Eizaburo Doi

Eizaburo Doi
Advanced Telecommunications Research Institute | ATR · Neuroinformatics

Ph.D

About

27
Publications
2,375
Reads
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380
Citations
Citations since 2017
0 Research Items
144 Citations
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2017201820192020202120222023051015202530
2017201820192020202120222023051015202530
2017201820192020202120222023051015202530
Additional affiliations
January 2015 - March 2022
Howard Hughes Medical Institute
Position
  • Researcher
May 2012 - December 2014
Case Western Reserve University
Position
  • Senior Researcher
November 2011 - April 2012
Salk Institute for Biological Studies
Position
  • PostDoc Position

Publications

Publications (27)
Article
Full-text available
A fundamental task of a sensory system is to infer information about the environment. It has long been suggested that an important goal of the first stage of this process is to encode the raw sensory signal efficiently by reducing its redundancy in the neural representation. Some redundancy, however, would be expected because it can provide robustn...
Article
Full-text available
Sensory neurons have been hypothesized to efficiently encode signals from the natural environment subject to resource constraints. The predictions of this efficient coding hypothesis regarding the spatial filtering properties of the visual system have been found consistent with human perception, but they have not been compared directly with neural...
Article
Full-text available
Robust coding has been proposed as a solution to the problem of minimizing decoding error in the presence of neural noise. Many real-world problems, however, have degradation in the input signal, not just in neural representations. This generalized problem is more relevant to biological sensory coding where internal noise arises from limited neural...
Conference Paper
Early investigations of efficient coding with the linear-Gaussian model showed striking similarities to experimental data (Atick & Redlich, 1990; van Hateren, 1992). However, direct comparison with the retinal ganglion cell (RGC) receptive fields has been hampered by three limitations: (a) RGC receptive fields under photopic conditions should be wr...
Conference Paper
Efficient coding is a well-known principle for explaining early sensory transformations (Barlow, 1961). But even in the "classical" case of a linear neural population with Gaussian input and output noise, the optimal solution depends heavily on the choice of constraints that are imposed on the problem. These can include constraints on output capaci...
Conference Paper
Full-text available
Efficient coding has long been suggested as a fundamental principle underlying the structure and functional properties of sensory systems (Barlow, 1961), and the basic response properties of mammalian retinal ganglion cells (RGCs) appear to be consistent with this (Atick and Redlich, 1990; van Hateren, 1992). These earlier models, however, included...
Conference Paper
One fundamental goal of sensory systems is to transmit sensory information efficiently under the condition that both the input and the neural representation are noisy, and that the number of available neurons is limited. Previous results based on this idea provide a great deal of insight into the optimality of sensory coding, in particular with reg...
Article
Full-text available
We address the problem of robust coding in which the signal information should be preserved in spite of intrinsic noise in the representation. We present a theoretical analysis for 1- and 2-D cases and characterize the optimal linear encoder and decoder in the mean-squared error sense. Our analysis allows for an arbitrary number of coding units, th...
Article
Full-text available
To achieve color vision, the brain has to process signals of the cones in the retinal photoreceptor mosaic in a cone-type-specific way. We investigated the possibility that cone-type-specific wiring is an adaptation to the statistics of the cone signals. We analyzed estimates of cone responses to natural scenes and found that there is sufficient in...
Conference Paper
Full-text available
Efficient coding models predict that the optimal code for natural images is a population of oriented Gabor receptive fields. These results match response properties of neurons in primary visual cortex, but not those in the retina. Does the retina use an optimal code, and if so, what is it optimized for? Previous theories of retinal coding have assu...
Conference Paper
Full-text available
Biological sensory systems are faced with the problem of encoding a high-fidelity sensory signal with a population of noisy, low-fidelity neurons. This problem can be expressed in information theoretic terms as coding and transmitting a multi-dimensional, analog signal over a set of noisy channels. Previously, we have shown that robust, overcomplet...
Article
Full-text available
Natural images are not random; instead, they ex-hibit statistical regularities. Assuming that our vision is designed for tasks on natural images, computation in the visual system should be optimized for such regularities. Recent theoretical investigations along this line have provided many insights into the visual response properties in the early v...
Article
Full-text available
Neurons in the early stages of processing in the primate visual system efficiently encode natural scenes. In previous studies of the chromatic properties of natural images, the inputs were sampled on a regular array, with complete color information at every location. However, in the retina cone photoreceptors with different spectral sensitivities a...
Conference Paper
We describe the properties of whitening and indepen- dent component filters of appropriately simulated input to the visual nervous system in the spatio-chromatic do- main. This input simulates the output of a trichromatic cone mosaic to natural scenes, and in our model of the early visual system, this is firstly transformed by whiten- ing filters a...
Technical Report
In the natural visual environment, form and color seem to be statisically independent. It is therefore possible that the separation of form and color in the visual system is based on their statistical independence. In this study we generated a set of learning samples that is the response of cones in the cone-mosaic arrangement to the natural visual...

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