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Biochemical and Biophysical Research Communications|November 23, 2024
Navigating the unknown: Leveraging self-information and diversity in partially observable environmentsDevdhar Patel, Hava T SiegelmannNeural Networks : the Official Journal of the International Neural Network Society|September 11, 2019
Improved robustness of reinforcement learning policies upon conversion to spiking neuronal network platforms applied to Atari Breakout gameDevdhar Patel, Hananel Hazan, Daniel J Saunders, et al.Neural Networks : the Official Journal of the International Neural Network Society|September 10, 2019
Locally connected spiking neural networks for unsupervised feature learningDaniel J Saunders, Devdhar Patel, Hananel Hazan, et al.Frontiers in Neuroinformatics|January 12, 2019
BindsNET: A Machine Learning-Oriented Spiking Neural Networks Library in PythonHananel Hazan, Daniel J Saunders, Hassaan Khan, et al.Progress in Biophysics and Molecular Biology|April 16, 2013
Turing on Super-Turing and adaptivityHava T SiegelmannCurrent Opinion in Genetics & Development|October 22, 2010
Logical and symbolic analysis of robust biological dynamicsLeon Glass, Hava T SiegelmannInternational Journal of Neural Systems|October 31, 2014
The super-Turing computational power of plastic recurrent neural networksJérémie Cabessa, Hava T SiegelmannNeural Computation|February 3, 2012
The computational power of interactive recurrent neural networksJérémie Cabessa, Hava T SiegelmannBiochemical and Biophysical Research Communications|November 5, 2024
Meta-Analytic Operation of Threshold-independent Filtering (MOTiF) reveals sub-threshold genomic robustness in trisomy: The Jörmungandr EffectRoy Siegelmann, Hava T SiegelmannChaos (Woodbury, N.Y.)|October 5, 2010
Neuronal integration of dynamic sources: Bayesian learning and Bayesian inferenceHava T Siegelmann, Lars E HolzmanPageof 3