Associative anticipatory learning and control of the cerebellar cortex based on the spike-timing-dependent plasticity of the parallel fiber-Purkinje cell synapses
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Publication:6072432
DOI10.1016/j.neunet.2021.12.004zbMath1528.92008OpenAlexW4200122558WikidataQ114950255 ScholiaQ114950255MaRDI QIDQ6072432
Publication date: 13 October 2023
Published in: Neural Networks (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.neunet.2021.12.004
Cites Work
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- A hierarchical neural-network model for control and learning of voluntary movement
- Stability of functional differential equations
- Balancing with reflex delay.
- Stability of feedback error learning scheme
- Multilayer feedforward networks are universal approximators
- A theory of cerebellar cortex and adaptive motor control based on two types of universal function approximation capability
- Differential equations: Stability, oscillations, time lags
- Forward models for physiological motor control
- Delay effects in the human sensory system during balancing
- Stability Robustness of Retarded LTI Systems with Single Delay and Exhaustive Determination of Their Imaginary Spectra
- A New Approach to Manipulator Control: The Cerebellar Model Articulation Controller (CMAC)
- The time-delayed inverted pendulum: Implications for human balance control
- Learning representations by back-propagating errors
- New Supervised Learning Theory Applied to Cerebellar Modeling for Suppression of Variability of Saccade End Points
- New Classes of Synchronous Codes
- Approximation by superpositions of a sigmoidal function