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1.
Neurology ; 64(2): 353-5, 2005 Jan 25.
Artigo em Inglês | MEDLINE | ID: mdl-15668440

RESUMO

Although not approved by the US Food and Drug Administration for the treatment of status epilepticus (SE), valproic acid (VPA) is an emerging option for this purpose. The authors reviewed 63 patients (30 men) with SE treated with IV VPA (average dose, 31.5 mg/kg). Analysis of demographic, clinical, and treatment information indicated an overall efficacy of 63.3% and favorable tolerance of rapid administration.


Assuntos
Anticonvulsivantes/uso terapêutico , Estado Epiléptico/tratamento farmacológico , Ácido Valproico/uso terapêutico , Anticonvulsivantes/administração & dosagem , Comorbidade , Esquema de Medicação , Avaliação de Medicamentos , Feminino , Humanos , Infusões Intravenosas , Masculino , Pessoa de Meia-Idade , Estudos Retrospectivos , Resultado do Tratamento , Ácido Valproico/administração & dosagem
2.
Proc Natl Acad Sci U S A ; 98(9): 5252-7, 2001 Apr 24.
Artigo em Inglês | MEDLINE | ID: mdl-11320255

RESUMO

Because the retinal activity generated by a moving object cannot specify which of an infinite number of possible physical displacements underlies the stimulus, its real-world cause is necessarily uncertain. How, then, do observers respond successfully to sequences of images whose provenance is ambiguous? Here we explore the hypothesis that the visual system solves this problem by a probabilistic strategy in which perceived motion is generated entirely according to the relative frequency of occurrence of the physical sources of the stimulus. The merits of this concept were tested by comparing the directions and speeds of moving lines reported by subjects to the values determined by the probability distribution of all the possible physical displacements underlying the stimulus. The velocities reported by observers in a variety of stimulus contexts can be accounted for in this way.


Assuntos
Modelos Neurológicos , Movimento (Física) , Percepção Visual/fisiologia , Humanos , Probabilidade , Retina/fisiologia
3.
Proc Natl Acad Sci U S A ; 97(10): 5592-7, 2000 May 09.
Artigo em Inglês | MEDLINE | ID: mdl-10805814

RESUMO

Although it has long been apparent that observers tend to overestimate the magnitude of acute angles and underestimate obtuse ones, there is no consensus about why such distortions are seen. Geometrical modeling combined with psychophysical testing of human subjects indicates that these misperceptions are the result of an empirical strategy that resolves the inherent ambiguity of angular stimuli by generating percepts of the past significance of the stimulus rather than the geometry of its retinal projection.


Assuntos
Percepção de Forma/fisiologia , Matemática , Percepção/fisiologia , Retina/fisiologia , Feminino , Humanos , Funções Verossimilhança , Masculino , Estimulação Luminosa
4.
J Neurosci ; 19(19): 8542-51, 1999 Oct 01.
Artigo em Inglês | MEDLINE | ID: mdl-10493754

RESUMO

A long-standing puzzle in vision is the assignment of illusory brightness values to visual territories based on the characteristics of their edges (the Craik-O'Brien-Cornsweet effect). Here we show that the perception of the equiluminant territories flanking the Cornsweet edge varies according to whether these regions are more likely to be similarly illuminated surfaces having the same material properties or unequally illuminated surfaces with different properties. Thus, if the likelihood is increased that these territories are surfaces with similar reflectance properties under the same illuminant, the Craik-O'Brien-Cornsweet effect is diminished; conversely, if the likelihood is increased that the adjoining territories are differently reflective surfaces receiving different amounts of illumination, the effect is enhanced. These findings indicate that the Craik-O'Brien-Cornsweet effect is determined by the relative probabilities of the possible sources of the luminance profiles in the stimulus.


Assuntos
Simulação por Computador , Sensibilidades de Contraste/fisiologia , Modelos Neurológicos , Ilusões Ópticas/fisiologia , Reconhecimento Visual de Modelos , Gráficos por Computador , Percepção de Profundidade/fisiologia , Humanos , Luz , Probabilidade
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