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Titlebook: Brain, Vision, and Artificial Intelligence; First International Massimo Gregorio,Vito Maio,Carlo Musio Conference proceedings 2005 Springe

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Neural Code and Irregular Spike Trainsed in . experiments on pyramidal cortical neurons. In particular, the variation coefficient (CV) computed for the Inter-Spike-Intervals in our computational experiments is very close to the unity and quite similar to that experimentally observed. The bias toward the rate code hypothesis is reinforced by these results.
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Unsupervised Recognition of Neuronal Discharge Waveforms for On-line Real-Time Operation spanned by the first and second derivatives of the raw signal trace. The performance of the algorithm is tested against artificially generated noisy data sets. We present the main features of the algorithm aimed to on-line real-time operations.
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Neural Connectivity and Dynamical Regimes of Neural Activity in a Network of Interactive Populationsnections about 60% of neural populations work in the oscillatory regime and some of these oscillations are synchronous. We discuss the regime of partial synchronization in the context of the cortical microcircuit.
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Stimulus-Driven Unsupervised Synaptic Pruning in Large Neural Networksule associated with synaptic pruning. We show that the application, in presence of background noise, of a recurrent pattern of stimulation let appear cell assemblies characterized by an internal pattern of converging projections and a feed-forward topology not observed with an equivalent random stimulation.
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Photoelectric Response of Bacteriorhodopsin in Thin PVA Films and Its Modelhnology. We built optical elements based on bacteriorhodopsin and measured their spectral properties. Here we describe a model of photoelectric response of the elements and compare it to the experimentally measured values.
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Multi-modal Primitives as Functional Models of Hyper-columns and Their Use for Contextual Integratioti–modal stereo matching and to investigate the role of different visual modalities for stereo [11], and to use a combination of stereo and grouping as well as Rigid Body Motion to acquire reliable 3D information as demonstrated in this publication.
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Artiom Alhazov,Rudolf Freund,Sergiu Ivanov spanned by the first and second derivatives of the raw signal trace. The performance of the algorithm is tested against artificially generated noisy data sets. We present the main features of the algorithm aimed to on-line real-time operations.
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