Carlson KD, Nageswaran JM, Dutt N, Krichmar JL. (2014). An efficient automated parameter tuning framework for spiking neural networks. Frontiers in neuroscience. 8 [PubMed]

See more from authors: Carlson KD · Nageswaran JM · Dutt N · Krichmar JL

References and models cited by this paper
References and models that cite this paper

Geminiani A, Casellato C, Antonietti A, D'Angelo E, Pedrocchi A. (2018). A Multiple-Plasticity Spiking Neural Network Embedded in a Closed-Loop Control System to Model Cerebellar Pathologies. International journal of neural systems. 28 [PubMed]

Lytton WW et al. (2017). Evolutionary algorithm optimization of biological learning parameters in a biomimetic neuroprosthesis. IBM Journal of Research and Development (Computational Neuroscience special issue). 61(2/3)

Medlock L et al. (2022). Multiscale computer model of the spinal dorsal horn reveals changes in network processing associated with chronic pain The Journal of neuroscience : the official journal of the Society for Neuroscience. 42 [PubMed]

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