The hypothalamo-pituitary-testicular and hypothalamo-pituitary-adrenal axes are prototypical coupled neuroendocrine systems. In the present study, we contrasted in vivo linkages within and between these two axes using methods without linearity assumptions. We examined 11 young (21-31 yr) and 8 older (62-74 yr) men who underwent frequent (every 2.5 min) blood sampling overnight for paired measur...

Experimentalists tend to classify models of visual perception as being either local or global, and involving either feedforward or feedback processing. We argue that these distinctions are not as helpful as they might appear, and we illustrate these issues by analyzing models of visual crowding as an example. Recent studies have argued that crowding cannot be explained by purely local processin...

A novel blind initialization procedure for iterative decision feedback equalizers in block-based transmission systems is proposed and investigated. It relies on an initial stage using Regalia’s blockbased Constant Modulus iterative algorithm for the blind computation of a linear equalizer; then a switch to decision feedback mode is performed. It is shown how the building blocks of the decision ...

Rapid and large scanning of a dissipative Kerr-microresonator soliton comb with the characterization all modes along separation is imperative for emerging applications frequency-scanned combs. However, scan speed limited by gain feedback systems measurement frequency shift has not been demonstrated. To overcome limitation feedback, we incorporate feedforward. With additional > 40 dB feedforward...

The most successful learning models in deep learning are currently based on the paradigm of successive learning of representations followed by a decision layer. This is mostly actualized by feedforward multilayer neural networks, such as ConvNets, where each layer forms one of such successive representations. However, an alternative that can achieve the same goal is a feedback based approach, i...

d (t) u(t) y(t F((J,q) P(q) ~ I .. ... I I I I I I I I Figure 2: A general architecture of tracking systems using feedforward control I I I I I I I I I I I I I I I I I I I I I ~ Feedforward _ ............. : . Closed LooP--": ; Controller ~ Plant ! In Figure 2, the feedforward controller appears as a pre-filter before the closed-loop system comprising the prevalently adopted is to feed forward ...