Subject
- Computer Science 64
- Mathematics 64
- Biomedical Engineering 9
- Agriculture 3
- Mechanical Engineering 3
- Earth and Atmospheric Sciences 2
- Aeronautics and Astronautics Engineering 1
- Nuclear Engineering 1
- Physics 1
Creator
- Walter Gautschi, 0000-0001-9184-8899 64
- Pavlos Vlachos, 0000-0002-8040-9257 8
- Michael Markl 6
- Susanne Schnell 6
- Vitaliy Rayz 6
- Benjamin Dickerhoff 5
- David Saloner 5
- Melissa Brindise 5
- Sean Rothenberger, 0000-0003-1341-6147 5
- Qianlai Zhuang, 0000-0002-4536-9851 4
Type
Date
Total is 92 Results
Source code for Neural Encoding and Decoding with Deep Learning for Dynamic Natural Vision
10.4231/R7V98675
Haiguang Wen
,
Jiayue Cao
,
Junxing Shi
,
Kun-Han Lu
,
Yizhen Zhang
,
Zhongming Liu
09/25/2017
This document includes the main source code (Matlab or Python) related to our study.
Biomedical Engineering deep learning FMR1 LIBI Matlab natural vision neural decoding Neural encoding Neuroscience Python Code Source Code
32-digit values of the first 100 recurrence coefficients for the squared generalized Binet weight function with parameter 1/2
10.4231/R7V40SC7
10/23/2017
32-digit values of the first 100 recurrence coefficients for the weight function w(x)=log^2(1-a*exp(-|x|)) on [-Inf,Inf], a = 1/2
Binet weight function Computer Science Mathematics Matlab Modification algorithms for orthogonal polynomials Orthogonal polynomials Walter Gautschi Archives weight functions
32-digit values of the first 100 recurrence coefficients for the half-range generalized Binet weight function with parameter 1/2
10.4231/R7QC01NW
10/23/2017
32-digit values of the first 100 recurrence coefficients for the half-range generalized Binet weight function w(x)=-log(1-a*exp(-x)) on [0,Inf], a = 1/2
Binet weight function Computer Science Mathematics Matlab Modification algorithms for orthogonal polynomials Orthogonal polynomials Walter Gautschi Archives weight functions
32-digit values of the first 100 recurrence coefficients for the half-range squared Binet weight function
10.4231/R7KK98Z2
10/23/2017
32-digit values of the first 100 recurrence coefficients for the weight function w(x)=log^2(1-exp(-x)) on [0,Inf]
Binet weight function Computer Science Mathematics Matlab Modification algorithms for orthogonal polynomials Orthogonal polynomials Walter Gautschi Archives weight functions
32-digit values of the first 100 recurrence coefficients for the half-range squared generalized Binet weight function with parameter 1/2
10.4231/R7FT8J7R
10/23/2017
32-digit values of the first 100 recurrence coefficients for the weight function w(x)=log^2(1-a*exp(-x)) on [0,Inf], a = 1/2
Binet weight function Computer Science Mathematics Matlab Modification algorithms for orthogonal polynomials Orthogonal polynomials Walter Gautschi Archives weight functions
32-digit values of the first 100 recurrence coefficients for the Binet weight function
10.4231/R7PC30JZ
10/24/2017
32-digit values of the first 100 recurrence coefficients for the weight function w(x)=-log(1-exp(-|x|)) on [-Inf,Inf]
Binet weight function Computer Science Mathematics Matlab Modification algorithms for orthogonal polynomials Orthogonal polynomials Walter Gautschi Archives weight functions
32-digit values of the first 100 recurrence coefficients for the lower subrange Binet weight function on [0,c], c=1
10.4231/R7P84936
11/02/2017
32-digit values of the first 100 recurrence coefficients for the weight function w(x)=-log(1-exp(-x)) on [0,c], c=1
Binet-like weight functions Computer Science Mathematics Matlab Modification algorithms for orthogonal polynomials Orthogonal polynomials Walter Gautschi Archives weight functions
32-digit values of the first 100 recurrence coefficients for the upper subrange Binet weight function on [c,Inf], c=1
10.4231/R7CZ35CV
10/24/2017
32-digit values of the first 100 recurrence coefficients for the weight function w(x)=-log(1-exp(-x)) on [c,Inf], c=1
Binet-like weight functions Computer Science Mathematics Matlab Modification algorithms for orthogonal polynomials Orthogonal polynomials Walter Gautschi Archives weight functions
32-digit values of the first 100 recurrence coefficients for the lower symmetric subrange Binet weight function on [-c,c], c=1
10.4231/R7862DNF
10/24/2017
32-digit values of the first 100 recurrence coefficients for the weight function w(x)=-log(1-exp(-|x|)) on [-c,c], c=1
Binet weight function Computer Science Mathematics Matlab Modification algorithms for orthogonal polynomials Orthogonal polynomials Walter Gautschi Archives weight functions
Source code for Neural Encoding and Decoding with Deep Learning for Dynamic Natural Vision
10.4231/R7N58JJ3
Haiguang Wen
,
Jiayue Cao
,
Junxing Shi
,
Kun-Han Lu
,
Yizhen Zhang
,
Zhongming Liu
11/17/2017
This document includes the main source code (Matlab or Python) related to our study.
Biomedical Engineering deep learning FMR1 LIBI Matlab natural vision neural decoding Neural encoding Neuroscience Python Code Source Code
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