Currently the main research topic aims to create miniature devices that operate as neurons and synapses for bio-inspired neuromorphic computation related to data sensing and image processing. The brain, a complex structure, integrates computing and memory through analogue signals transmitted among spiking neurons. Spiking Neural Networks (SNN) enable the development of neuromorphic computation systems that mimic biological brains. These systems excel at handling noisy data and stimuli, making them well-suited for perception, cognition, and motor tasks. The ERC-funded PeroSpiker project aims to develop miniature material elements that emulate the behaviour of neurons and synapses, resulting in smaller, simpler, and more energy-efficient SNNs. The project focuses on metal halide perovskite, an ideal material for creating devices that mimic biological membranes and synapses.