Not only the issue of the dissociation between signal and noise, but also the issue of the possible contributions of noise in the brain information processing has long been a matter of interest. Recently, Harris and Wolpert (Nature, 394:780-784, 1998) proposed a significant new perspective on...

Assuming adaptation of the visual cortex to its environment, we analyse the invariance structure found in natural images to explain the selective response of neurons to different modalities.We argue that the invariant structure of images can be formally expressed by dot-product kernels. After...

We report on the novel use of the existing growth grammar interpreter GROGRA for neuroanatomical simulations of pyramidal cells, interneurons and purkinje cells. Growth parameters for these cell types result from analyzing web-based cell reconstructions by means of a custom made Matlab-program...

Spinal CPG of lamprey is modeled using chains of nonlinear oscillators. Each oscillator represents a small neuron population capable of bursting under mixed NMDA and AMPA drive. Parameters of the oscillator are derived from detailed conductance-based neuron models. Analysis and simulations of...

Using a three-dimensional mesh from T1-weighted MRI of human brain, we propose construction of geometric structures that are needed in computational neuroanatomy, such as identification of anatomical landmarks. Further, registration of neuronal signals recorded during brain information...

The main contribution of this research is two-fold: (a) we provide a rigorous substitute for the intuitive regularity observed in visual perception, by appealing to information geometry; and, (b) we provide a set of algorithms for estimating measures of curvilinear invariants of data space...

While vision science has made great strives in a multitude of directions, little is known about computational models of infant vision. Upon birth, brains contain all necessary neurons but lack many connections. Within a few months after birth, infants can easily recognize familiar faces and...

Studies of orientation maps in primary visual cortex (V1) suggest that lateral connections mediate competition and cooperation between orientation-selective units, but their role in motion perception has not been established. Using a self-organizing model of V1 with moving oriented patterns, we...

The perceptual space is a medium in which perceptual geometry of natural surfaces, curves and objects is learned. Our paper provides evidence from neurobiology of memory and learning together with statistical learning theory for a theory of perceptual geometry of space and form based on the...

Working with massive fMRI data is difficult because of the poor signal to noise ratio in the data, lack of a statistical distribution for the uncontaminated data, and not having a robust statistical model for the noise. Bayesian methods have the advantage that they make our simplifying...