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   Articles with "competitive learning" as a keyword



Place cell maps slowly develop via competitive learning and conjunctive coding in the dentate gyrus

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recommendations! Published in 2020 at "Nature Communications"

DOI: 10.1038/s41467-020-18351-6

Abstract: Place cells exhibit spatially selective firing fields that collectively map the continuum of positions in environments; how such activity pattern develops with experience is largely unknown. Here, we record putative granule cells (GCs) and mossy… read more here.

Keywords: dentate gyrus; via competitive; place; competitive learning ... See more keywords

Unsupervised Competitive Learning Clustering and Visual Method to Obtain Accurate Trajectories From Noisy Repetitive GPS Data

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recommendations! Published in 2025 at "IEEE Transactions on Intelligent Transportation Systems"

DOI: 10.1109/tits.2024.3520393

Abstract: To make the proper planning of bus public transportation systems, especially with the introduction of electric buses to the fleets, it is essential to characterize the routes, patterns of traffic, speed, constraints, and presence of… read more here.

Keywords: method; gps; competitive learning; gps samples ... See more keywords

An Intelligence EEG Signal Recognition Method via Noise Insensitive TSK Fuzzy System Based on Interclass Competitive Learning

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recommendations! Published in 2020 at "Frontiers in Neuroscience"

DOI: 10.3389/fnins.2020.00837

Abstract: Epilepsy is an abnormal function disease of movement, consciousness, and nerve caused by abnormal discharge of brain neurons in the brain. EEG is currently a very important tool in the process of epilepsy research. In… read more here.

Keywords: noise insensitive; interclass competitive; system; fuzzy system ... See more keywords

Classification of Dysphonic Voices in Parkinson’s Disease with Semi-Supervised Competitive Learning Algorithm

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recommendations! Published in 2022 at "Biosensors"

DOI: 10.3390/bios12070502

Abstract: This article proposes a novel semi-supervised competitive learning (SSCL) algorithm for vocal pattern classifications in Parkinson’s disease (PD). The acoustic parameters of voice records were grouped into the families of jitter, shimmer, harmonic-to-noise, frequency, and… read more here.

Keywords: semi supervised; supervised competitive; parkinson disease; competitive learning ... See more keywords