Although there is a growing interest in the application of fractal analysis in neurobiology, questions about the methodology have restricted its wider application. In this report we discuss some of the underlying principles for fractal analysis. we propose the cumulative-mass method as a standard method and we extend the applicability of fractal analysis to both 2 and 3 dimensions. We have examined the relationship between the method of log-log Sholl analysis and fractal analysis and have found that they correlate well. Measurements of physiologically characterized retinal ganglion cells indicate that different cell types can have significantly different fractal dimensions. Such differences may allow the correlation of the physiological typ...
[[abstract]]©1991 SPIE - Fractal dimension is a measure of complexity of a fractal object. Its appli...
Background and objective: For more than 20 years, Higuchi's fractal dimension (HFD), as a nonlinear ...
International audienceIn this work the fractal architecture of the neuron axonal topography of the h...
Methods derived from fractal geometry can be used in many areas of neurobiology. For example, fracta...
Fractal analysis has become a popular method in all branches of scientific investigation including e...
A variant of the cumulative mass method is developed for measuring the multi-fractal dimension spect...
Over the last decades, fractal analysis has been applied to the study of the spatial and temporal co...
The natural complexity of the brain, its hierarchical structure, and the sophisticated topological a...
Over the last years, fractals have entered into the realms of clinical neurosciences. The whole brai...
The introduction of fractal geometry in the neurosciences has been a major paradigm shift over the l...
Automated image processing aids in classification of biological images. Many natural structures such...
Significant contribution to understanding of complex biological systems emerged from application of ...
Reviews the most intriguing applications of fractal analysis in neuroscience with a focus on current...
Several natural phenomena can be described by studying their statistical scaling patterns, hence lea...
BACKGROUND AND OBJECTIVE For more than 20 years, Higuchi's fractal dimension (HFD), as a nonlinear m...
[[abstract]]©1991 SPIE - Fractal dimension is a measure of complexity of a fractal object. Its appli...
Background and objective: For more than 20 years, Higuchi's fractal dimension (HFD), as a nonlinear ...
International audienceIn this work the fractal architecture of the neuron axonal topography of the h...
Methods derived from fractal geometry can be used in many areas of neurobiology. For example, fracta...
Fractal analysis has become a popular method in all branches of scientific investigation including e...
A variant of the cumulative mass method is developed for measuring the multi-fractal dimension spect...
Over the last decades, fractal analysis has been applied to the study of the spatial and temporal co...
The natural complexity of the brain, its hierarchical structure, and the sophisticated topological a...
Over the last years, fractals have entered into the realms of clinical neurosciences. The whole brai...
The introduction of fractal geometry in the neurosciences has been a major paradigm shift over the l...
Automated image processing aids in classification of biological images. Many natural structures such...
Significant contribution to understanding of complex biological systems emerged from application of ...
Reviews the most intriguing applications of fractal analysis in neuroscience with a focus on current...
Several natural phenomena can be described by studying their statistical scaling patterns, hence lea...
BACKGROUND AND OBJECTIVE For more than 20 years, Higuchi's fractal dimension (HFD), as a nonlinear m...
[[abstract]]©1991 SPIE - Fractal dimension is a measure of complexity of a fractal object. Its appli...
Background and objective: For more than 20 years, Higuchi's fractal dimension (HFD), as a nonlinear ...
International audienceIn this work the fractal architecture of the neuron axonal topography of the h...