An objective function for STDP
By Yoshua Bengio, Thomas Mesnard, Asja Fischer, Saizheng Zhang, Yuhai Wu. 2015
14 citations recorded by the source corpus.
Subfields: Neuroscience
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Neuroscience
- Guangyu Robert Yang
- H. Francis Song
- Michael Pfeiffer
- Xiao-Jing Wang
- Guoqi Li
- Yoshua Bengio
- Anirudh Goyal
- Surya Ganguli
Citations in the corpus
- Variational Walkback: Learning a Transition Operator as a Stochastic Recurrent Net (2017, background): “As discussed in Bengio et al. (2015), spike-timing dependent plasticity (STDP), a plasticity rule found in the brain (Markram and Sakmann, 1995), corresponds to increasing the probability of configurations towards which the network intrinsically likes to go (i.e., remembering observed…”
- Equilibrium Propagation: Bridging the Gap between Energy-Based Models and Backpropagation (2016, background): “Experimental results by Bengio et al. (2015a) show that if the temporal derivative of the synaptic weight W ij satisfies then one recovers the experimental observations by Bi and Poo (2001) in biological neurons.”
- Training Deep Spiking Neural Networks Using Backpropagation (2016, methodology): “In the case of SNNs, several papers have used the trick of treating spike-induced abrupt changes as noise for gradient descent optimization [1, 11].”
- Spatio-Temporal Backpropagation for Training High-Performance Spiking Neural Networks (2017, methodology): “One of existing method viewed the discontinuous points of the potential at spiking times as noise and claimed it is beneficial for the model robustness [23], [29], while it did not directly address the non-differentiability of the spike activity.”
- Training Excitatory-Inhibitory Recurrent Neural Networks for Cognitive Tasks: A Simple and Flexible Framework (2016, background): “Although none of the learning methods discussed here can at present be considered biological, recent work also suggests that spike-timing dependent plasticity (STDP) [38], which is believed to be a basic rule governing synaptic weight changes in the brain, may correspond to a form of SGD [39, 40].”