7
论文数:
4.0K
被引数:
4.8W
机构
引用论文
Enzymatic formation of N2,N2-dimethylguanosine in eukaryotic tRNA: Importance of the tRNA architecture.png)
Biochimie
BiochimieIF0
PREAI
分享收藏Synaptic reverberation underlying mnemonic persistent activity助眠持续活动的突触混响TRENDS IN NEUROSCIENCES
TRENDS IN NEUROSCIENCESIF15.1
PREAI
分享收藏分享收藏分享收藏
查看更多内容