Difficulty of Singularity in Population Coding
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Publication:5706664
DOI10.1162/0899766053429426zbMath1079.62007OpenAlexW2036487039WikidataQ48930345 ScholiaQ48930345MaRDI QIDQ5706664
Hiroyuki Nakahara, Shun-ichi Amari
Publication date: 21 November 2005
Published in: Neural Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1162/0899766053429426
Applications of statistics to biology and medical sciences; meta analysis (62P10) Foundations and philosophical topics in statistics (62A01) Neural biology (92C20) Statistical aspects of information-theoretic topics (62B10)
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Effect of spontaneous activity on stimulus detection in a simple neuronal model ⋮ Optimum signal in a diffusion leaky integrate-and-fire neuronal model ⋮ Decoding spike train ensembles: tracking a moving stimulus ⋮ Presynaptic Spontaneous Activity Enhances the Accuracy of Latency Coding ⋮ Information-Theoretic Bounds and Approximations in Neural Population Coding ⋮ Unconscious Biases in Neural Populations Coding Multiple Stimuli ⋮ Dynamics of Learning Near Singularities in Layered Networks
Cites Work
- Dynamics of pattern formation in lateral-inhibition type neural fields
- Asymptotics for likelihood ratio tests under loss of identifiability
- Likelihood ratio of unidentifiable models and multilayer neural networks
- On density estimation under relative entropy loss criterion
- Asymptotic behaviors of population codes
- Information processing in a neuron ensemble with the multiplicative correlation structure
- Population Coding with Correlation and an Unfaithful Model
- Algebraic Analysis for Nonidentifiable Learning Machines
- Attention Modulation of Neural Tuning Through Peak and Base Rate
- Information-theoretic asymptotics of Bayes methods
- On asymptotic properties of predictive distributions
- Testing in locally conic models, and application to mixture models
- Synchronous Firing and Higher-Order Interactions in Neuron Pool
- Doubly Distributional Population Codes: Simultaneous Representation of Uncertainty and Multiplicity
- Population Coding and Decoding in a Neural Field: A Computational Study
- Sequential Bayesian Decoding with a Population of Neurons
- Tubes and Spheres in n-Spaces, and a Class of Statistical Problems
- On the Volume of Tubes
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