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Control of burst proportion and frequency range by drive-dependent modulation of adaptation.

, , , and . Neurocomputing, (1999)

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Control of burst proportion and frequency range by drive-dependent modulation of adaptation., , , and . Neurocomputing, (1999)Why Neuronal Dynamics Should Control Synaptic Learning Rules., and . NIPS, page 285-292. MIT Press, (2001)Neuronal firing rates account for distractor effects on mnemonic accuracy in a visuo-spatial working memory task., , and . Biol. Cybern., 96 (4): 407-419 (2007)SCENERY: a web application for (causal) network reconstruction from cytometry data, , , , , , , and . Nucleic Acids Research, (July 2017)Detection of compound mode of action by computational integration of whole-genome measurements and genetic perturbations., , and . BMC Bioinform., (2006)Interpretable Self-Attention Temporal Reasoning for Driving Behavior Understanding., , , , , and . ICASSP, page 2338-2342. IEEE, (2020)The Thermodynamics of Network Coding, and an Algorithmic Refinement of the Principle of Maximum Entropy., , and . Entropy, 21 (6): 560 (2019)The synaptic NMDA component desynchronizes neural bursters., and . Neurocomputing, (1999)Normalization of circulating microRNA expression data obtained by quantitative real-time RT-PCR., , , , , and . Briefings Bioinform., 17 (2): 204-212 (2016)DeepOpht: Medical Report Generation for Retinal Images via Deep Models and Visual Explanation., , , , , , , , , and 2 other author(s). CoRR, (2020)