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Link to original content: http://github.com/topics/electrophysiological-data
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electrophysiological-data

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neerajwagh / eeg-self-supervision

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Resources for the paper titled "Domain-guided Self-supervision of EEG Data Improves Downstream Classification Performance and Generalizability". Accepted at ML4H Symposium 2021 with an oral spotlight!

machine-learning deep-learning neural-network domain-driven-design neuroscience eeg eeg-signals convolutional-neural-networks transfer-learning representation-learning unsupervised-learning biosignals multi-task-learning eeg-classification self-supervision self-supervised-learning electroencephalogram electrophysiological-data ml4h neurips-2021
  • Updated Jul 12, 2023
  • Python

InPhyT / Quantitative_Single_Neuron_Modeling_Competition_2009

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Data for the Quantitative Single-Neuron Modeling Competition (2009).

challenge competition data simulation modeling neuroscience bayesian-methods computational-neuroscience parameter-estimation bayesian-inference model-calibration uncertainty-quantification bayesian-optimization bayesian-statistics simulation-modeling electrophysiological-data electrophysiology-data neuronal-models single-neuron-model neuroscience-competition
  • Updated Jun 25, 2023

InPhyT / Quantitative_Single_Neuron_Modeling_Competition_2007

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Data for the Quantitative Single-Neuron Modeling Competition (2007).

challenge competition data simulation modeling neuroscience bayesian-methods computational-neuroscience electrophysiology parameter-estimation bayesian-inference model-calibration uncertainty-quantification bayesian-optimization bayesian-statistics simulation-modeling electrophysiological-data neuronal-models single-neuron-model neuroscience-competition
  • Updated May 30, 2023
  • MATLAB

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