Born to learn: the inspiration, progress, and future of evolved plastic artificial neural networks
Biological neural networks are systems of extraordinary computational capabilities shaped
by evolution, development, and lifelong learning. The interplay of these elements leads to …
by evolution, development, and lifelong learning. The interplay of these elements leads to …
TiO2-based memristors and ReRAM: materials, mechanisms and models (a review)
E Gale - Semiconductor Science and Technology, 2014 - iopscience.iop.org
The memristor is the fundamental nonlinear circuit element, with uses in computing and
computer memory. Resistive Random Access Memory (ReRAM) is a resistive switching …
computer memory. Resistive Random Access Memory (ReRAM) is a resistive switching …
A survey of neuromorphic computing and neural networks in hardware
Neuromorphic computing has come to refer to a variety of brain-inspired computers, devices,
and models that contrast the pervasive von Neumann computer architecture. This …
and models that contrast the pervasive von Neumann computer architecture. This …
Review on various memristor models, characteristics, potential applications, and future works
M Khalid - Transactions on Electrical and Electronic Materials, 2019 - Springer
In this paper, basic theory of novel devices as memristors, their models, and I–V
characteristic have been discussed. They can be used in various potential applications …
characteristic have been discussed. They can be used in various potential applications …
Memristor emulator with spike-timing-dependent-plasticity
A novel fully floating memristor circuit that accounts for the Spike Timing-Dependent
Plasticity (STDP) mechanism is presented in this paper. This proposed circuit does not need …
Plasticity (STDP) mechanism is presented in this paper. This proposed circuit does not need …
Neuromorphic crossbar circuit with nanoscale filamentary-switching binary memristors for speech recognition
In this paper, a neuromorphic crossbar circuit with binary memristors is proposed for speech
recognition. The binary memristors which are based on filamentary-switching mechanism …
recognition. The binary memristors which are based on filamentary-switching mechanism …
Parameter optimization and learning in a spiking neural network for UAV obstacle avoidance targeting neuromorphic processors
The Lobula giant movement detector (LGMD) is an identified neuron of the locust that
detects looming objects and triggers the insect's escape responses. Understanding the …
detects looming objects and triggers the insect's escape responses. Understanding the …
Slime mould memristors
In laboratory experiments, we demonstrate that protoplasmic tubes of the acellular slime
mould Physarum polycephalum show current versus voltage profiles consistent with …
mould Physarum polycephalum show current versus voltage profiles consistent with …
Memristor-based adaptive coupling for consensus and synchronization
A configuration of two memristors connected with opposite polarity is proposed to realize an
adaptive law for consensus and synchronization. This configuration allows one to couple …
adaptive law for consensus and synchronization. This configuration allows one to couple …
Dynamic behavior of artificial Hodgkin–Huxley neuron model subject to additive noise
Motivated by neuroscience discoveries during the last few years, many studies consider
pulse-coupled neural networks with spike-timing as an essential component in information …
pulse-coupled neural networks with spike-timing as an essential component in information …