Intrinsic Stabilization of Output Rates by Spike-Based Hebbian Learning
Neural Computation
Spike-Timing-Dependent Plasticity in Balanced Random Networks
Neural Computation
Reinforcement Learning, Spike-Time-Dependent Plasticity, and the BCM Rule
Neural Computation
Natural Computing: an international journal
Structural Analysis on STDP Neural Networks Using Complex Network Theory
ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part I
Spatial and temporal selectivity of hippocampal CA3 and its contribution to sequence disambiguation
ICANN'07 Proceedings of the 17th international conference on Artificial neural networks
ICONIP'08 Proceedings of the 15th international conference on Advances in neuro-information processing - Volume Part I
BCM and membrane potential: alternative ways to timing dependent plasticity
ICONIP'08 Proceedings of the 15th international conference on Advances in neuro-information processing - Volume Part I
SWAT: a spiking neural network training algorithm for classification problems
IEEE Transactions on Neural Networks
Investigating STDP and LTP in a spiking neural network
SAB'06 Proceedings of the 9th international conference on From Animals to Animats: simulation of Adaptive Behavior
Sequence disambiguation by functionally divided hippocampal CA3 model
ICONIP'06 Proceedings of the 13 international conference on Neural Information Processing - Volume Part I
Frequency selectivity emerging from spike-timing-dependent plasticity
Neural Computation
Neural associative memories and sparse coding
Neural Networks
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We demonstrate that the BCM learning rule follows directly from STDP when pre- and postsynaptic neurons fire uncorrelated or weakly correlated Poisson spike trains, and only nearest-neighbor spike interactions are taken into account.