A Result of Metastability for an Infinite System of Spiking Neurons
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Statistical Physics"
DOI: 10.1007/s10955-019-02402-4
Abstract: In 2018, Ferrari et al. wrote a paper called "Phase Transition for Infinite Systems of Spiking Neurons" in which they introduced a continuous time stochastic model of interacting neurons. This model has a parameter $\gamma$,… read more here.
Keywords: metastability infinite; system spiking; result metastability; infinite system ... See more keywords
A kernel-based method to calculate local field potentials from networks of spiking neurons
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Neuroscience Methods"
DOI: 10.1016/j.jneumeth.2020.108871
Abstract: BACKGROUND The local field potential (LFP) is usually calculated from current sources arising from transmembrane currents, in particular in asymmetric cellular morphologies such as pyramidal neurons. NEW METHOD Here, we adopt a different point of… read more here.
Keywords: networks spiking; kernel based; local field; based method ... See more keywords
Fluctuation-Dissipation Relations for Spiking Neurons.
Sign Up to like & getrecommendations! Published in 2022 at "Physical review letters"
DOI: 10.1103/physrevlett.129.198101
Abstract: Spontaneous fluctuations and stimulus response are essential features of neural functioning, but how they are connected is poorly understood. I derive fluctuation-dissipation relations (FDR) between the spontaneous spike and voltage correlations and the firing rate… read more here.
Keywords: spiking neurons; relations spiking; dissipation relations; fluctuation dissipation ... See more keywords
Utilizing the Neuronal Behavior of Spiking Neurons to Recognize Music Signals Based on Time Coding Features
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3164440
Abstract: This paper presents a Spiking Neural Network(SNN) architecture to distinguish two musical instruments: piano and violin. The acoustic characteristics of music such as frequency and time convey a lot of information that help humans in… read more here.
Keywords: music; time; piano violin; spiking neurons ... See more keywords
Boost event-driven tactile learning with location spiking neurons
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Neuroscience"
DOI: 10.1109/ijcnn55064.2022.9892074
Abstract: Tactile sensing is essential for a variety of daily tasks. Inspired by the event-driven nature and sparse spiking communication of the biological systems, recent advances in event-driven tactile sensors and Spiking Neural Networks (SNNs) spur… read more here.
Keywords: location; event; driven tactile; model ... See more keywords
A Highly Effective and Robust Membrane Potential-Driven Supervised Learning Method for Spiking Neurons
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2018.2833077
Abstract: Spiking neurons are becoming increasingly popular owing to their biological plausibility and promising computational properties. Unlike traditional rate-based neural models, spiking neurons encode information in the temporal patterns of the transmitted spike trains, which makes… read more here.
Keywords: spike trains; driven; method; learning method ... See more keywords
Minicolumn-Based Episodic Memory Model With Spiking Neurons, Dendrites and Delays.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3213688
Abstract: Episodic memory is fundamental to the brain's cognitive function, but how neuronal activity is temporally organized during its encoding and retrieval is still unknown. In this article, combining hippocampus structure with a spiking neural network… read more here.
Keywords: minicolumn; spiking neurons; retrieval; episodic memory ... See more keywords
Physiological characterization of a rare subpopulation of doublet-spiking neurons in the ferret lateral geniculate nucleus.
Sign Up to like & getrecommendations! Published in 2020 at "Journal of neurophysiology"
DOI: 10.1152/jn.00191.2020
Abstract: Interest in exploring homologies in the early visual pathways of rodents, carnivores, and primates has recently grown. Retinae of these species contain morphologically and physiologically heterogeneous retinal ganglion cells that form the basis for parallel… read more here.
Keywords: visual response; doublet spiking; subpopulation; spiking neurons ... See more keywords
Systematic generation of biophysically detailed models with generalization capability for non-spiking neurons
Sign Up to like & getrecommendations! Published in 2022 at "PLoS ONE"
DOI: 10.1371/journal.pone.0268380
Abstract: Unlike spiking neurons which compress continuous inputs into digital signals for transmitting information via action potentials, non-spiking neurons modulate analog signals through graded potential responses. Such neurons have been found in a large variety of… read more here.
Keywords: systematic generation; capability; models generalization; spiking neurons ... See more keywords
A Delay Learning Algorithm Based on Spike Train Kernels for Spiking Neurons
Sign Up to like & getrecommendations! Published in 2019 at "Frontiers in Neuroscience"
DOI: 10.3389/fnins.2019.00252
Abstract: Neuroscience research confirms that the synaptic delays are not constant, but can be modulated. This paper proposes a supervised delay learning algorithm for spiking neurons with temporal encoding, in which both the weight and delay… read more here.
Keywords: spike train; delay learning; spiking neurons; train kernels ... See more keywords
Engineering Spiking Neurons Using Threshold Switching Devices for High-Efficient Neuromorphic Computing
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Neuroscience"
DOI: 10.3389/fnins.2021.786694
Abstract: Inspired by the human brain, the spike-based neuromorphic system has attracted strong research enthusiasm because of the high energy efficiency and powerful computational capability, in which the spiking neurons and plastic synapses are two fundamental… read more here.
Keywords: engineering spiking; neurons using; based neurons; switching devices ... See more keywords