Find models by
Find models for
Find models of
Electrical synapses (gap junctions)
SenseLab mailing list
ModelDB related resources
Computational neuroscience ecosystem
Models in a git repository
First-Spike-Based Visual Categorization Using Reward-Modulated STDP (Mozafari et al. 2018)
Download zip file
Help downloading and running models
"...Here, for the first time, we show that (Reinforcement Learning) RL can be used efficiently to train a spiking neural network (SNN) to perform object recognition in natural images without using an external classifier. We used a feedforward convolutional SNN and a temporal coding scheme where the most strongly activated neurons fire first, while less activated ones fire later, or not at all. In the highest layers, each neuron was assigned to an object category, and it was assumed that the stimulus category was the category of the first neuron to fire. ..."
Mozafari M, Kheradpisheh SR, Masquelier T, Nowzari-Dalini A, Ganjtabesh M (2018) First-Spike-Based Visual Categorization Using Reward-Modulated STDP
IEEE Transactions on Neural Networks and Learning Systems
(Click on a link to find other models with that property)
Abstract integrate-and-fire neuron;
Mozafari, Milad [milad.mozafari at ut.ac.ir];
File not selected
<- Select file from this column.
Loading data, please wait...