Digitization: Neural Interfaces and Amplifiers

This lecture covers the fundamentals of digitization in the context of neural interfaces and amplifiers, discussing topics such as MOS small-signal models, CMOS amplifiers, common-source stages, and neural amplifier OTA architecture. It delves into the concepts of noise efficiency factor, DC offset cancellation, and the circuit blocks used in sensors for medical monitoring. The presentation progresses to the principles of analog-to-digital conversion, digital data acquisition, and ADC basics, explaining the process of sampling, quantization, and encoding. The lecture concludes with an overview of ADC operation, including sampling and holding techniques.