Bits and brains: Information flow in the nervous system
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The information capacity of the human ear falls between that of vision and haptic perception.
“while the information capacity of the human ear falls between these two estimates (Bialek et al., 1993; Dudel, 1986; Proulx et al., 2016; Wurtz & Kandel, 2000).”
From Designing sensory-substitution devices: Principles, pitfalls and potential1 (2016) · cites this paper as Bialek et al., 1993
Cites
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Science and information theory
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Neuronal responses to static texture patterns in area V1 of the alert macaque monkey
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A Simple Coding Procedure Enhances a Neuron's Information Capacity
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Self-citationCould information theory provide an ecological theory of sensory processing?
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The limiting information capacity of a neuronal link
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PHYSICAL LIMITS TO SENSATION AND PERCEPTION
Bialek, W. (1987) · Annual Review of Biophysics and Biophysical Chemistry · doi:10.1146/annurev.bb.16.060187.002323 · Cited by 237 · see citing works
Self-citationThe Information Capacity of Nerve Cells Using a Frequency Code
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A model for the economical encoding of the visual image in cerebral cortex
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An Application of the Principle of Maximum Information Preservation to Linear Systems
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Coding Efficiency and Information Rates in Sensory Neurons
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Self-citationCoding and computation with neural spike trains
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Self-citationPRINCETON LECTURES ON BIOPHYSICS
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Self-citationOptimal Sampling of Natural Images: A Design Principle for the Visual System
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Designing sensory-substitution devices: Principles, pitfalls and potential1
Kristjánsson, Á., Moldoveanu, A., Jóhannesson, Ó. I., Balan, O., Spagnol, S., Valgeirsdóttir, V. V., & Unnthorsson, R. (2016) · Restorative Neurology and Neuroscience · doi:10.3233/rnn-160647 · Cited by 116 · see citing works
“Investigations of the capacity of the visual system reveal that it has four orders of magnitude greater bandwidth than haptic perception (Kokjer, 1987; Schmidt, 1981) while the information capacity of the human ear falls between these two estimates (Bialek et al., 1993; Dudel, 1986; Proulx et al., 2016; Wurtz & Kandel…”
BackgroundMartins, N. R. B., Angelica, A., Chakravarthy, K., Svidinenko, Y., Boehm, F. J., Opris, I., Lebedev, M. A., Swan, M., Garan, S. A., Rosenfeld, J. V., et al. (2019) · Frontiers in Neuroscience · doi:10.3389/fnins.2019.00112 · Cited by 91 · see citing works
- Authors
- Bialek, W., DeWeese, M., Rieke, F., & Warland, D.
- Affiliations
- Princeton University (US)
- University of Chicago (US)
- Harvard University (US)
- Venue
- Physica A Statistical Mechanics and its Applications
- Publisher
- Elsevier BV
- Published
- 1993-11
- Volume
- 200
- Issue
- 1-4
- Pages
- 581-593
- ISSN
- 0378-4371 (ISSN-L)
- OpenAlex
- W2084389510
- Cited by
- 57
- References
- 22
- Citations by year
- 2026: 2 · 2025: 1 · 2024: 2 · 2022: 1 · 2021: 1 · 2020: 1 · 2019: 1 · 2018: 2 · 2017: 1 · 2016: 2 · 2015: 1 · 2014: 2 · 2013: 1 · 2012: 1
- FWCI
- 1.80
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Physica A Statistical Mechanics and its Applications (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Advanced Thermodynamics and Statistical Mechanics
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › stochastic dynamics and bifurcation
- Keywords
- information transfer rate, neural coding, spike trains, entropy (information theory)
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