scholarly journals Microsaccades before response initiation reflect angular errors in a manual peripheral localization task

2021 ◽  
Vol 21 (9) ◽  
pp. 2220
Author(s):  
Anna Kosovicheva ◽  
Peter J. Bex
Keyword(s):  
Localization Task ◽  
Response Initiation

Minimum Audible Angle and Discrimination in a 3-D Virtual Auditory Localization Task

2000 ◽  
Author(s):  
Daniel S. Gajewski ◽  
Alan D. Musicant ◽  
Robert S. Bolia ◽  
Daniel L. Hassler ◽  
Shannon M. Walker
Keyword(s):  
Auditory Localization ◽  
Localization Task

scholarly journals Robust deep learning pipeline for PVC beats localization

2021 ◽  
Vol 29 ◽  
pp. 475-486
Author(s):  
Bohdan Petryshak ◽  
Illia Kachko ◽  
Mykola Maksymenko ◽  
Oles Dobosevych
Keyword(s):  
Neural Networks ◽  
Deep Learning ◽  
Premature Ventricular Contraction ◽  
Ecg Signal ◽  
Ventricular Contraction ◽  
Localization Task ◽  
Robust Performance ◽  
Extensive Evaluation ◽  
Decoder Architecture ◽  
Public Datasets

BACKGROUND: Premature ventricular contraction (PVC) is among the most frequently occurring types of arrhythmias. Existing approaches for automated PVC identification suffer from a range of disadvantages related to hand-crafted features and benchmarking on datasets with a tiny sample of PVC beats. OBJECTIVE: The main objective is to address the drawbacks described above in the proposed framework, which takes a raw ECG signal as an input and localizes R peaks of the PVC beats. METHODS: Our method consists of two neural networks. First, an encoder-decoder architecture trained on PVC-rich dataset localizes the R peak of both Normal and anomalous heartbeats. Provided R peaks positions, our CardioIncNet model does the delineation of healthy versus PVC beats. RESULTS: We have performed an extensive evaluation of our pipeline with both single- and cross-dataset paradigms on three public datasets. Our approach results in over 0.99 and 0.979 F1-measure on both single- and cross-dataset paradigms for R peaks localization task and above 0.96 and 0.85 F1 score for the PVC beats classification task. CONCLUSIONS: We have shown a method that provides robust performance beyond the beats of Normal nature and clearly outperforms classical algorithms both in the case of a single and cross-dataset evaluation. We provide a Github1 repository for the reproduction of the results.

Evaluation of potential antiamnesic activities of aqueous extract of Vitex trifolia leaves against scopolamine induced amnesia and in normal rats

2015 ◽  
Vol 26 (2) ◽  
Author(s):  
Amberkar Vittal Rao Mohanbabu ◽  
Meena Kumari Kamal Kishore ◽  
Bangalore Revanna Chandrashekar ◽  
Hoskeri Dakappa Pradeepa ◽  
Rockson Christopher ◽  
...  
Keyword(s):  
Working Memory ◽  
Passive Avoidance ◽  
Probe Trial ◽  
Water Maze ◽  
Long Term Memory ◽  
Localization Task ◽  
Traditional Use ◽  
Term Memory ◽  
Memory Enhancing

AbstractThe goal of this study was to evaluate the cerebroprotective and cognition-enhancing activities of the aqueousReference or working memory and long-term memory in rodents were tested by experimental paradigms like passive avoidance (PA) and T-maze (TM), respectively. TM and Morris water maze (MWM) were used to screen putative spatial or localization task and the navigation memory-enhancing activities ofThe higher dose (20 mg/kg) of plant extract exhibited significant (p<0.01) antiamnesic activity in the PA and TM models vs. the control. In the MWM test, at probe trial,These results partly substantiate the traditional use of

Coactivation of response initiation processes with redundant signals

2018 ◽  
Vol 675 ◽  
pp. 7-11 ◽  
Author(s):  
Dana Maslovat ◽  
Joëlle Hajj ◽  
Anthony N. Carlsen
Keyword(s):  
Response Initiation

Event-related responses and rhythmic activity of the human brain during auditory localization task

2012 ◽  
Vol 85 (3) ◽  
pp. 417-418
Author(s):  
L.B. Shestopalova ◽  
E.A. Petropavlovskaia ◽  
N.I. Nikitin ◽  
S.Ph. Vaitulevich
Keyword(s):  
Human Brain ◽  
Rhythmic Activity ◽  
Auditory Localization ◽  
Localization Task

Testing the Egocentric Mirror-Rotation Hypothesis

2010 ◽  
Vol 23 (5) ◽  
pp. 373-383 ◽  
Author(s):  
Cornelius Muelenz ◽  
Matthias Gamer ◽  
Heiko Hecht
Keyword(s):  
Virtual World ◽  
Experimental Setup ◽  
Mirror Surface ◽  
Localization Task ◽  
Two Stage ◽  
Egocentric Bias ◽  
The Law ◽  
Spatial Locations ◽  
As If

AbstractAlthough observers know about the law of reflection, their intuitive understanding of spatial locations in mirrors is often erroneous. Hecht et al. (2005) proposed a two-stage mirror-rotation hypothesis to explain these misconceptions. The hypothesis involves an egocentric bias to the effect that observers behave as if the mirror surface were rotated by about 2° to be more orthogonal than is the case. We test four variants of the hypothesis, which differ depending on whether the virtual world, the mirror, or both are taken to be rotated. We devised an experimental setup that allowed us to distinguish between these variants. Our results confirm that the virtual world — and only the virtual world — is being rotated. Observers had to perform a localization task, using a mirror that was either fronto-parallel or rotated opposite the direction of the predicted effect. We were thus able to compensate for the effect. The positions of objects in mirrors were perceived in accordance with the erroneous conception that the virtual world behind the mirror is slightly rotated and that the reconstruction is based on the non-rotated fronto-parallel mirror. A covert rotation of the mirror by about 2° against the predicted effect was able to compensate for the placement error.

Multiple Mechanisms of Endocannabinoid Response Initiation in Hippocampus

2006 ◽  
Vol 95 (1) ◽  
pp. 67-75 ◽  
Author(s):  
David A. Edwards ◽  
Jimok Kim ◽  
Bradley E. Alger
Keyword(s):  
Response Initiation

Automatic Speaker Localization and Tracking

2010 ◽  
Vol 2 (3) ◽  
pp. 15-33
Author(s):  
Siham Ouamour ◽  
Halim Sayoud ◽  
Salah Khennouf
Keyword(s):  
Correlation Method ◽  
Differential Method ◽  
Localization Task ◽  
Fusion Technique ◽  
Decision Level ◽  
Speaker Tracking ◽  
Speaker Localization ◽  
Localization And Tracking ◽  
Logarithmic Energy

This paper presents a system of speaker localization for a purpose of speaker tracking by camera. The authors use the information given by the two microphones, placed in opposition, to determine the position of the active speaker in trying to supervise the audio-visual recording. To achieve the speaker localization task, the authors have proposed and employed two methods, which are called respectively: the filtered correlation method and the energy differential method. The principle of the first method is based on the calculation of the correlation between the two signals collected by the two microphones and a special filtering. The second is based on the computation of the logarithmic energy differential between these two signals. However, when different methods are used simultaneously to make a decision, it is often interesting to use a fusion technique combining those estimations or decisions in order to enhance the system performances. For that purpose, this paper proposes two fusion techniques operating at the decision level which are used to fuse the two estimations into one that should be more precise.

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