Distributed Neural Processing
Mostrando 1-12 de 17 artigos, teses e dissertações.
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1. D-VisionDraughts: uma rede neural jogadora de damas que aprende por reforço em um ambiente de computação distribuída
The objetive of this work is to propose a draughts learning system, the D-VisionDraughts (Distributed VisionDraughts): a distributed draughts player agent based on neural networks that learns by reinforcement. The D-VisionDraughts is trained in a distributed processing environment in order to achieve a high level of play without expert game analysis and with
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 23/02/2011
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2. Um simulador distribuido para redes neurais artificiais / A distributed neural network simulator
Este trabalho analisa o uso de redes de estações de trabalho como uma única máquina a ser utilizada para permitir o processamento de problemas que não poderiam ser computados, aceitavelmente, em apenas um de seus nodos, seja por causa do tempo dispendido ou de recursos físicos necessários, como memória principal. São enfocados dois algoritmos de red
Publicado em: 2010
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3. Atividade multimodal no córtex sensorial primário de ratos.
O modelo de processamento sensorial mais aceito atualmente afirma que os sentidos são processados em paralelo, e que a atividade de córtices sensoriais específicos define a modalidade sensória percebida subjetivamente. Neste trabalho utilizamos registros eletrofisiológicos crônicos de múltiplos neurônios para investigar se neurônios nos córtices pr
Publicado em: 2010
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4. TRANFORMADA WAVELET E REDES NEURAIS ARTIFICIAIS NA ANÁLISE DE SINAIS RELACIONADOS À QUALIDADE DA ENERGIA ELÉTRICA / WAVELET TRANSFORM AND ARTIFICIAL NEURAL NETWORKS IN POWER QUALITY SIGNAL ANALYSIS
This work presents a different method for power quality signal classification using the principal components analysis (PCA) associated to the wavelet transform (WT). The standard deviation of the detail coefficients and the average of the approximation coefficients from WT are combined to extract discriminated characteristics from the disturbances. The PCA w
Publicado em: 2009
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5. Intelligent systems for welding process automation
This paper presents and evaluates the concept and implementation of two distinct multi-sensor systems for the automated manufacturing based on parallel hardware. In the most sophisticated implementation, 12 processors had been integrated in a parallel multi-sensor system. Some specialized nodes implement an Artificial Neural Network, used to improve photogra
Journal of the Brazilian Society of Mechanical Sciences and Engineering. Publicado em: 2006-03
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6. Neural networks counting chimes.
It is shown that the ideas that led to neural networks capable of recalling associatively and asynchronously temporal sequences of patterns can be extended to produce a neural network that automatically counts the cardinal number in a sequence of identical external stimuli. The network is explicitly constructed, analyzed, and simulated. Such a network may ac
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7. Neural networks engaged in milliseconds and seconds time processing: evidence from transcranial magnetic stimulation and patients with cortical or subcortical dysfunction
Here, we review recent transcranial magnetic stimulation studies and investigations in patients with neurological disease such as Parkinson's disease and stroke, showing that the neural processing of time requires the activity of wide range-distributed brain networks. The neural activity of the cerebellum seems most crucial when subjects are required to quic
The Royal Society.
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8. Different Spatial Scales of Shape Similarity Representation in Lateral and Ventral LOC
We investigated the relationship between stimulus similarity for a set of parameterized shapes and the spatial scale of neural representation within subregions of the lateral occipital complex (LOC) using a carryover functional magnetic resonance imaging design. In ventral but not lateral LOC, a linear recovery from adaptation proportional to shape dissimila
Oxford University Press.
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9. Neural Correlates of Person Recognition
Rapidly identifying known individuals is an essential skill in human society. To elucidate the neural basis of this skill, we monitored brain activity while experimental participants demonstrated their ability to recognize people on the basis of viewing their faces. Each participant first memorized the faces of 20 individuals who were not known to the pa
Cold Spring Harbor Laboratory Press.
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10. The role of feedback in shaping neural representations in cat visual cortex
In the primary visual cortex, neurons with similar response preferences are grouped into domains forming continuous maps of stimulus orientation and direction of movement. These properties are widely believed to result from the combination of ascending and lateral interactions in the visual system. We have tested this view by examining the influence of deact
National Academy of Sciences.
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11. Temporal Specificity of Perceptual Learning in an Auditory Discrimination Task
Although temporal processing is used in a wide range of sensory and motor tasks, there is little evidence as to whether a single centralized clock or a distributed system underlies timing in the range of tens to hundreds of milliseconds. We investigated this question by studying whether learning on an auditory interval discrimination task generalizes across
Cold Spring Harbor Laboratory Press.
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12. Cortical auditory signal processing in poor readers
Magnetoencephalographic responses recorded from auditory cortex evoked by brief and rapidly successive stimuli differed between adults with poor vs. good reading abilities in four important ways. First, the response amplitude evoked by short-duration acoustic stimuli was stronger in the post-stimulus time range of 150–200 ms in poor readers than in normal
The National Academy of Sciences.