NESP: an analog NEural Signal Processor

This paper presents a signal processor based on neural computation rather than traditional programming. This processor has analog input-output, analog processing unit and analog memory. It doesn't require any converter to be interfaced to analog signals. Configuration data is stored into an internal analog memory, based on flash EEPROM technology. A modular architecture allows one to put together more processors to configure more layers and more neurons.