Systematic configuration and automatic tuning of neuromorphic systems
, 2011 In the past recent years several research groups have proposed neuromorphic Very Large Scale Integration (VLSI) devices that implement event-based sensors or biophysically realistic networks of spiking neurons.
Sheik, S. +14 more
core +1 more source
Energy Efficient Neuromorphic Computing with beyond-CMOS Oscillatory Neural Networks
, 2021 International audienceOscillatory Neural Networks (ONNs) are non-von Neumann architectures where information is encoded in phase relations between coupled oscillators. In this work, we present the concept of ONN based on beyond-CMOS devices to reduce the
Delacour, Corentin +3 more
core +2 more sources
Self-organized nanoscale networks: are neuromorphic properties conserved in realistic device geometries? [PDF]
, 2023 Self-organised nanoscale networks are currently under investigation because of their potential to be used as novel neuromorphic computing systems. In these systems, electrical input and output signals will necessarily couple to the recurrent electrical ...
Acharya, S +7 more
core +1 more source
Integrated Neuromorphic Photonics: Synapses, Neurons, and Neural Networks
Advanced Photonics Research, 2021 Ever‐growing demands of bandwidth, computing speed, and power consumption are now accelerating the transformation of computing research, as work‐at‐home becomes a new normal.
Xuhan Guo +3 more
doaj +1 more source
Scalable network emulation on analog neuromorphic hardware
Frontiers in NeuroscienceWe present a novel software feature for the BrainScaleS-2 accelerated neuromorphic platform that facilitates the partitioned emulation of large-scale spiking neural networks.
Elias Arnold +6 more
doaj +1 more source
Benchmarking the Epiphany Processor as a Reference Neuromorphic Architecture [PDF]
, 2022 This short article explains why the Epiphany architecture is a proper refer- ence for digital large-scale neuromorphic design. We compare the Epiphany architecture with several modern digital neuromorphic processors.
Vadivel, Kanishkan +7 more
core +1 more source
Laser‐Induced Graphene from Waste Almond Shells
Advanced Functional Materials, EarlyView.Almond shells, an abundant agricultural by‐product, are repurposed to create a fully bioderived almond shell/chitosan composite (ASC) degradable in soil. ASC is converted into laser‐induced graphene (LIG) by laser scribing and proposed as a substrate for transient electronics.
Yulia Steksova +9 more
wiley +1 more source
The more the merrier: running multiple neuromorphic components on-chip for robotic control
Neuromorphic Computing and EngineeringIt has long been realized that neuromorphic hardware offers benefits for the domain of robotics such as low energy, low latency, as well as unique methods of learning.
Evan Eames +11 more
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A versatile neuromorphic system based on simple neuron model
AIP Advances, 2019 Brain-inspired neuromorphic computing has attracted much attention for its advanced computing concept. However, the massive hardware cost in fully-connected architectures makes it challenging to build a large-scale neuromorphic system.
C. M. Zhang +7 more
doaj +1 more source
Recent advances in neuromorphic transistors for artificial perception applications
Science and Technology of Advanced Materials, 2023 Conventional von Neumann architecture is insufficient in establishing artificial intelligence (AI) in terms of energy efficiency, computing in memory and dynamic learning.
Wei Sheng Wang, Li Qiang Zhu
doaj +1 more source