Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Norman Redlich"'
Publikováno v:
Network (Bristol, England). 7(1)
Humans perceive shape rapidly and effortlessly but have great difficulties describing what they perceive. This suggests that the representation of shape in the brain is abstract and very unlike that used in conscious thought. Here we explore the prop
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::056448ba82fc10606577f1d1ff7c1deb
https://pubmed.ncbi.nlm.nih.gov/29480143
https://pubmed.ncbi.nlm.nih.gov/29480143
Autor:
A. Norman Redlich
Publikováno v:
Neural Computation. 5:750-766
Factorial learning, finding a statistically independent representation of a sensory “image”—a factorial code—is applied here to solve multilayer supervised learning problems that have traditionally required backpropagation. This lends support
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::110ffe6f1a6b885af1ed027c284b9d03
https://doi.org/10.1162/neco.1993.5.5.750
https://doi.org/10.1162/neco.1993.5.5.750
Autor:
A. Norman Redlich
Publikováno v:
Neural Computation. 5:289-304
A redundancy reduction strategy, which can be applied in stages, is proposed as a way to learn as efficiently as possible the statistical properties of an ensemble of sensory messages. The method works best for inputs consisting of strongly correlate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fb6da40b521add2a1b2f2ba23d5fd415
https://doi.org/10.1162/neco.1993.5.2.289
https://doi.org/10.1162/neco.1993.5.2.289
Autor:
A. Norman Redlich, Joseph J. Atick
Publikováno v:
Neural Computation. 5:45-60
An unsupervised developmental algorithm for linear maps is derived which reduces the pixel-entropy (using the measure introduced in previous work) at every update and thus removes pairwise correlations between pixels. Since the measure of pixel-entro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::55e2599dc847b06a5e18e3c0063a38be
https://doi.org/10.1162/neco.1993.5.1.45
https://doi.org/10.1162/neco.1993.5.1.45
Autor:
Nelson Bowman Sweitzer, Barbara Allen Babcock, Orin B. Evans, Judith Resnik, Robert C. Post, Marie B. Sweitzer, Frank I. Michelman, Ernest W. McFarland, Steven H. Shiffrin, Sylvia A. Law, Dean Emeritus, Christopher F. Edley, Norman Redlich, Thomas C. Grey
Publikováno v:
The Black Scholar. 22:138-143
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d049384d89850ee9423353639e924a13
https://doi.org/10.1080/00064246.1992.11413030
https://doi.org/10.1080/00064246.1992.11413030
Publikováno v:
Neural computation
A previously proposed theory of visual processing, based on redundancy reduction, is used to derive the retinal transfer function including color. The predicted kernels show the nontrivial mixing of space-time with color coding observed in experiment
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0f7bb22204dbe5f697ac97a65f003854
https://doi.org/10.1162/neco.1992.4.4.559
https://doi.org/10.1162/neco.1992.4.4.559
Autor:
Joseph J. Atick, A. Norman Redlich
Publikováno v:
Neural Computation. 4:196-210
By examining the experimental data on the statistical properties of natural scenes together with (retinal) contrast sensitivity data, we arrive at a first principle, theoretical hypothesis for the purpose of retinal processing and its relationship to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9cf1b1ee10d9f78145b687e8a7d1c3cf
https://doi.org/10.1162/neco.1992.4.2.196
https://doi.org/10.1162/neco.1992.4.2.196
Autor:
A. Norman Redlich, Joseph J. Atick
Publikováno v:
International Journal of Neural Systems. :305-315
Barlow's redundancy reduction hypothesis is applied using techniques developed from signal processing theory to derive the one-dimensional ganglion and simple cell kernels. The resulting closed-form expression for the ganglion cell kernel reduces red
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e598854295367b5122577fb8c6e14d02
https://doi.org/10.1142/s0129065791000340
https://doi.org/10.1142/s0129065791000340
Autor:
Joseph J. Atick, A. Norman Redlich
Publikováno v:
Neural Computation. 2:308-320
We propose a theory of the early processing in the mammalian visual pathway. The theory is formulated in the language of information theory and hypothesizes that the goal of this processing is to recode in order to reduce a “generalized redundancy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::35839e64181f379f424d119c55b6e296
https://doi.org/10.1162/neco.1990.2.3.308
https://doi.org/10.1162/neco.1990.2.3.308
Publikováno v:
Neural computation. 8(6)
The human visual system is proficient in perceiving three-dimensional shape from the shading patterns in a two-dimensional image. How it does this is not well understood and continues to be a question of fundamental and practical interest. In this pa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5025ef8c96bb733e310c9985aa5cbf9e
https://pubmed.ncbi.nlm.nih.gov/8768397
https://pubmed.ncbi.nlm.nih.gov/8768397