30 search results - page 2 / 6 » A Simple Model of Long-Term Spike Train Regularization |
BC
2008
13 years 6 months ago
2008
For simulations of large spiking neuron networks, an accurate, simple and versatile single-neuron modeling framework is required. Here we explore the versatility of a simple two-eq...
ACL
2009
13 years 3 months ago
2009
Stochastic gradient descent (SGD) uses approximate gradients estimated from subsets of the training data and updates the parameters in an online fashion. This learning framework i...
NIPS
2001
13 years 7 months ago
2001
Recent biological experimental findings have shown that the synaptic plasticity depends on the relative timing of the pre- and postsynaptic spikes which determines whether Long Te...
IJON
2002
13 years 5 months ago
2002
The ability of dynamic synapses with short-term depression to transmit the information present in the presynaptic spike train to the postsynaptic neuron is discussed. Both by mini...
IJCNN
2007
IEEE
14 years 11 days ago
2007
IEEE
— Neurons are point process systems, in the sense that the inputs and output which are spike trains can be treated as point processes. System identification of a point process s...