Literature DB >> 9903491

Retrieval of spatio-temporal sequence in asynchronous neural network.

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Abstract

Year:  1990        PMID： 9903491     DOI： 10.1103/physreva.41.3346

Source DB:  PubMed          Journal:  Phys Rev A        ISSN： 1050-2947            Impact factor:   3.140


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  4 in total

1.  Modeling disease progression in Multiple Myeloma with Hopfield networks and single-cell RNA-seq.

Authors:  Sergii Domanskyi; Alex Hakansson; Giovanni Paternostro; Carlo Piermarocchi
Journal:  Proceedings (IEEE Int Conf Bioinformatics Biomed)       Date:  2020-02-06

2.  Cell cycle time series gene expression data encoded as cyclic attractors in Hopfield systems.

Authors:  Anthony Szedlak; Spencer Sims; Nicholas Smith; Giovanni Paternostro; Carlo Piermarocchi
Journal:  PLoS Comput Biol       Date:  2017-11-17       Impact factor: 4.475

3.  Modelling the interplay between the CD4[Formula: see text]/CD8[Formula: see text] T-cell ratio and the expression of MHC-I in tumours.

Authors:  Christian John Hurry; Alexander Mozeika; Alessia Annibale
Journal:  J Math Biol       Date:  2021-06-18       Impact factor: 2.259

4.  Multiple-Timescale Neural Networks: Generation of History-Dependent Sequences and Inference Through Autonomous Bifurcations.

Authors:  Tomoki Kurikawa; Kunihiko Kaneko
Journal:  Front Comput Neurosci       Date:  2021-12-10       Impact factor: 2.380
  4 in total

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