Movement Generation with Circuits of Spiking Neurons

DOI10.1162/0899766054026684zbMath1071.92005OpenAlexW2137782470WikidataQ81876009 ScholiaQ81876009MaRDI QIDQ5696505

Prashant Joshi, Wolfgang Maass

Publication date: 18 October 2005

Published in: Neural Computation (Search for Journal in Brave)

Full work available at URL: https://authors.library.caltech.edu/40418/

Mathematics Subject Classification ID

Neural biology (92C20) Application models in control theory (93C95) Biomechanics (92C10)

Related Items (5)

From memory-based decisions to decision-based movements: A model of interval discrimination followed by action selection ⋮ Online reservoir adaptation by intrinsic plasticity for backpropagation-decorrelation and echo state learning ⋮ Dynamical Movement Primitives: Learning Attractor Models for Motor Behaviors ⋮ Spiking Neural Networks for Cortical Neuronal Spike Train Decoding ⋮ Connectivity, Dynamics, and Memory in Reservoir Computing with Binary and Analog Neurons

Cites Work

• On the computational power of circuits of spiking neurons
• Real-Time Computing Without Stable States: A New Framework for Neural Computation Based on Perturbations

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