Hava Siegelmann to Neurons
This is a "connection" page, showing publications Hava Siegelmann has written about Neurons.
Connection Strength
1.501
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Amgalan A, Taylor P, Mujica-Parodi LR, Siegelmann HT. Unique scales preserve self-similar integrate-and-fire functionality of neuronal clusters. Sci Rep. 2021 03 05; 11(1):5331.
Score: 0.468
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Tal A, Peled N, Siegelmann HT. Biologically inspired load balancing mechanism in neocortical competitive learning. Front Neural Circuits. 2014; 8:18.
Score: 0.289
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Cabessa J, Siegelmann HT. The computational power of interactive recurrent neural networks. Neural Comput. 2012 Apr; 24(4):996-1019.
Score: 0.249
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Siegelmann HT, Holzman LE. Neuronal integration of dynamic sources: Bayesian learning and Bayesian inference. Chaos. 2010 Sep; 20(3):037112.
Score: 0.226
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Lipson H, Siegelmann HT. Clustering irregular shapes using high-order neurons. Neural Comput. 2000 Oct; 12(10):2331-53.
Score: 0.114
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Saunders DJ, Patel D, Hazan H, Siegelmann HT, Kozma R. Locally connected spiking neural networks for unsupervised feature learning. Neural Netw. 2019 Nov; 119:332-340.
Score: 0.105
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Pietrzykowski AZ, Friesen RM, Martin GE, Puig SI, Nowak CL, Wynne PM, Siegelmann HT, Treistman SN. Posttranscriptional regulation of BK channel splice variant stability by miR-9 underlies neuroadaptation to alcohol. Neuron. 2008 Jul 31; 59(2):274-87.
Score: 0.049