作者: Rahul Sarpeshkar
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摘要: A/D conversion of a current input is performed with integrate-and-fire spiking neurons. Techniques that upcount or downcount the number spikes fired by one neuron in time period established another yield quantized estimates analog charge residues created current. Recursive application alternate upcounting and downcounting operations yields successively finer quantization are terminated an error-correction operation to obtain least significant bit conversion. A spike-based hybrid state machine (HSM) employing both digital elements configured create 2-step successive-subranging analog-to-digital converter. The speed augmented pipelined topology. In HSM, spike-triggered finite (FSM) controls currents neurons turn controlled arising from these realization overrange-subrange converter provides exemplary illustration successful use techniques.