Ralph Linsker - researchr alias

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Viewing Publication 1 - 13 from 13

2014

A Fully Pipelined FPGA Architecture of a Factored Restricted Boltzmann Machine Artificial Neural NetworkLok-Won Kim, Sameh Asaad, Ralph Linsker. trets, 7(1):5, 2014. [doi]

2009

Neural learning of Kalman filtering, Kalman control, and system identificationRalph Linsker. ijcnn 2009: 1835-1842 [doi]

2008

Neural network learning of optimal Kalman prediction and controlRalph Linsker. NN, 21(9):1328-1343, 2008. [doi]

2005

Improved local learning rule for information maximization and related applicationsRalph Linsker. NN, 18(3):261-265, 2005. [doi]

2004

Improving Network RobustnessAlina Beygelzimer, Geoffrey Grinstein, Ralph Linsker, Irina Rish. icac 2004: 322-323 [doi]

1997

A Local Learning Rule That Enables Information Maximization for Arbitrary Input DistributionsRalph Linsker. neco, 9(8):1661-1665, 1997. [doi]

1992

Deriving Receptive Fields Using an Optimal Encoding CriterionRalph Linsker. nips 1993: 953-960 [doi]

Local Synaptic Learning Rules Suffice to Maximize Mutual Information in a Linear NetworkRalph Linsker. neco, 4(5):691-702, 1992. [doi]

1989

How to Generate Ordered Maps by Maximizing the Mutual Information between Input and Output SignalsRalph Linsker. neco, 1(3):402-411, 1989. [doi]

1988

Self-Organization in a Perceptual NetworkRalph Linsker. Computer, 21(3):105-117, 1988.

An Application of the Principle of Maximum Information Preservation to Linear SystemsRalph Linsker. nips 1989: 186-194 [doi]

1987

Towards an Organizing Principle for a Layered Perceptual NetworkRalph Linsker. nips 1988: 485-494 [doi]

1984

An Iterative-Improvement Penalty-Function-Driven Wire Routing SystemRalph Linsker. ibmrd, 28(5):613-624, 1984.

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