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IEEEICCI
2007
IEEE
14 years 2 months ago
An Image Association Model of the Brodmann Areas
The ability to associate images is the basis for learning relationships involving vision, hearing, tactile sensation, and kinetic motion. A new architecture is described that has ...
Douglas S. Greer
NN
2004
Springer
102views Neural Networks» more  NN 2004»
14 years 1 months ago
A Quantitative Evaluation of a Bio-inspired Sound Segregation Technique for Two- and Three-Source Mixtures
A sound source separation technique based on a bio-inspired neural network, capable of functioning in more than two-source mixtures, is proposed. Separation results are compared wi...
Ramin Pichevar, Jean Rouat
NECO
2007
258views more  NECO 2007»
13 years 7 months ago
Reinforcement Learning Through Modulation of Spike-Timing-Dependent Synaptic Plasticity
The persistent modification of synaptic efficacy as a function of the relative timing of pre- and postsynaptic spikes is a phenomenon known as spiketiming-dependent plasticity (...
Razvan V. Florian
ICDAR
2007
IEEE
13 years 11 months ago
On Computing Strength of Evidence for Writer Verification
The problem of Writer Verification is to make a decision of whether or not two handwritten documents are written by the same person. Providing a strength of evidence for any such ...
Harish Srinivasan, S. Kabra, Chen Huang, Sargur N....
ECCV
2008
Springer
14 years 9 months ago
Automated Delineation of Dendritic Networks in Noisy Image Stacks
We present a novel approach to 3D delineation of dendritic networks in noisy image stacks. We achieve a level of automation beyond that of stateof-the-art systems, which model dend...
Germán González, François Fle...