To obtain the curve for one layer, a total of 16 values were chosen non-uniformly between 0.001 and 100 for λ in that layer, while keeping λ = 1 in lower layers. (a) Relationship between F-ratio and lifetime sparseness in layers S5, C5, S6, and C6. (b) Relationship between the decoding accuracy of different acoustic parameters and lifetime sparseness in layer C6. SP, spectral peak. (c) PSI vectors of phonemes in C6 with λ = 0.01. The order of rows is the same as in Fig 5A. (d) PSI vectors of phonemes in C6 with λ = 1 (exactly the same as Fig 5A).</p
I have developed a sparse mathematical representation of speech that minimizes the number of active ...
In this paper the assumption of an equal, Gaussian distribution of the response to each stimulus in ...
Sparse and structured signal expansions on dictionaries (i.e. a collection of elementary wave-forms,...
The mean and standard deviation of decoding accuracies in 20-fold training and testing experiments a...
Note that S5 with kernel size 10×10 and S6 with kernel size 10×10 are layers in the original network...
<p>From three separate linear regression models that controlled for age, gender, race, and education...
<p>(A) Similarity between decoded responses to the clean sounds (), and the clean sounds' spectrogra...
Assessment of model performance on sparse datasets with different degrees of sparsity (1–10 of 11 fe...
The auditory pathway consists of multiple stages, from the cochlear nucleus to the auditory cortex. ...
<p>In Fig 2, the correct probability, P(C), as a function of ∆L in dB is shown for each of 9 partici...
<p>Complete and overcomplete sparse coding models trained on spectrograms of speech predict Inferior...
The auditory pathway consists of multiple stages, from the cochlear nucleus to the auditory cortex. ...
<p>Power spectral density of the frequency filter as a function of the input frequency, for various ...
(A) Violin plots showing the distribution of normalized slopes of the best regression fits to both t...
Sparseness variation in acoustic impulse response arises due to changes in temperature, pressure, ac...
I have developed a sparse mathematical representation of speech that minimizes the number of active ...
In this paper the assumption of an equal, Gaussian distribution of the response to each stimulus in ...
Sparse and structured signal expansions on dictionaries (i.e. a collection of elementary wave-forms,...
The mean and standard deviation of decoding accuracies in 20-fold training and testing experiments a...
Note that S5 with kernel size 10×10 and S6 with kernel size 10×10 are layers in the original network...
<p>From three separate linear regression models that controlled for age, gender, race, and education...
<p>(A) Similarity between decoded responses to the clean sounds (), and the clean sounds' spectrogra...
Assessment of model performance on sparse datasets with different degrees of sparsity (1–10 of 11 fe...
The auditory pathway consists of multiple stages, from the cochlear nucleus to the auditory cortex. ...
<p>In Fig 2, the correct probability, P(C), as a function of ∆L in dB is shown for each of 9 partici...
<p>Complete and overcomplete sparse coding models trained on spectrograms of speech predict Inferior...
The auditory pathway consists of multiple stages, from the cochlear nucleus to the auditory cortex. ...
<p>Power spectral density of the frequency filter as a function of the input frequency, for various ...
(A) Violin plots showing the distribution of normalized slopes of the best regression fits to both t...
Sparseness variation in acoustic impulse response arises due to changes in temperature, pressure, ac...
I have developed a sparse mathematical representation of speech that minimizes the number of active ...
In this paper the assumption of an equal, Gaussian distribution of the response to each stimulus in ...
Sparse and structured signal expansions on dictionaries (i.e. a collection of elementary wave-forms,...