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Optimal deep brain stimulation of the subthalamic nucleus - a computational study., , , , and . J. Comput. Neurosci., 23 (3): 265-282 (2007)How connectivity structure shapes rich and lazy learning in neural circuits., , , , , and . CoRR, (2023)Evolutionary algorithms as an alternative to backpropagation for supervised training of Biophysical Neural Networks and Neural ODEs., , , and . CoRR, (2023)Learning dynamics of deep linear networks with multiple pathways., , and . NeurIPS, (2022)Single Circuit in V1 Capable of Switching Contexts During Movement Using an Inhibitory Population as a Switch., , , , and . Neural Comput., 34 (3): 541-594 (2022)Dimensionality in recurrent spiking networks: Global trends in activity and local origins in connectivity., , , and . PLoS Comput. Biol., (2019)Linking structure and activity in nonlinear spiking networks., , , and . PLoS Comput. Biol., (2017)Periodic orbit., , and . Scholarpedia, 1 (7): 1358 (2006)How connectivity structure shapes rich and lazy learning in neural circuits., , , , , and . ICLR, OpenReview.net, (2024)Biologically-plausible backpropagation through arbitrary timespans via local neuromodulators., , , , and . NeurIPS, (2022)