Concept
Neuromorphic engineering
Publications associées (98)
Emulating Multimemristive Behavior of Silicon Nanowire-Based Biosensors by Using CMOS-Based Implementations
Sandro Carrara, Junrui Chen, Kapil Bhardwaj
The research presented in this article draws inspiration from previous efforts aimed at replicating the functions of various solid-state memristors using a variety of materials. The memristor circuit emulator serves as a cost-effective tool for circuit des ...
Ieee-Inst Electrical Electronics Engineers Inc2024Memristive Control of Plasmon-Mediated Nonlinear Photoluminescence in Au Nanowires
Nonlinear photoluminescence (N-PL) is a broadband photon emission arising from a nonequilibrium heated electron distribution generated at the surface of metallic nanostructures by ultrafast pulsed laser illumination. N-PL is sensitive to surface morphology ...
Amer Chemical Soc2024Neuromorphic computing based on halide perovskites
Mohammad Khaja Nazeeruddin, Feng Gao
Neuromorphic computing requires electronic systems that can perform massively parallel computational tasks with low energy consumption. Such systems have traditionally been based on complementary metal-oxide-semiconductor circuits, but further advances in ...
Berlin2023Supervised learning and inference of spiking neural networks with temporal coding
The way biological brains carry out advanced yet extremely energy efficient signal processing remains both fascinating and unintelligible. It is known however that at least some areas of the brain perform fast and low-cost processing relying only on a smal ...
EPFL2023Energy-Efficient Electronic Functions Based on the Co-integration of 2D and Ferroelectric Materials
The digital revolution has significantly transformed our world over the past decades, driven by the scaling of transistor dimensions and the exponential increase in computation power. However, as the CMOS scaling era approaches its end, the semiconductor i ...
EPFL2023Playing Brains: The Ethical Challenges Posed by Silicon Sentience and Hybrid Intelligence in DishBrain
The convergence of human and artificial intelligence is currently receiving considerable scholarly attention. Much debate about the resulting Hybrid Minds focuses on the integration of artificial intelligence into the human brain through intelligent brain- ...
2023Principles of Network Plasticity in Neocortical Microcircuits
Synaptic plasticity underlies our ability to learn and adapt to the constantly changing environment. The phenomenon of synapses changing their efficacy in an activity-dependent manner is often studied in small groups of neurons in vitro or indirectly throu ...
EPFL2023From event-based surprise to lifelong learning.A journey in the timescales of adaptation
Martin Louis Lucien Rémy Barry
Humans and animals constantly adapt to their environment over the course of their life. This thesis seeks to integrate various timescales of adaptation, ranging from the adaptation of synaptic connections between spiking neurons (milliseconds), rapid behav ...
EPFL20233D trigonal FAPbI(3)-based multilevel resistive switching nonvolatile memory for artificial neural synapse
Mohammad Khaja Nazeeruddin, Paul Joseph Dyson, Yong Ding, Li Tao, Yao Zhang, Jun Zhang, Bowen Jiang
Hybrid perovskites have attracted enormous attention in the next generation resistive switching (RS) memristor for the artificial synapses, owing to their ambipolar charge transport, long diffusion length, and tunable visible bandgap. However, the variable ...
WILEY2023