What is all the noise about in interval timing?
What is all the noise about in interval timing?
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DOI：
10.1098/rstb.2012.0459
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发表时间：
2014-03-05
影响因子：
6.3
通讯作者：
Buhusi, Catalin V.
中科院分区：
文献类型：
--
作者：
Oprisan, Sorinel A.;Buhusi, Catalin V.
认知过程，如决策，率计算和规划需要一个准确的估计持续时间在超秒范围间隔计时。除了准确之外，间隔定时是尺度不变的：时间估计误差与估计的持续时间成比例。这种基本性质的起源和机制尚不清楚。我们讨论了一个电路的计算特性，该电路由大量的（输入）神经振荡器投射在少量的（输出）重合检测器神经元上，这使得时间可以由其输入的重合激活模式编码。我们通过分析和数值检验表明，神经噪声中出现了时间尺度不变性。特别是，我们发现，在存储或检索信息的记忆标准时间的错误或噪声产生对称的，高斯样的输出，其宽度随标准时间线性增加。相比之下，频率变化产生非对称的长尾高斯输出，也服从尺度不变性质。在这种结构中，时标不变性既不依赖于输入种群的细节，也不依赖于噪声的分布概率。
Cognitive processes such as decision-making, rate calculation and planning require an accurate estimation of durations in the supra-second range-interval timing. In addition to being accurate, interval timing is scale invariant: the time-estimation errors are proportional to the estimated duration. The origin and mechanisms of this fundamental property are unknown. We discuss the computational properties of a circuit consisting of a large number of (input) neural oscillators projecting on a small number of (output) coincidence detector neurons, which allows time to be coded by the pattern of coincidental activation of its inputs. We showed analytically and checked numerically that time-scale invariance emerges from the neural noise. In particular, we found that errors or noise during storing or retrieving information regarding the memorized criterion time produce symmetric, Gaussian-like output whose width increases linearly with the criterion time. In contrast, frequency variability produces an asymmetric, long-tailed Gaussian-like output, that also obeys scale invariant property. In this architecture, time-scale invariance depends neither on the details of the input population, nor on the distribution probability of noise.