Recent progress in vanadium dioxide: The multi-stimuli responsive material and its applications
The reversible phase transition in vanadium dioxide (VO 2) with light, heat, electric,
magnetic, and mechanical stimuli is the enabling concept to function as a smart material. It is …
magnetic, and mechanical stimuli is the enabling concept to function as a smart material. It is …
Large-scale neuromorphic spiking array processors: A quest to mimic the brain
Neuromorphic engineering (NE) encompasses a diverse range of approaches to information
processing that are inspired by neurobiological systems, and this feature distinguishes …
processing that are inspired by neurobiological systems, and this feature distinguishes …
SpiNNaker: A 1-W 18-core system-on-chip for massively-parallel neural network simulation
The modelling of large systems of spiking neurons is computationally very demanding in
terms of processing power and communication. SpiNNaker-Spiking Neural Network …
terms of processing power and communication. SpiNNaker-Spiking Neural Network …
The cell-type specific cortical microcircuit: relating structure and activity in a full-scale spiking network model
TC Potjans, M Diesmann - Cerebral cortex, 2014 - academic.oup.com
In the past decade, the cell-type specific connectivity and activity of local cortical networks
have been characterized experimentally to some detail. In parallel, modeling has been …
have been characterized experimentally to some detail. In parallel, modeling has been …
Artificial neural networks in hardware: A survey of two decades of progress
This article presents a comprehensive overview of the hardware realizations of artificial
neural network (ANN) models, known as hardware neural networks (HNN), appearing in …
neural network (ANN) models, known as hardware neural networks (HNN), appearing in …
Device and materials requirements for neuromorphic computing
Energy efficient hardware implementation of artificial neural network is challenging due
the'memory-wall'bottleneck. Neuromorphic computing promises to address this challenge by …
the'memory-wall'bottleneck. Neuromorphic computing promises to address this challenge by …
The cat is out of the bag: cortical simulations with 109 neurons, 1013 synapses
In the quest for cognitive computing, we have built a massively parallel cortical simulator,
C2, that incorporates a number of innovations in computation, memory, and communication …
C2, that incorporates a number of innovations in computation, memory, and communication …
Theta and gamma power increases and alpha/beta power decreases with memory load in an attractor network model
Abstract Changes in oscillatory brain activity are strongly correlated with performance in
cognitive tasks and modulations in specific frequency bands are associated with working …
cognitive tasks and modulations in specific frequency bands are associated with working …
Nanoscale electronic synapses using phase change devices
The memory capacity, computational power, communication bandwidth, energy
consumption, and physical size of the brain all tend to scale with the number of synapses …
consumption, and physical size of the brain all tend to scale with the number of synapses …