Results 11 to 20 of about 40,549 (223)
Glutamate Gated Spiking Neuron Model [PDF]
Annals of Neurosciences, 2014 Biological neuron models mainly analyze the behavior of neural networks. Neurons are described in terms of firing rates viz an analog signal.The Izhikevich neuron model is an efficient, powerful model of spiking neuron. This model is a reduction of Hodgkin-Huxley model to a two variable system and is capable of producing rich firing patterns for many ...
Deka, Krisha M, Roy, Soumik
openaire +2 more sources
Self-Reset Schemes for Magnetic Domain Wall-Based Neuron
IEEE Journal on Exploratory Solid-State Computational Devices and Circuits, 2022 Spintronic artificial spiking neurons are promising due to their ability to closely mimic the leaky integrate-and-fire (LIF) dynamics of the biological LIF spiking neuron. However, the neuron needs to be reset after firing.
Debasis Das, Xuanyao Fong
doaj +1 more source
Spiking neuron network Helmholtz machine [PDF]
Frontiers in Computational Neuroscience, 2015 An increasing amount of behavioral and neurophysiological data suggests that the brain performs optimal (or near-optimal) probabilistic inference and learning during perception and other tasks. Although many machine learning algorithms exist that perform inference and learning in an optimal way, the complete description of how one of those algorithms ...
Pavel eSountsov +3 more
openaire +3 more sources
Transfer Learning Algorithm and Software Framework Based on Spiking Neuron Network [PDF]
Jisuanji gongcheng, 2020 Spiking Neuron Network(SNN) uses spike sequence for data processing,so it has the excellent characteristic of low power consumption.However,due to the immaturity of learning algorithm,the multilayer network training has difficulty in convergence ...
SHANG Yingjie, DONG Liya, HE Hu
doaj +1 more source
Extending the Functional Subnetwork Approach to a Generalized Linear Integrate-and-Fire Neuron Model
Frontiers in Neurorobotics, 2020 Engineering neural networks to perform specific tasks often represents a monumental challenge in determining network architecture and parameter values.
Nicholas S. Szczecinski +2 more
doaj +1 more source
Frequency-switched photonic spiking neurons
Optics Express, 2022 We propose an approach to generate neuron-like spikes of vertical-cavity surface-emitting laser (VCSEL) by multi-frequency switching. A stable temporal spiking sequence has been realized both by numerical simulations and experiments with a pulse width of sub-nanosecond, which is 8 orders of magnitude faster than ones from biological neurons.
Yao, Lu +3 more
openaire +2 more sources
Architecture and Design of a Spiking Neuron Processor Core Towards the Design of a Large-scale Event-Driven 3D-NoC-based Neuromorphic Processor [PDF]
SHS Web of Conferences, 2020 Neuromorphic computing tries to model in hardware the biological brain which is adept at operating in a rapid, real-time, parallel, low power, adaptive and fault-tolerant manner within a volume of 2 liters.
Ogbodo Mark +3 more
doaj +1 more source
Building Logistic Spiking Neuron Models Using Analytical Approach
IEEE Access, 2019 Spiking neuron models are inspired by biological neurons. They can simulate the neuronal activities of the mammalian brains, such as spiking (integrator) and periodic oscillation (resonator).
Lei Zhang
doaj +1 more source
Uncovering Neuronal Networks Defined by Consistent Between-Neuron Spike Timing from Neuronal Spike Recordings [PDF]
eneuro, 2018 AbstractIt is widely assumed that distributed neuronal networks are fundamental to the functioning of the brain. Consistent spike timing between neurons is thought to be one of the key principles for the formation of these networks. This can involve synchronous spiking or spiking with time delays, forming spike sequences when the order of spiking is ...
Roemer van der Meij, Bradley Voytek
openaire +2 more sources
Neuronal Communication: Firing Spikes with Spikes [PDF]
Current Biology, 2012 Spikes of single cortical neurons can exert powerful effects even though most cortical synapses are too weak to fire postsynaptic neurons. A recent study combining single-cell stimulation with population imaging has visualized in vivo postsynaptic firing in genetically identified target cells.
openaire +2 more sources