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CISS
2011
IEEE
13 years 19 days ago
Hardware accelerated visual attention algorithm
— We present a hardware-accelerated implementation of a bottom-up visual attention algorithm. This algorithm generates a multi-scale saliency map from differences in image intens...
Polina Akselrod, Faye Zhao, Ifigeneia Derekli, Cl&...
ISCAS
2006
IEEE
112views Hardware» more  ISCAS 2006»
14 years 3 months ago
Silicon neurons that inhibit to synchronize
Abstract—We present a silicon neuron that uses shunting inhibition (conductance-based) with a synaptic rise-time to achieve synchrony. Synaptic rise-time promotes synchrony by de...
John V. Arthur, Kwabena Boahen
JCNS
2010
81views more  JCNS 2010»
13 years 7 months ago
Sensory information in local field potentials and spikes from visual and auditory cortices: time scales and frequency bands
Studies analyzing sensory cortical processing or trying to decode brain activity often rely on a combination of different electrophysiological signals, such as local field potentia...
Andrei Belitski, Stefano Panzeri, Cesare Magri, Ni...
JOCN
2010
104views more  JOCN 2010»
13 years 7 months ago
Spatial Attention Evokes Similar Activation Patterns for Visual and Auditory Stimuli
■ Neuroimaging studies suggest that a fronto-parietal network is activated when we expect visual information to appear at a specific spatial location. Here we examined whether a...
David V. Smith, Ben Davis, Kathy Niu, Eric W. Heal...
CVPR
2004
IEEE
14 years 11 months ago
Learning a Restricted Bayesian Network for Object Detection
Many classes of images have the characteristics of sparse structuring of statistical dependency and the presence of conditional independencies among various groups of variables. S...
Henry Schneiderman