NIPS
2001
13 years 11 months ago
2001
A new class of Support Vector Machine (SVM) that is applicable to sequential-pattern recognition such as speech recognition is developed by incorporating an idea of non-linear tim...
NIPS
2001
13 years 11 months ago
2001
Population codes often rely on the tuning of the mean responses to the stimulus parameters. However, this information can be greatly suppressed by long range correlations. Here we...
NIPS
2001
13 years 11 months ago
2001
We have designed and fabricated a VLSI synapse that can learn a conditional probability or correlation between spike-based inputs and feedback signals. The synapse is low power, c...
NIPS
2001
13 years 11 months ago
2001
NIPS
2001
13 years 11 months ago
2001
We propose the framework of mutual information kernels for learning covariance kernels, as used in Support Vector machines and Gaussian process classifiers, from unlabeled task da...
NIPS
2001
13 years 11 months ago
2001
NIPS
2001
13 years 11 months ago
2001
Neural activity appears to be a crucial component for shaping the receptive fields of cortical simple cells into adjacent, oriented subregions alternately receiving ON- and OFF-ce...
NIPS
2001
13 years 11 months ago
2001
High dimensional data that lies on or near a low dimensional manifold can be described by a collection of local linear models. Such a description, however, does not provide a glob...
NIPS
2001
13 years 11 months ago
2001
A key question in neuroscience is how to encode sensory stimuli such as images and sounds. Motivated by studies of response properties of neurons in the early cortical areas, we p...
NIPS
2001
13 years 11 months ago
2001
If the promise of computational modeling is to be fully realized in higherlevel cognitive domains such as language processing, principled methods must be developed to construct th...