Results 21 to 30 of about 36,106 (159)
Parameter estimation of neuron models using in-vitro and in-vivo electrophysiological data
Frontiers in Neuroinformatics, 2015 Spiking neuron models can accurately predict the response of neurons to somatically injected currents if the model parameters are carefully tuned. Predicting the response of in-vivo neurons responding to natural stimuli presents a far more challenging ...
Eoin Patrick Lynch +2 more
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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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npj 2D Materials and Applications, 2023 Accurate, timely and selective detection of moving obstacles is crucial for reliable collision avoidance in autonomous robots. The area- and energy-inefficiency of CMOS-based spiking neurons for obstacle detection can be addressed through the ...
Kartikey Thakar +2 more
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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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PLoS Biology, 2021 The receptive field of a neuron describes the regions of a stimulus space where the neuron is consistently active. Sparse spiking outside of the receptive field is often considered to be noise, rather than a reflection of information processing.
Jai Y Yu, Loren M Frank
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What Causes a Neuron to Spike? [PDF]
Neural Computation, 2003 The computation performed by a neuron can be formulated as a combination of dimensional reduction in stimulus space and the nonlinearity inherent in a spiking output. White noise stimulus and reverse correlation (the spike-triggered average and spike-triggered covariance) are often used in experimental neuroscience to “ask” neurons which dimensions in
Blaise Agüera y Arcas +1 more
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Analysis of the Neuron Dynamics in Thalamic Reticular Nucleus by a Reduced Model
Frontiers in Computational Neuroscience, 2021 Strategically located between the thalamus and the cortex, the inhibitory thalamic reticular nucleus (TRN) is a hub to regulate selective attention during wakefulness and control the thalamic and cortical oscillations during sleep.
Chaoming Wang +5 more
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On the Nonlearnability of a Single Spiking Neuron
Neural Computation, 2005 We study the computational complexity of training a single spiking neuron N with binary coded inputs and output that, in addition to adaptive weights and a threshold, has adjustable synaptic delays. A synchronization technique is introduced so that the results concerning the nonlearn-ability of spiking neurons with binary delays are generalized to ...
Jirí Síma, Jirí Sgall
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