Self-organization in a perceptual network
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- Type
- article
- Published
- 1988-03-01
- Cited by
- 1,668
- References
- 16
- OpenAlex
- https://openalex.org/W2122925692
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:1527671
Keywords
Computer science, Simple (philosophy), Representation (politics), Artificial intelligence, Set (abstract data type)
References
- Self-organization and associative memory: 3rd edition
- From basic network principles to neural architecture
- An Introduction To Optimal Estimation
- Ferrier lecture - Functional architecture of macaque monkey visual cortex
- Brain mechanisms of vision.
- Towards an Organizing Principle for a Layered Perceptual Network
- Neural networks and physical systems with emergent collective computational abilities.
- From basic network principles to neural architecture: emergence of spatial-opponent cells.
- Simplified neuron model as a principal component analyzer
- What is projection pursuit
- From basic network principles to neural architecture (series)
- The organization of behavior.
- Adaptive Signal Processing
- Projection Pursuit
- Functional architecture of macaque monkey visual cortex
- Computer simulation in brain science: Development of feature-analyzing cells and their columnar organization in a layered self-adaptive network
Cited by
- Principal components, minor components, and linear neural networks
- Functional Connectivity: The Principal-Component Analysis of Large (PET) Data Sets
- Differential learning algorithms for decorrelation and independent component analysis
- Representation and generalization properties of class-entropy networks
- Keep Your Options Open: An Information-Based Driving Principle for Sensorimotor Systems
- Category theory for scientists (Old version)
- Effects of Multiplicative Power Law Neural Noise in Visual Information Processing
- Modeling learned categorical perception in human vision
- Nonlinearities and Adaptation of Color Vision from Sequential Principal Curves Analysis
- A mathematical approach to unsupervised learning in recurrent neural networks. (Une approche mathématique de l'apprentissage non-supervisé dans les réseaux de neurones récurrents)
- An information-theoretic approach to feature extraction in competitive learning
- Optimal Information Transmission by Overlapping Retinal Cell Mosaics
- Energy, entropy and information potential for neural computation
- Information theoretic models of social interaction
- Load Forecasting on Special Days
- Quantitative analysis of retinal function in early stages of retinal degeneration in the rd1 mouse
- Appearance based object recognition using independent component analysis
- Formalisme pragmatiste pour le développement de schèmes cognitifs en robotique autonome. (Pragmatist formalism for the development of cognitive schemes in autonomous robotic)
- Mutual information maximization: models of cortical self-organization.
- Medical Image Enhancement
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