Aug 22, 2024 · This paper proposes a general online unsupervised algorithm for spatial data encoding using fast Hebbian learning.
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This paper proposes a general online unsupervised algorithm for spatial data encoding using fast Hebbian learning. Inspired by the Hierarchical Temporal Memory ...
Jun 14, 2024 · The key part of our model is a two-part synaptogenesis algorithm that allows the network to have a sparse connection matrix and adapt to non- ...
Hebbian spatial encoder with adaptive sparse connectivity ; Journal: Cognitive Systems Research, 2024, p. 101277 ; Publisher: Elsevier BV ; Authors: Petr Kuderov, ...
Jun 17, 2024 · This paper proposes a novel network named global-to-local adaptive spatial encoder network, which focuses on global features to generate a total ...
Hebbian Spatial Encoder with Adaptive Sparse Connectivity. https://doi.org/10.2139/ssrn.4864801. Journal: 2024. Publisher: Elsevier BV. Authors: Aleksandr Panov ...
Kuderov P., Dzhivelikian E., Panov A. Hebbian spatial encoder with adaptive sparse connectivity // Cognitive Systems Research. 2024. Vol. 88. p. 101277.
1. Deep learning using rectified linear units (ReLU);Agarap,2019 · 2. Hebbian learning meets deep convolutional neural networks;Amato,2019.
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Hebbian spatial encoder with adaptive sparse connectivity · P Kuderov, E Dzhivelikian, AI Panov - Cognitive Systems Research - 2024 - Elsevier. Biologically ...
Complex cognitive behaviors, such as context-switching and rule-following, are thought to be supported by the prefrontal cortex (PFC).