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Toward Unified Hybrid Simulation Techniques for Spiking Neural Networks.

, , and . Neural Comput., 26 (6): 1055-1079 (2014)

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Memory in linear recurrent neural networks in continuous time., and . Neural Networks, 23 (3): 341-355 (2010)Memory in reservoirs for high dimensional input., and . IJCNN, page 1-7. IEEE, (2010)Connectivity, dynamics, and memory in reservoir computing with binary and analog neurons., , and . Neural computation, 22 (5): 1272--1311 (May 1, 2010)Mobile robot control in the road sign problem using Reservoir Computing networks., , and . ICRA, page 911-916. IEEE, (2008)Training Restricted Boltzmann Machines with Multi-tempering: Harnessing Parallelization., , and . ICANN (2), volume 7553 of Lecture Notes in Computer Science, page 92-99. Springer, (2012)Accelerating Event Based Simulation for Multi-synapse Spiking Neural Networks., , and . ICANN (1), volume 4131 of Lecture Notes in Computer Science, page 760-769. Springer, (2006)The Introduction of Time-Scales in Reservoir Computing, Applied to Isolated Digits Recognition., , , and . ICANN (1), volume 4668 of Lecture Notes in Computer Science, page 471-479. Springer, (2007)Oncilla Robot: A Versatile Open-Source Quadruped Research Robot With Compliant Pantograph Legs., , , , , , , , , and 2 other author(s). Frontiers Robotics AI, (2018)An overview of reservoir computing: theory, applications and implementations., , and . ESANN, page 471-482. (2007)Linking non-binned spike train kernels to several existing spike train metrics., and . ESANN, page 41-46. (2006)