The centrality of population-level factors to network computation is demonstrated by a versatile approach for training spiking networks
Brian DePasquale, David Sussillo, L. F. Abbott, Mark M. Churchland
Topics & Concepts
CentralityTraining (meteorology)ComputationPopulationComputer scienceNeuroscienceArtificial intelligencePsychologyMedicineGeographyMathematicsAlgorithmStatisticsMeteorologyEnvironmental healthNeural dynamics and brain functionAdvanced Memory and Neural ComputingNeural Networks and Reservoir Computing