Matches in SemOpenAlex for { <https://semopenalex.org/work/W3168203489> ?p ?o ?g. }
Showing items 1 to 86 of
86
with 100 items per page.
- W3168203489 abstract "Abstract For the past century, the anatomy of a neuron has been considered one of its defining features: The shape of a neuron’s dendrites and axon fundamentally determines what other neurons it can connect to. These neurites have been described using mathematical tools e.g. in the context of cell type classification, but generative models of these structures have only rarely been proposed and are often computationally inefficient. Here we propose M orph VAE, a sequence-to-sequence variational autoencoder with spherical latent space as a generative model for neural morphologies. The model operates on walks within the tree structure of a neuron and can incorporate expert annotations on a subset of the data using semi-supervised learning. We develop our model on artificially generated toy data and evaluate its performance on dendrites of excitatory cells and axons of inhibitory cells of mouse motor cortex (M1) and dendrites of retinal ganglion cells. We show that the learned latent feature space allows for better cell type discrimination than other commonly used features. By sampling new walks from the latent space we can easily construct new morphologies with a specified degree of similarity to their reference neuron, providing an efficient generative model for neural morphologies." @default.
- W3168203489 created "2021-06-22" @default.
- W3168203489 creator A5022381553 @default.
- W3168203489 creator A5043130208 @default.
- W3168203489 date "2021-06-15" @default.
- W3168203489 modified "2023-10-16" @default.
- W3168203489 title "MorphVAE: Generating Neural Morphologies from 3D-Walks using a Variational Autoencoder with Spherical Latent Space" @default.
- W3168203489 cites W1974296549 @default.
- W3168203489 cites W1976111179 @default.
- W3168203489 cites W1979845944 @default.
- W3168203489 cites W1995031373 @default.
- W3168203489 cites W2016381774 @default.
- W3168203489 cites W2018227909 @default.
- W3168203489 cites W2025603247 @default.
- W3168203489 cites W2061186544 @default.
- W3168203489 cites W2064675550 @default.
- W3168203489 cites W2070468940 @default.
- W3168203489 cites W2072089154 @default.
- W3168203489 cites W2074633779 @default.
- W3168203489 cites W2121289914 @default.
- W3168203489 cites W2145680887 @default.
- W3168203489 cites W2152255315 @default.
- W3168203489 cites W2281148031 @default.
- W3168203489 cites W2787236473 @default.
- W3168203489 cites W2896734580 @default.
- W3168203489 cites W2911934184 @default.
- W3168203489 cites W2963806356 @default.
- W3168203489 cites W2968378480 @default.
- W3168203489 cites W2990197448 @default.
- W3168203489 cites W3006130831 @default.
- W3168203489 cites W3007586577 @default.
- W3168203489 cites W3008795506 @default.
- W3168203489 cites W3022694940 @default.
- W3168203489 cites W3046326894 @default.
- W3168203489 cites W3106117005 @default.
- W3168203489 doi "https://doi.org/10.1101/2021.06.14.448271" @default.
- W3168203489 hasPublicationYear "2021" @default.
- W3168203489 type Work @default.
- W3168203489 sameAs 3168203489 @default.
- W3168203489 citedByCount "1" @default.
- W3168203489 countsByYear W31682034892021 @default.
- W3168203489 crossrefType "posted-content" @default.
- W3168203489 hasAuthorship W3168203489A5022381553 @default.
- W3168203489 hasAuthorship W3168203489A5043130208 @default.
- W3168203489 hasBestOaLocation W31682034891 @default.
- W3168203489 hasConcept C101738243 @default.
- W3168203489 hasConcept C103278499 @default.
- W3168203489 hasConcept C115961682 @default.
- W3168203489 hasConcept C153180895 @default.
- W3168203489 hasConcept C154945302 @default.
- W3168203489 hasConcept C167966045 @default.
- W3168203489 hasConcept C2778112365 @default.
- W3168203489 hasConcept C39890363 @default.
- W3168203489 hasConcept C41008148 @default.
- W3168203489 hasConcept C50644808 @default.
- W3168203489 hasConcept C54355233 @default.
- W3168203489 hasConcept C86803240 @default.
- W3168203489 hasConceptScore W3168203489C101738243 @default.
- W3168203489 hasConceptScore W3168203489C103278499 @default.
- W3168203489 hasConceptScore W3168203489C115961682 @default.
- W3168203489 hasConceptScore W3168203489C153180895 @default.
- W3168203489 hasConceptScore W3168203489C154945302 @default.
- W3168203489 hasConceptScore W3168203489C167966045 @default.
- W3168203489 hasConceptScore W3168203489C2778112365 @default.
- W3168203489 hasConceptScore W3168203489C39890363 @default.
- W3168203489 hasConceptScore W3168203489C41008148 @default.
- W3168203489 hasConceptScore W3168203489C50644808 @default.
- W3168203489 hasConceptScore W3168203489C54355233 @default.
- W3168203489 hasConceptScore W3168203489C86803240 @default.
- W3168203489 hasLocation W31682034891 @default.
- W3168203489 hasOpenAccess W3168203489 @default.
- W3168203489 hasPrimaryLocation W31682034891 @default.
- W3168203489 hasRelatedWork W2572600474 @default.
- W3168203489 hasRelatedWork W2592385986 @default.
- W3168203489 hasRelatedWork W2776466379 @default.
- W3168203489 hasRelatedWork W2785535669 @default.
- W3168203489 hasRelatedWork W2897995864 @default.
- W3168203489 hasRelatedWork W2966657595 @default.
- W3168203489 hasRelatedWork W2998168123 @default.
- W3168203489 hasRelatedWork W3090006671 @default.
- W3168203489 hasRelatedWork W4220775285 @default.
- W3168203489 hasRelatedWork W4287995534 @default.
- W3168203489 isParatext "false" @default.
- W3168203489 isRetracted "false" @default.
- W3168203489 magId "3168203489" @default.
- W3168203489 workType "article" @default.