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A 3D Convolutional Neural Network to Model Retinal Ganglion Cell's Responses to Light Patterns in Mice., , , , , and . Int. J. Neural Syst., 28 (10): 1850043:1-1850043:16 (2018)System-Level Design of a 64-Channel Low Power Neural Spike Recording Sensor., , , , , and . IEEE Trans. Biomed. Circuits Syst., 11 (2): 420-433 (2017)Toward an Improvement of the Analysis of Neural Coding., , , , , , and . Frontiers Neuroinformatics, (2017)Using Biologically-inspired Image Features to Model Retinal Response: Evidence from Biological Datasets., , , , , and . EMBC, page 3378-3381. IEEE, (2021)Neurolight Alpha: Interfacing Computational Neural Models for Stimulus Modulation in Cortical Visual Neuroprostheses., , , , , , and . IWINAC (1), volume 11486 of Lecture Notes in Computer Science, page 108-119. Springer, (2019)Development and Validation of a Novel Technology for Postural Analysis and Human Kinematics., , , and . IWINAC (1), volume 13259 of Lecture Notes in Computer Science, page 492-504. Springer, (2022)Machine Learning Method for Functional Assessment of Retinal Models., , , , , and . CoRR, (2022)In vivo measurements with a 64-channel extracellular neural recording integrated circuit., , , , , and . ICECS, page 486-489. IEEE, (2014)A 330μW, 64-channel neural recording sensor with embedded spike feature extraction and auto-calibration., , , , , and . A-SSCC, page 205-208. IEEE, (2014)Machine Learning Method for Functional Assessment of Retinal Models., , , , , and . EMBC, page 4293-4296. IEEE, (2021)