Search results for "Timing"

"…The times they aren't a-changin'…" rTMS does not affect basic mechanisms of temporal discrimination: a pilot study with ERPs.

2014

In time processing, the role of different cortical areas is still under investigation. Event-related potentials (ERPs) represent valuable indices of neural timing mechanisms in the millisecond-to-second domain. We used an interference approach by repetitive TMS (rTMS) on ERPs and behavioral performance to investigate the role of different cortical areas in processing basic temporal information. Ten healthy volunteers were requested to decide whether time intervals between two tones (S1-S2, probe interval) were shorter (800 ms), equal to, or longer (1200 ms) than a previously listened 1000-ms interval (target interval) and press different buttons accordingly. This task was performed at the b…

An alliance timing game under real options in biopharmaceutical industry

2014

Editorial: Timing the Brain: From Basic Sciences to Clinical Implications

2022

Timing of Exercise Affects Glycemic Control in Type 2 Diabetes Patients Treated with Metformin

2018

Objective. The purpose of the study was to examine the acute effects of the timing of exercise on the glycemic control during and after exercise in T2D. Methods. This study included 26 T2D patients (14 women and 12 men) who were treated with metformin. All patients were tested on four occasions: metformin administration alone (Metf), high-intensity interval training (HIIT) performed at 30 minutes (EX30), 60 minutes (EX60), and 90 minutes (EX90) postbreakfast, respectively. Glucose, insulin, and superoxide dismutase (SOD) activity were examined. Results. Glucose decreased significantly after the exercise in EX30, EX60, and EX90. Compared with Metf, the decline in glucose immediately after th…

Sequence Learning in a Single Trial: A Spiking Neurons Model Based on Hippocampal Circuitry.

2020

ABSTRACTIn contrast with our everyday experience using brain circuits, it can take a prohibitively long time to train a computational system to produce the correct sequence of outputs in the presence of a series of inputs. This suggests that something important is missing in the way in which models are trying to reproduce basic cognitive functions. In this work, we introduce a new neuronal network architecture that is able to learn, in a single trial, an arbitrary long sequence of any known objects. The key point of the model is the explicit use of mechanisms and circuitry observed in the hippocampus, which allow the model to reach a level of efficiency and accuracy that, to the best of our…

Tactile input of the hand and the control of reaching to grasp movements

1997

The role of tactile information of the hand in the control of reaching to grasp movements was investigated. The kinematics of both reaching (or transport) and grasp components were studied in healthy subjects in two experimental conditions. In one condition (control condition) subjects were required to reach and grasp an object that could have two sizes and that could be located at two distances from the viewer. In the other condition (anaesthesia condition) the same movements were executed, but anaesthesia was provided to the subjects' fingertips. In both conditions vision of the hand was prevented during movement. Anaesthesia affected mainly the kinematics of the first phase of grasping, …

Heterochromatin Networks: Topology, Dynamics, and Function (a Working Hypothesis)

2021

Open systems can only exist by self-organization as pulsing structures exchanging matter and energy with the outer world. This review is an attempt to reveal the organizational principles of the heterochromatin supra-intra-chromosomal network in terms of nonlinear thermodynamics. The accessibility of the linear information of the genetic code is regulated by constitutive heterochromatin (CHR) creating the positional information in a system of coordinates. These features include scale-free splitting-fusing of CHR with the boundary constraints of the nucleolus and nuclear envelope. The analysis of both the literature and our own data suggests a radial-concentric network as the main structural…

GLOBAL DELAY TIME FOR GENERAL DISTRIBUTED NETWORKS WITH APPLICATIONS TO TIMING ANALYSIS OF DIGITAL MOS INTEGRATED CIRCUITS

1989

We consider here a general nerwork composed by n‐distributed parameters lines (with telegraph‐equations models) and m‐capacitors, all connected by a resistive multiport. An asymptotic stability property drives us to define and evaluate a global parameter (“λ‐delay time”) which describes the speed of signals propagation through the network. Because of its simplicity of calculation and its tightness, the given upper bound of the λ‐delay time is useful in timing analysis of MOS integrated chips.

Revisiting the Profitability of Market Timing with Moving Averages

2017

In a recent empirical study by Glabadanidis (“Market Timing with Moving Averages” (2015), International Review of Finance 15(13):387–425), the author reports striking evidence of extraordinarily good performance of the moving average trading strategy. In this paper, we demonstrate that this “too good to be true” reported performance of the moving average strategy is due to simulating trading with look-ahead bias. We perform simulations without look-ahead bias and report the true performance of the moving average strategy. We find that, at best, the performance of the moving average strategy is only marginally better than that of the corresponding buy-and-hold strategy. In statistical terms,…

Dynamic Asset Allocation Strategies Basedon Unexpected Volatility

2014

The author documents that at the aggregate stock market level, unexpected volatility is negatively related to expected future returns, and positively related to future volatility. The author demonstrates how the predictive ability of unexpected volatility can be utilized in dynamic asset allocation strategies that deliver a substantial improvement in terms of risk-adjusted performance as compared to traditional buy-and-hold strategies. In addition, the author shows that active strategies based on unexpected volatility outperform the popular active strategy with a volatility target mechanism, and have some edge over the popular market timing strategy with a 10-month simple moving average rul…