Results 21 to 30 of about 40,549 (223)

Emulation of Spiking Response and Spiking Frequency Property in VCSEL-Based Photonic Neuron

open access: yesIEEE 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
doaj   +1 more source

Equivalence of Additive and Multiplicative Coupling in Spiking Neural Networks

open access: yesIEEE 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
doaj   +1 more source

A Framework for Analyzing, Designing, and Visualizing Spiking Neural Networks—Part II: Nonlinear Response Surfaces

open access: yesIEEE 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
doaj   +1 more source

Counting to Ten with Two Fingers: Compressed Counting with Spiking Neurons [PDF]

open access: yes, 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
core   +2 more sources

Ultra-low power neuromorphic obstacle detection using a two-dimensional materials-based subthreshold transistor

open access: yesnpj 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
doaj   +1 more source

Natural gradient learning for spiking neurons [PDF]

open access: yesProceedings 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
openaire   +5 more sources

Homogeneous Spiking Neuromorphic System for Real-World Pattern Recognition [PDF]

open access: yes, 2015
A neuromorphic chip that combines CMOS analog spiking neurons and memristive synapses offers a promising solution to brain-inspired computing, as it can provide massive neural network parallelism and density.
Saxena, Vishal, Wu, Xinyu, Zhu, Kehan
core   +3 more sources

Prefrontal cortical activity predicts the occurrence of nonlocal hippocampal representations during spatial navigation.

open access: yesPLoS 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
doaj   +1 more source

Cortical Neurons Adjust the Action Potential Onset Features as a Function of Stimulus Type

open access: yesApplied 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
doaj   +1 more source

Analysis of the Neuron Dynamics in Thalamic Reticular Nucleus by a Reduced Model

open access: yesFrontiers 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
doaj   +1 more source

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