Results 51 to 60 of about 36,106 (159)

Research on the Spiking Dynamics and Controlled Transmission of Semiconductor Ring Laser Photonic Neurons

IEEE Access
In this paper, we conduct a comprehensive numerical study on the spiking dynamics characteristics and communication between unidirectionally coupled photonic neurons based on semiconductor ring lasers (SRLs).
Xueting Zhang, Penghua Mu, Junyan Tao, Ningfei Dong   +3 more
doaj   +1 more source

Contribution of LFP dynamics to single neuron spiking variability in motor cortex during movement execution

Frontiers in Systems Neuroscience, 2015
Understanding the sources of variability in single-neuron spiking responses is an important open problem for the theory of neural coding. This variability is thought to result primarily from spontaneous collective dynamics in neuronal networks.
Michael Everett Rule, Carlos eVargas-Irwin, John P. Donoghue, Wilson eTruccolo   +3 more
doaj   +1 more source

Weak electric fields promote resonance in neuronal spiking activity: Analytical results from two-compartment cell and network models. [PDF]

PLoS Computational Biology, 2019
Transcranial brain stimulation and evidence of ephaptic coupling have sparked strong interests in understanding the effects of weak electric fields on the dynamics of neuronal populations. While their influence on the subthreshold membrane voltage can be
Josef Ladenbauer, Klaus Obermayer
doaj   +1 more source

Monolithic Integration of an FP-SA Optical Spiking Neuron and SOA Synapse by Photonic Crystals

Photonics
We demonstrate a monolithically integrated photonic chip that combines an optical spiking neuron with a tunable synaptic element. The spiking neuron is realized using a quantum-well Fabry–Perot laser integrated with a saturable absorber (FP-SA), while a ...
Haodong Xuan, Guangliang Sun, Yang Chen, Ningning Chen, Zeyu Wang, Hailing Wang, Wanhua Zheng   +6 more
doaj   +1 more source

Spiking Neurons and the First Passage Problem

Neural Computation, 2011
We derive a model of a neuron’s interspike interval probability density through analysis of the first passage problem. The fit of our expression to retinal ganglion cell laboratory data extracts three physiologically relevant parameters, with which our model yields input-output features that conform to laboratory results. Preliminary analysis suggests
Sirovich, Lawrence, Knight, Bruce
openaire   +4 more sources

A nanofluidic oscillating neuron

Nature Communications
Nanofluidics provide a transformative platform for creating neuron emulates, yet replicating their complex spiking dynamics remains challenging. Herein, we report a nanofluidic oscillating neuron (FON) which could emulate spiking-form encoding functions ...
Tianyi Xiong, Xiulan He, Boyang Xie, Guangguo Guo, Yueru Zhao, Ying Liu, Cong Pan, Yanan Jiang, Wenjie Ma, Fei Wu, Ping Yu, Lanqun Mao   +11 more
doaj   +1 more source

Visual focus with spiking neurons [PDF]

, 2008
Attentional focusing can be implemented with a neural field, which uses a discharge rate code. As an alternative, we propose in the present work an implementation based on spiking neurons. Such implementation will allow to investigate the possible contribution of a spike time based code with a network of leaky integrate-and-fire neurons.
Chevallier, Sylvain, Tarroux, Philippe
openaire   +1 more source

Multilayer magnetic skyrmion devices for spiking neural networks

Neuromorphic Computing and Engineering
Spintronic devices -based on magnetic solitons, such as the domain wall motion and the skyrmions, have shown a significant potential for applications in energy-efficient data storage and beyond CMOS computing architectures.
Aijaz H Lone, Daniel N Rahimi, Hossein Fariborzi, Gianluca Setti   +3 more
doaj   +1 more source

Spiking Activity of a LIF Neuron in Distributed Delay Framework

International Journal of Interactive Multimedia and Artificial Intelligence, 2016
Evolution of membrane potential and spiking activity for a single leaky integrate-and-fire (LIF) neuron in distributed delay framework (DDF) is investigated.
Saket Kumar Choudhary, Karan Singh, Vijender Kumar Solanki   +2 more
doaj  

Spiking neurons from tunable Gaussian heterojunction transistors

Nature Communications, 2020
Designing high performance, scalable, and energy efficient spiking neural networks remains a challenge. Here, the authors utilize mixed-dimensional dual-gated Gaussian heterojunction transistors from single-walled carbon nanotubes and monolayer MoS2 to ...
Megan E. Beck, Ahish Shylendra, Vinod K. Sangwan, Silu Guo, William A. Gaviria Rojas, Hocheon Yoo, Hadallia Bergeron, Katherine Su, Amit R. Trivedi, Mark C. Hersam   +9 more
doaj   +1 more source