Emulating long-term synaptic dynamics with memristive devices [PDF]
, 2016 The potential of memristive devices is often seeing in implementing neuromorphic architectures for achieving brain-like computation. However, the designing procedures do not allow for extended manipulation of the material, unlike CMOS technology, the ...
Berdan, Radu +5 more
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Why Neurons Have Thousands of Synapses, A Theory of Sequence Memory in Neocortex [PDF]
, 2015 Neocortical neurons have thousands of excitatory synapses. It is a mystery how neurons integrate the input from so many synapses and what kind of large-scale network behavior this enables.
Ahmad, Subutai, Hawkins, Jeff
core +3 more sources
Universal and Convenient Optimization Strategies for Three-Terminal Memristors
IEEE Access, 2018 Neuromorphic computing, i.e., brainlike computing, has attracted a great deal of attention because of its exceptional performance. For the hardware implementation of neuromorphic systems, the desired key building blocks, artificial synapses, have been ...
Kunlong Yang +6 more
doaj +1 more source
Bioinspired activation of silent synapses in layered materials for extensible neuromorphic computing
Journal of Materiomics, 2023 Activation of silent synapses is of great significance for the extension of neural plasticity related to learning and memory. Inspired by the activation of silent synapses via receptor insertion in neural synapses, we propose an efficient method for ...
Yan Kang +7 more
doaj +1 more source
Stochastic Synapses Enable Efficient Brain-Inspired Learning Machines [PDF]
, 2016 Recent studies have shown that synaptic unreliability is a robust and sufficient mechanism for inducing the stochasticity observed in cortex. Here, we introduce Synaptic Sampling Machines, a class of neural network models that uses synaptic stochasticity
Al-Shedivat, Maruan +4 more
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A one-transistor-synapse strategy for electrically-programmable massively-parallel analog array processors [PDF]
, 1997 This paper presents a linear, four-quadrants, electrically-programmable, one-transistor synapse strategy applicable to the implementation of general massively-parallel analog processors in CMOS technology.
Carmona Galán, Ricardo +3 more
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Stretchable elastic synaptic transistors for neurologically integrated soft engineering systems [PDF]
, 2019 Artificial synaptic devices that can be stretched similar to those appearing in soft-bodied animals, such as earthworms, could be seamlessly integrated onto soft machines toward enabled neurological functions.
Chai, Yang +13 more
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An artificial synapse based on molecular junctions
Nature Communications, 2023 AbstractShrinking the size of the electronic synapse to molecular length-scale, for example, an artificial synapse directly fabricated by using individual or monolayer molecules, is important for maximizing the integration density, reducing the energy consumption, and enabling functionalities not easily achieved by other synaptic materials.
Yuchun Zhang +7 more
openaire +3 more sources
Spiking Neural Networks for Inference and Learning: A Memristor-based Design Perspective [PDF]
, 2019 On metrics of density and power efficiency, neuromorphic technologies have the potential to surpass mainstream computing technologies in tasks where real-time functionality, adaptability, and autonomy are essential.
Abbott +56 more
core +2 more sources
Enhancement of synchronization in a hybrid neural circuit by spike timing dependent plasticity [PDF]
, 2003 Synchronization of neural activity is fundamental for many functions of the brain. We demonstrate that spike-timing dependent plasticity (STDP) enhances synchronization (entrainment) in a hybrid circuit composed of a spike generator, a dynamic clamp ...
Abarbanel, Henry D I +4 more
core +2 more sources