This paper outlines a dynamic theory of development and adaptation in neural networks with feedback connections. Given input ensemble, the connections change in strength according to an associative learning rule and approach a stable state where the neuronal outputs are decorrelated. We apply this theory to primary visual cortex and examine the implications of the dynamical decorrelation of the...

Although high bandwidth for the pressure tracking of hydraulic actuators is highly desirable in many industrial applications, it has been a challenge to achieve, mainly due to the natural velocity feedback path in these actuators. In this paper, we investigate the extent to which a fixed-gain linear controller designed based on quantitative feedback theory (QFT) can improve the pressure trackin...

In this paper, a novel Two-Degree-Of-Freedom (2DOF) design procedure for Multi-Input Multi-Output Quantitative Feedback Theory (MIMO QFT) problems with Tracking Error Specifications (TESs) is presented. In the proposed procedure, the feedback compensator design is separated from the pre-filter design, using the model matching approach and the unstructured uncertainty modeling concept. This pape...

A focus on the eco-evolutionary feedback continually operating between a population's evolution and its environment helps to appreciate the generality of ESS theory. Here we illustrate, through a sequence of four examples, how respecting such feedback in the evolutionary dynamics of quantitative traits may result in qualitatively unexpected outcomes. Reviewing existing insights and complementin...

With the latest paradigm shift in SLA from Cognitivism to Sociocultural Theory (SCT), more studies are carried out to investigate the efficacy of Written Corrective Feedback (WCF) through a social and cultural lens. A more recent offspring of SCT is Activity Theory which provides an explanatory framework for scrutinizing an activity in a social setting. The present study aimed at investigating ...

Understanding the relationship between spontaneous stochastic fluctuations and the topology of the underlying gene regulatory network is fundamental for the study of single-cell stochastic gene expression. Here by solving the analytical steady-state protein distribution in a general model of stochastic gene expression with nonlinear feedback regulation, we reveal a quantitative relation between...