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- W4281696830 abstract "Local patterns of excitation and inhibition that can generate neural waves are studied as a computational mechanism underlying the organization of neuronal tunings. Sparse coding algorithms based on networks of excitatory and inhibitory neurons are proposed that exhibit topographic maps as the receptive fields are adapted to input stimuli. Motivated by a leaky integrate-and-fire model of neural waves, we propose an activation model that is more typical of artificial neural networks. Computational experiments with the activation model using both natural images and natural language text are presented. In the case of images, familiar pinwheel patterns of oriented edge detectors emerge; in the case of text, the resulting topographic maps exhibit a 2-dimensional representation of granular word semantics. Experiments with a synthetic model of somatosensory input are used to investigate how the network dynamics may affect plasticity of neuronal maps under changes to the inputs." @default.
- W4281696830 created "2022-06-13" @default.
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- W4281696830 date "2022-05-26" @default.
- W4281696830 modified "2023-09-27" @default.
- W4281696830 title "Emergent organization of receptive fields in networks of excitatory and inhibitory neurons" @default.
- W4281696830 doi "https://doi.org/10.48550/arxiv.2205.13614" @default.
- W4281696830 hasPublicationYear "2022" @default.
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