Predictive Coding and the Slowness Principle: An Information-Theoretic Approach
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Publication:5460200
DOI10.1162/neco.2008.01-07-455zbMath1147.68625OpenAlexW2139048253WikidataQ40143327 ScholiaQ40143327MaRDI QIDQ5460200
Felix Creutzig, Henning Sprekeler
Publication date: 5 May 2008
Published in: Neural Computation (Search for Journal in Brave)
Full work available at URL: http://infoscience.epfl.ch/record/126436
Related Items (8)
Predictive rate-distortion for infinite-order Markov processes ⋮ Graph-based predictable feature analysis ⋮ Slowness as a Proxy for Temporal Predictability: An Empirical Comparison ⋮ Coherent infomax as a computational goal for neural systems ⋮ A Spiking Neuron as Information Bottleneck ⋮ Pursuit of food \textit{versus} pursuit of information in a Markovian perception-action loop model of foraging ⋮ A Theoretical Basis for Emergent Pattern Discrimination in Neural Systems Through Slow Feature Extraction ⋮ Prediction and dissipation in nonequilibrium molecular sensors: conditionally Markovian channels driven by memoryful environments
Cites Work
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- Simple-Cell-Like Receptive Fields Maximize Temporal Coherence in Natural Video
- Multivariate Information Bottleneck
- A Hierarchical Bayesian Model for Learning Nonlinear Statistical Regularities in Nonstationary Natural Signals
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