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The computational complexity of deep learning algorithms has given rise to significant speed and memory challenges for the execution hardware. In energy-limited portable devices, highly efficient processing platforms are indispensable for reproducing the prowess afforded by much bulkier processing platforms.In this work, we present a low-power Leaky Integrate-and-Fire (LIF) neuron design fabricated in TSMC's 28 nm CMOS technology as proof of concept to build an energy-efficient mixed-signal Neuromorphic System-on-Chip (NeuroSoC). The fabricated neuron consumes 1.61 fJ/spike and occupies an active area of 34 µm 2 , leading to a maximum spiking frequency of 300 kHz at 250 mV power supply.These performances are used in a software model to emulate the dynamics of a Spiking Neural Network (SNN). Employing supervised backpropagation and a surrogate gradient technique, the resulting accuracy on the MNIST dataset, using 4-bit posttraining quantization stands at 82.5%. The approach underscores the potential of such ASIC implementation of quantized SNNs to deliver high-performance, energy-efficient solutions to various embedded machine-learning applications.

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This paper presents a compact low-power, lownoise bioamplifier for multi-channel electrode arrays, aimed at recording action potentials. The design we put forth attains a notable decrease in both size and power consumption. This is achieved by incorporating an active lowpass filter that doesn't rely on bulky DC-blocking capacitors, and by utilizing the TSMC 28 nm HPC CMOS technology. This paper presents extensive simulation results of noise and results from measured performance. With a mid-band gain of 58 dB, a -3 dB bandwidth of 7 kHz (from 150 Hz to 7.1 kHz), and an input-referred noise of 15.8 µV rms corresponding to a NEF of 12. The implemented design achieves a favourable tradeoff between noise, area, and power consumption, surpassing previous findings in terms of size and power. The amplifier occupies the smallest area of 2500 µm 2 and consumes only 3.4 µW from a 1.2 V power supply corresponding to a power efficiency factor of 175 and an area efficiency factor of 0.43, respectively.