Reliability and information transmission in spiking neurons.
Abstract
Spiking neurons encode continuous, time-varying signals in sequences of identical action potentials. Relatively simple algorithms allow one to 'decode' this neural representation of sensory data to estimate the input signals. Decoding experiments provide a quantitative characterization of information transmission and computational reliability under real-time conditions. The results of these studies show that neural coding and computation in several systems approach fundamental physical and informational theoretic limits to performance.
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Several neuronal noise sources influence the reliability and precision of neuronal signaling, so stimulus-response functions are sometimes unreliable and are dissociated from what is being encoded via spike activity.
“However, several neuronal noise sources influence the reliability and precision of neuronal signaling, so stimulus-response functions are sometimes unreliable and are dissociated from what is being encoded via spike activity”
From Human Brain/Cloud Interface (2019) · cites this paper as Bialek and Rieke, 1992
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- Authors
- Bialek, W., & Rieke, F.
- Venue
- Trends in Neurosciences
- Publisher
- Elsevier BV
- Published
- 1992-11
- Volume
- 15
- Issue
- 11
- Pages
- 428-434
- ISSN
- 0166-2236 (ISSN-L)
- OpenAlex
- W2073879651
- Cited by
- 200
- References
- 0
- Citations by year
- 2026: 1 · 2025: 5 · 2024: 8 · 2023: 4 · 2022: 2 · 2021: 3 · 2020: 20 · 2019: 5 · 2018: 2 · 2017: 4 · 2016: 1 · 2015: 1 · 2014: 1 · 2013: 6 · 2012: 4
- FWCI
- 1.58
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Trends in Neurosciences (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › stochastic dynamics and bifurcation
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Keywords
- spiking neurons, neural coding, information transmission, decoding, computational reliability, action potential, information-theoretic limits
- MeSH terms
- Action Potentials, Algorithms, Animals, Models, Neurological, Synaptic Transmission, Neurons, Neurons, Afferent
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