Results 21 to 30 of about 75,067 (283)
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
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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
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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
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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
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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
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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.
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Emulation of Spiking Response and Spiking Frequency Property in VCSEL-Based Photonic Neuron
IEEE Photonics Journal, 2016 The dynamical response properties of photonic neuron based on vertical-cavity surface emitting lasers (VCSELs) subject to orthogonal polarized optical pulse injection stimuli have been numerically investigated. Based on the well-known spin flip model, we
Shuiying Xiang, Aijun Wen, Wei Pan
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IEEE Access, 2020 In this second part of a two-part study, we extend to nonlinear synaptic responses a new framework, called Response Surfaces (RSs), for analyzing, designing, and visualizing spiking neurons and networks.
Fatemeh Koohestan-Mahalian +1 more
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Equivalence of Additive and Multiplicative Coupling in Spiking Neural Networks
IEEE Access, 2023 Spiking neural network models characterize the emergent collective dynamics of circuits of biological neurons and help engineer neuro-inspired solutions across fields. Most dynamical systems’ models of spiking neural networks typically exhibit one
Georg Borner +2 more
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Counting to Ten with Two Fingers: Compressed Counting with Spiking Neurons [PDF]
, 2019 We consider the task of measuring time with probabilistic threshold gates implemented by bio-inspired spiking neurons. In the model of spiking neural networks, network evolves in discrete rounds, where in each round, neurons fire in pulses in response to
Hitron, Yael, Parter, Merav
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