Results 31 to 40 of about 36,106 (159)
Cortical Neurons Adjust the Action Potential Onset Features as a Function of Stimulus Type
Applied Sciences, 2023 Pyramidal neurons and interneurons play critical roles in regulating the neuronal activities in the mammalian cortex, where they exhibit different firing patterns.
Ahmed A. Aldohbeyb, Ahmad O. Alokaily
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Volatile Memory Motifs: Minimal Spiking Neural Networks
IEEE Access, 2023 How spiking neuronal networks encode memories in their different time and spatial scales constitute a fundamental topic in neuroscience and neuro-inspired engineering.
Fabio Schittler Neves, Marc Timme
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Fractionally Predictive Spiking Neurons
CoRR, 2010 Recent experimental work has suggested that the neural firing rate can be interpreted as a fractional derivative, at least when signal variation induces neural adaptation. Here, we show that the actual neural spike-train itself can be considered as the fractional derivative, provided that the neural signal is approximated by a sum of power-law kernels.
S.M. Bohte (Sander) +1 more
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Natural gradient learning for spiking neurons [PDF]
Proceedings of the Neuro-inspired Computational Elements Workshop, 2020 In many normative theories of synaptic plasticity, weight updates implicitly depend on the chosen parametrization of the weights. This problem relates, for example, to neuronal morphology: synapses which are functionally equivalent in terms of their impact on somatic firing can differ substantially in spine size due to their different positions along ...
Kreutzer, Elena +2 more
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Effects of direct current stimulation on synaptic plasticity in a single neuron
Brain Stimulation, 2021 Background: Transcranial direct current stimulation (DCS) has lasting effects that may be explained by a boost in synaptic long-term potentiation (LTP). We hypothesized that this boost is the result of a modulation of somatic spiking in the postsynaptic ...
Forouzan Farahani +4 more
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An Ultrasonic Filterbank with Spiking Neurons [PDF]
2005 IEEE International Symposium on Circuits and Systems, 2005 To support our ongoing work in modeling bat echolocation, a binaural, ultrasonic cochlea-like filter bank has been designed with moderate quality (Q) factor (as high as 65) with spiking neurons that are driven by the filter outputs. The neuron addresses are reported off chip at the time of the spike in an unarbitrated fashion and in current-mode to ...
Timothy K. Horiuchi, Hisham Abdalla
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Brain-inspired nanophotonic spike computing: challenges and prospects
Neuromorphic Computing and Engineering, 2023 Nanophotonic spiking neural networks (SNNs) based on neuron-like excitable subwavelength (submicrometre) devices are of key importance for realizing brain-inspired, power-efficient artificial intelligence (AI) systems with high degree of parallelism and ...
Bruno Romeira +19 more
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Performing Arithmetic Operations with Locally Homogeneous Spiking Neural P Systems
Applied Sciences, 2023 The parallelism of rule execution in membrane computing provides support for improving computational efficiency. Membrane computing models have been applied in many fields.
Xu Zhang +3 more
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Movement Generation with Circuits of Spiking Neurons [PDF]
Neural Computation, 2005 How can complex movements that take hundreds of milliseconds be generated by stereotypical neural microcircuits consisting of spiking neurons with a much faster dynamics? We show that linear readouts from generic neural microcircuit models can be trained to generate basic arm movements. Such movement generation is independent of the arm model used and
Joshi, Prashant, Maass, Wwolfgang
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In Materia Neuron Spiking Plasticity for Sequential Event Processing Based on Dual‐Mode Memristor
Advanced Intelligent Systems, 2022 Artificial neurons are the fundamental elements in neuromorphic computing systems. Studies have revealed neuronal spike‐rate adaptation owing to intrinsic plasticity that neurons will adapt to the spiking patterns and store the events in the background ...
Linbo Shan +9 more
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