Recent developments in the neuroengineering field and the widespread use of Micro Electrode Arrays (MEAs) for electrophysiological systems led to new investigation approaches in the study of large neuronal networks dynamics, both in in-vivo and in in-vitro conditions.In spite of these new...

Neurite outgrowth, the branching pattern of single neurons leading to the formation of distinct synapses, is a dominant factor in determining the future output of neural circuits - behavior. We investigate conjunct rules that govern neuronal arborization, specifically the local geometry of the...

This paper describes a bio-inspired preprocessing and coding system devised for producing optimal multielectrode stimulation at the cortical level, starting from image sequences, and working at video rates.The system is implemented as a hybrid platform with software and reconfigurable hardware....

Using psychophysics we investigated to what extent human face recognition relies on local information in parts (featural information) and on their spatial relations (configural information). This is particularly relevant for biologically motivated computer vision since recent approaches have...

We analyze the convergence properties of three spike-triggered data analysis techniques. All of our results are obtained in the setting of a (possibly multidimensional) linear-nonlinear (LN) cascade model for stimulus-driven neural activity. We start by giving exact rate of convergence results...

Os algoritmos para determinação de primalidade são importantes na obtenção de números primos muito grandes, usados na confecção de chaves privadas de encriptação. Atualmente dispõe-se de algoritmos probabilísticos que executam em tempo polinomial e acusam se um número é primo com...

We implemented a model of the auditory system incorporating the cochlea, the cochlear nucleus, the inferior colliculus and the primary auditory cortex. For the simulation of the cochlea gammaton filters are used. The other areas are simulated by neural networks consisting of leaky integrate and...

For humans, faces are highly overlearned stimuli, which are encountered in everyday life in all kinds of poses and views. Using psychophysics we investigated the effects of viewpoint on human face recognition. The experimental paradigm is modeled after the inter-extra-ortho experiment using...