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The Mihalas-Niebur neural model is a generalized model of the leaky integrate-and-fire neuron with adaptive threshold. It has been shown in simulation to be capable of producing most of the known spiking and bursting patterns of cortical neurons. We present results from the first circuit implementation of the model with six spiking patterns observed in biological regular-spiking, fast-spiking and...
Silicon neuron circuits emulate the electrophysiological behavior of real neurons. Many circuits can be integrated on a single very large scale integration (VLSI) device, and form large networks of spiking neurons. Connectivity among neurons can be achieved by using time multiplexing and fast asynchronous digital circuits. As the basic characteristics of the silicon neurons are determined at design...
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