Dynamics and Computation of Continuous Attractors
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Publication:5460199
DOI10.1162/neco.2008.10-06-378zbMath1148.68450OpenAlexW2074540734WikidataQ48893484 ScholiaQ48893484MaRDI QIDQ5460199
Kosuke Hamaguchi, Si Wu, Shun-ichi Amari
Publication date: 5 May 2008
Published in: Neural Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1162/neco.2008.10-06-378
Related Items (9)
Neural Information Processing with Feedback Modulations ⋮ Associative pattern recognition through macro-molecular self-assembly ⋮ Nonequilibrium Statistical Mechanics of Continuous Attractors ⋮ Subdiffusive Dynamics of Bump Attractors: Mechanisms and Functional Roles ⋮ Spontaneous Motion on Two-Dimensional Continuous Attractors ⋮ Understanding Emergent Dynamics: Using a Collective Activity Coordinate of a Neural Network to Recognize Time-Varying Patterns ⋮ A Moving Bump in a Continuous Manifold: A Comprehensive Study of the Tracking Dynamics of Continuous Attractor Neural Networks ⋮ Integration of Additive Self-Motion Inputs in a General Bump Attractor Model ⋮ A dynamic neural field model of continuous input integration
Cites Work
- Dynamics of pattern formation in lateral-inhibition type neural fields
- Information processing in a neuron ensemble with the multiplicative correlation structure
- Population Coding with Correlation and an Unfaithful Model
- Population Coding and Decoding in a Neural Field: A Computational Study
- Existence and Wandering of Bumps in a Spiking Neural Network Model
- Neurons with graded response have collective computational properties like those of two-state neurons.
- Correlation and Independence in the Neural Code
- Analysis of Spike Statistics in Neuronal Systems with Continuous Attractors or Multiple, Discrete Attractor States
- Computing with Continuous Attractors: Stability and Online Aspects
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