Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Ralph Linsker"'
Publikováno v:
ACM Transactions on Reconfigurable Technology and Systems. 7:1-23
Artificial neural networks (ANNs) are a natural target for hardware acceleration by FPGAs and GPGPUs because commercial-scale applications can require days to weeks to train using CPUs, and the algorithms are highly parallelizable. Previous work on F
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0d19646a5d4ecf3d5a3787907716215a
https://doi.org/10.1145/2539125
https://doi.org/10.1145/2539125
Publikováno v:
Physica A: Statistical Mechanics and its Applications. 357:593-612
An important property of networked systems is their robustness against removal of network nodes, through either random node failure or targeted attack. Although design methods have been proposed for creating, ab initio, a network that has optimal rob
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::00a6281e73b40edf4d7896f8d7b8764f
https://doi.org/10.1016/j.physa.2005.03.040
https://doi.org/10.1016/j.physa.2005.03.040
Autor:
Ralph Linsker
Publikováno v:
Neural Computation. 9:1661-1665
This note presents a local learning rule that enables a network to maximize the mutual information between input and output vectors. The network's output units may be nonlinear, and the distribution of input vectors is arbitrary. The local algorithm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c5cd9bcbe03656359ea60674e873f1e2
https://doi.org/10.1162/neco.1997.9.8.1661
https://doi.org/10.1162/neco.1997.9.8.1661
Autor:
Ralph Linsker
Publikováno v:
Neural Computation. 4:691-702
A network that develops to maximize the mutual information between its output and the signal portion of its input (which is admixed with noise) is useful for extracting salient input features, and may provide a model for aspects of biological neural
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5dbd72a48d930ab62eb97d51fb9d9642
https://doi.org/10.1162/neco.1992.4.5.691
https://doi.org/10.1162/neco.1992.4.5.691
Autor:
Ralph Linsker
Publikováno v:
IJCNN
This paper shows how to implement Kalman estimation (including filtering and prediction) and control, and system identification, within a neural network (NN) whose only input is a stream of noisy measurement data. The operation of the fully-integrate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ca76f938a0a21b871c2342a738fd3c1b
https://doi.org/10.1109/ijcnn.2009.5178934
https://doi.org/10.1109/ijcnn.2009.5178934
Autor:
Ralph Linsker
Although there are many neural network (NN) algorithms for prediction and for control, and although methods for optimal estimation (including filtering and prediction) and for optimal control in linear systems were provided by Kalman in 1960 (with no
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::348388ecb30fdd0c4fea4d83db5fbe78
http://arxiv.org/abs/0805.4247
http://arxiv.org/abs/0805.4247
Autor:
Ralph Linsker
Publikováno v:
Annual Review of Neuroscience. 13:257-281
Article de synthese a propos de la modelisation de l'information et de l'expression des lois regissant les interactions entre les neurones sous formes d'algorithmes afin de comprendre l'organisation nerveuse depuis le niveau subcellulaire jusqu'au ni
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2ec601d5388752feb684c337aba50906
https://doi.org/10.1146/annurev.ne.13.030190.001353
https://doi.org/10.1146/annurev.ne.13.030190.001353
Autor:
Ralph Linsker, Geoffrey Grinstein
We show that (1) an error invalidates the derivation (Dewar 2005 J. Phys. A: Math. Gen. 38 L371) of the maximum entropy production (MaxEP) principle for systems far from equilibrium, for which the constitutive relations are nonlinear; and (2) the cla
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0c7244e459b2840f54864b8bd0f53366
https://zenodo.org/record/889780
https://zenodo.org/record/889780
Autor:
Geoffrey Grinstein, Ralph Linsker
Synchronous firing peaks at levels greatly exceeding background activity have recently been reported in neocortical tissue. A small subset of neurons is dominant in a large fraction of the peaks. To investigate whether this striking behavior can emer
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::48119b31fae4f52a073a34866f15ccfb
https://europepmc.org/articles/PMC1175007/
https://europepmc.org/articles/PMC1175007/
Autor:
Ralph Linsker
Publikováno v:
From Statistical Physics to Statistical Inference and Back ISBN: 9789401044653
Biological sensory processing systems are exquisitely complex and varied. Nonetheless, optimization principles and methods rooted in information theory can be used to understand and to make predictions concerning certain aspects of sensory processing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::04e7cebb2f425d08f7a392e0497b50ce
https://doi.org/10.1007/978-94-011-1068-6_15
https://doi.org/10.1007/978-94-011-1068-6_15