Results 31 to 40 of about 17,646 (123)
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
core +2 more sources
Memory and information processing in neuromorphic systems
, 2015 A striking difference between brain-inspired neuromorphic processors and current von Neumann processors architectures is the way in which memory and processing is organized.
Indiveri, Giacomo, Liu, Shih-Chii
core +1 more source
Asynchronous spiking neurons, the natural key to exploit temporal sparsity [PDF]
, 2019 Inference of Deep Neural Networks for stream signal (Video/Audio) processing in edge devices is still challenging. Unlike the most state of the art inference engines which are efficient for static signals, our brain is optimized for real-time dynamic ...
Cavalcante Holanda, Priscila +10 more
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Nano ConvergenceAs there is an increasing need for an efficient solver of combinatorial optimization problems, much interest is paid to the Ising machine, which is a novel physics-driven computing system composed of coupled oscillators mimicking the dynamics of the ...
Young Woong Lee +9 more
doaj +1 more source
Embedding Multi-Task Address-Event- Representation Computation [PDF]
, 2009 Address-Event-Representation, AER, is a communication protocol that is intended to transfer neuronal spikes between bioinspired chips. There are several AER tools to help to develop and test AER based systems, which may consist of a hierarchical ...
Civit Balcells, Antón +3 more
core +1 more source
Results in EngineeringThe resilience and adaptability of civil infrastructure are paramount for societal well-being and economic stability. This paper examines the transformative impact of neuromorphic computing on enhancing the resilience of infrastructure systems and ...
Ali Akbar Firoozi +3 more
doaj +1 more source
Transport characteristics and electrochemical properties of Y3+ doped Li4Ti5O12 as anode material
Cailiao gongcheng, 2022 Li4Ti5-xYxO12 (x=0, 0.05, 0.10, 0.15, 0.20) anode materials were synthesized by ball milling assisted solid-state method used Li2CO3 and anatase TiO2 as raw materials and yttrium nitrate (Y(NO3)3·6H2O) as yttrium source.
WU Bing +7 more
doaj +1 more source
Synthetic retina for AER systems development [PDF]
, 2009 Neuromorphic engineering tries to mimic biology in information processing. Address-Event Representation (AER) is a neuromorphic communication protocol for spiking neurons between different layers.
Civit Balcells, Antón +4 more
core
, 2016 In recent years the field of neuromorphic low-power systems that consume orders of magnitude less power gained significant momentum. However, their wider use is still hindered by the lack of algorithms that can harness the strengths of such architectures.
Cassidy, Andrew +5 more
core +1 more source
An AER Spike-Processing Filter Simulator and Automatic VHDL Generator Based on Cellular Automata [PDF]
, 2011 Spike-based systems are neuro-inspired circuits implementations traditionally used for sensory systems or sensor signal processing. Address-Event- Representation (AER) is a neuromorphic communication protocol for transferring asynchronous events ...
Civit Balcells, Antón +5 more
core +1 more source