Description: Based on the information processing functionalities of spiking neurons, a spiking neural network model is proposed to extract features from a visual image. The network is constructed with a conductance-based integrate-and-fire neuron model and a set of specific receptive fields. The properties of the network are detailed in this paper. Simulation results show that the network is able to perform image feature extraction within a time interval of 100 ms. This processing time is consistent with the human visual system. The demonstrations show how the network can extract right-angle contours in a visual image. Based on this principle, many other image features can be extracted by analogy. The parallel processing mechanism of this network model is very promising for a hardware implementation based on VLSI or FPGA technology. Platform: |
Size: 288768 |
Author:sacoura31 |
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Description: 我们给leaky integrate-and-fire neuron 的概述。引入的漏水整合和火神经元可能是一个正式的leaky integrate-and-fire neuron 的最有名的例子。leaky integrate-and-fire neuron 的推广包括leaky integrate-and-fire neuron 。所有的leaky integrate-and-fire neuron 可以通过外部电流或从突触前神经元突触输入刺激。-we give an overview of integrate-and-fire models. The leaky integrate-and-fire neuron introduced is probably the best-known example of a formal spiking neuron model. Generalizations of the leaky integrate-and-fire model include the nonlinear integrate-and-fire model. All integrate-and-fire neurons can either be stimulated by external current or by synaptic input presynaptic neurons. Platform: |
Size: 2991104 |
Author:曾冠雄 |
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Description: This GUi implements the Eugene Izhikevich (2003) spiking equation.
Spiking Neurons simulator
Easily Simulate a Customizable Network of Spiking Leaky Integrate and Fire Neurons
Simulation of an STDP-based constructive algorithm for spiking neural networks
The Siegert Neuron has a transfer function equivalent to a leaky integrate-and-fire neuron.
Platform: |
Size: 788480 |
Author:Sina |
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