Neural Networks (Computer)

Publication Title: 
Scientific Reports

Assessment of hypnotic susceptibility is usually obtained through the application of psychological instruments. A satisfying classification obtained through quantitative measures is still missing, although it would be very useful for both diagnostic and clinical purposes. Aiming at investigating the relationship between the cortical brain activity and the hypnotic susceptibility level, we propose the combined use of two methodologies - Recurrence Quantification Analysis and Detrended Fluctuation Analysis - both inherited from nonlinear dynamics.

Author(s): 
Chiarucci, Riccardo
Madeo, Dario
Loffredo, Maria I.
Castellani, Eleonora
Santarcangelo, Enrica L.
Mocenni, Chiara
Publication Title: 
The Chinese Journal of Physiology

A scalable hardware/software hybrid module--called Ubidule--endowed with bio-inspired ontogenetic and epigenetic features is configured to run a neural networks simulation with developmental and evolvable capabilities. We simulated the activity of hierarchically organized spiking neural networks characterized by an initial developmental phase featuring cell death followed by spike timing dependent synaptic plasticity in presence of background noise.

Author(s): 
Perrig, Stephen
Iglesias, Javier
Shaposhnyk, Vladislav
Chibirova, Olga
Dutoit, Pierre
Cabessa, JÈrÈmie
Espa-Cervena, Katerina
Pelletier, Laurent
Berger, FranÁois
Villa, Alessandro E. P.
Publication Title: 
Artificial Life

Simple distributed strategies that modify the behavior of selfish individuals in a manner that enhances cooperation or global efficiency have proved difficult to identify. We consider a network of selfish agents who each optimize their individual utilities by coordinating (or anticoordinating) with their neighbors, to maximize the payoffs from randomly weighted pairwise games.

Author(s): 
Davies, Adam P.
Watson, Richard A.
Mills, Rob
Buckley, C. L.
Noble, Jason
Publication Title: 
Artificial Life

The prisoner's dilemma (PD) is the leading metaphor for the evolution of cooperative behavior in populations of selfish agents. Although cooperation in the iterated prisoner's dilemma (IPD) has been studied for over twenty years, most of this research has been focused on strategies that involve nonlearned behavior. Another approach is to suppose that players' selection of the preferred reply might be enforced in the same way as feeding animals track the best way to feed in changing nonstationary environments.

Author(s): 
Gutnisky, D. A.
Zanutto, B. S.
Publication Title: 
Behavioral Neuroscience

Conditioning of fear reactions to an auditory conditioned stimulus (CS) paired with a footshock unconditioned stimulus (US) involves CS transmission to the amygdala from the auditory thalamus, the auditory cortex, or both. This article presents a simple neural network model of this neural system. The model consists of modules of mutually inhibitory nonlinear units representing the different relevant anatomical structures of the thalamo-amygdala and thalamo-corticoamygdala circuitry.

Author(s): 
Armony, J. L.
Servan-Schreiber, D.
Cohen, J. D.
LeDoux, J. E.
Publication Title: 
Bulletin of Mathematical Biology

In the framework of the neural network theory effects similar to hypnotic displays are constructed. They are based on the associative paradigm involving non-linear interaction of excitatory and inhibitory channels with synaptic memory. The non-linearity of long-term memorizing processes may cause effects exhibited by blind spots, which are interpreted as the first stage of hypnosis. More complicated phenomena are discussed in terms of a two-layer network.

Author(s): 
Kuzin, I. A.
Publication Title: 
Zhong Xi Yi Jie He Xue Bao = Journal of Chinese Integrative Medicine

OBJECTIVE: To analyze the indications of the therapies for rheumatoid arthritis (RA) with neural network model analysis. METHODS: Three hundred and ninety-seven patients were included in the clinical trial from 9 clinical centers. They were randomly divided into Western medicine (WM) treated group, 194 cases; and traditional Chinese herbal medicine (CM) treated group, 203 cases. A complete physical examination and 18 common clinical manifestations were prepared before the randomization and after the treatment.

Author(s): 
Zha, Qing-lin
He, Yi-Ting
Yan, Xiao-ping
Su, Li
Song, Yue-jin
Zeng, Sheng-ping
Liu, Wei
Feng, Xing-hua
Qian, Xian
Zhu, Wan-hua
Lin, Se-qi
Lu, Cheng
Lu, Ai-Ping
Publication Title: 
Zhong Xi Yi Jie He Xue Bao = Journal of Chinese Integrative Medicine

The ZHENG (syndrome of traditional Chinese medicine) oriented effects and the multiple-targets' mechanism are the main challenges encountered by recent researches for Chinese herbal formula. Using methods of bioinformatics and systems biology, we proposed a biological network-based framework for understanding the mechanism of Chinese herbal formula, and reviewed our studies under this framework which aimed to explore the relationship between Chinese herbal formula and corresponding ZHENGs, as well as the synergism of herbal combinations.

Author(s): 
Li, Shao
Publication Title: 
Zhong Xi Yi Jie He Xue Bao = Journal of Chinese Integrative Medicine

Many clinical studies showed that the traditional Chinese medicine (TCM) syndromes in stroke have been dynamically changing since the onset of the disease. The changing of TCM syndromes can be attributed to multiple correlative factors such as age, sex, area distribution, underlying diseases, and constitutional factor. Data-driven methods involving multivariate statistical methods and descriptive approach have been used to analyze the regularity of dynamically changed TCM syndromes of stroke.

Author(s): 
Fu, Qin-hui
Pei, Jian
Hui, Jian-rong
Song, Yi
Publication Title: 
Journal of Aging and Physical Activity

Numerous methods for studying the prevention of falls and age-related sensorimotor degradation have been proposed and tested. Some approaches are too impractical to use with seniors or too expensive for practitioners. Practitioners desire a simple, reliable technique. The goals of this research were to develop such an approach and to apply it in exploring the effect of Tai Chi on age-related sensorimotor degradation. The method employed artificial-neural-network (ANN) models trained by using individuals' center-of-pressure (COP) measurements and age.

Author(s): 
Shan, Gongbing
Daniels, Dayna
Gu, Rongri

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