Parallel networks that learn to pronounce English text
This paper describes NETtalk, a class of massively-parallel network systems that learn to convert English text to speech. The memory representations for pronunciations are learn...
Publications
5 shownDictionary Learning Algorithms for Sparse Representation
Algorithms for data-driven learning of domain-specific overcomplete dictionaries are developed to obtain maximum likelihood and maximum a posteriori dictionary estimates based o...
The predictive brain: temporal coincidence and temporal order in synaptic learning mechanisms.
Some forms of synaptic plasticity depend on the temporal coincidence of presynaptic activity and postsynaptic response. This requirement is consistent with the Hebbian, or corre...
An Information-Maximization Approach to Blind Separation and Blind Deconvolution
We derive a new self-organizing learning algorithm that maximizes the information transferred in a network of nonlinear units. The algorithm does not assume any knowledge of the...
Competitive Anti-Hebbian Learning of Invariants
Although the detection of invariant structure in a given set of input patterns is vital to many recognition tasks, connectionist learning rules tend to focus on directions of hi...
Frequent Co-Authors
Researcher Info
- h-index
- 5
- Publications
- 5
- Citations
- 11,670
- Institution
- Howard Hughes Medical Institute
External Links
Identifiers
- ORCID
- 0000-0002-0622-7391
Impact Metrics
h-index
5
h-index: Number of publications with at least h citations each.