Computer simulation of a model of habituation
By J. C. Stanley. 1976
How researchers see this paper
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- German Ignacio Parisi
- Stefan Wermter
- Jun Tani
- Cornelius Weber
- Luiza Mici
- Stephen R. Marsland
- Ulrich Nehmzow
- Jonathan L. Shapiro
Citations in the corpus
- Lifelong Learning of Spatiotemporal Representations With Dual-Memory Recurrent Self-Organization (2018, background): “Furthermore, each neuron is equipped with a habituation counter h j ∈ [0 , 1] expressing how frequently it has fired based on a simplified model of how the efficacy of a habituating synapse reduces over time (Stanley, 1976).”
- Lifelong learning of human actions with deep neural network self-organization (2017, methodology): “The network implements a firing counter η ∈ [0, 1] used to express how frequently a neuron has fired based on a simplified model of how the efficacy of an habituating synapse reduces over time (Stanley, 1976).”
- Emergence of multimodal action representations from neural network self-organization (2017, methodology): “For this purpose, the network implements a firing counter g 2 1⁄20; 1 to express how frequently a neuron has fired based on a simplified model of how the efficacy of an habituating synapse reduces over time (Stanley, 1976).”
- Self-organizing neural integration of pose-motion features for human action recognition (2015, background): “Stanley (1976) proposed a differential equation as a simplified model of how the efficacy of an habituating synapse reduces over time: where h s ( t ) is the size of the firing rate for node s , h 0 is a the resting value, S ( t ) is the stimulus strength, and τ , α are constants that control the…”
- A self-organising network that grows when required (2002, background): “which is the model of how the efficacy of an habituating synapse reduces over time proposed by Stanley (1976) .”
- Lifelong Learning of Action Representations with Deep Neural Self-Organization (2017, methodology): “The network implements a firing counter η ∈ [0, 1] used to express how frequently a neuron has fired based on a simplified model of how the efficacy of an habituating synapse reduces over time (Stanley 1976).”