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应用于眼优势柱和方位柱形成的弹性网络模型分析。

Analysis of the elastic net model applied to the formation of ocular dominance and orientation columns.

作者信息

Goodhill G J, Cimponeriu A

机构信息

Department of Neuroscience and Georgetown Institute for Cognitive and Computational Sciences, Georgetown University Medical Center, Washington DC 20007, USA.

出版信息

Network. 2000 May;11(2):153-68.

PMID:10880004
Abstract

The development and structure of orientation (OR) and ocular dominance (OD) maps in the primary visual cortex of cats and monkeys can be modelled using the elastic net algorithm, which attempts to find an 'optimal' cortical representation of the input features. Here we analyse this behaviour in terms of parameters of the feature space. We derive expressions for the OR periodicity, and the first bifurcation point as a function of the annealing parameter using the methods of Durbin et al (Durbin R, Szeliski R and Yuille A 1989 Neural Computation 1 348-58). We also investigate the effect of the relative order of OR and OD development on overall map structure. This analysis suggests that developmental order can be predicted from the final OR and OD periodicities. In conjunction with experimentally measured values for these periodicities, the model predicts that (i) in normal macaques OD develops first, (ii) in normal cats OR develops first and (iii) in strabismic cats OD develops first.

摘要

猫和猴子初级视觉皮层中方位(OR)和眼优势(OD)图谱的发育和结构可以使用弹性网络算法进行建模,该算法试图找到输入特征的“最优”皮层表征。在此,我们根据特征空间的参数来分析这种行为。我们使用德宾等人(Durbin R、Szeliski R和Yuille A,1989年,《神经计算》1卷,348 - 58页)的方法,推导出作为退火参数函数的OR周期性和第一个分岔点的表达式。我们还研究了OR和OD发育的相对顺序对整体图谱结构的影响。该分析表明,发育顺序可以从最终的OR和OD周期性预测出来。结合这些周期性的实验测量值,该模型预测:(i)在正常猕猴中OD先发育,(ii)在正常猫中OR先发育,以及(iii)在斜视猫中OD先发育。

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