Spiking Neurons
Collective phenomena in networks of spiking neurons with synaptic delays
... of spiking neurons but rather are ...of spiking neurons, and there is no clear link between the macroscopic states of the network with the microscopic dynamics of the constituent ...the ...
140
Spiking Neurons: Is coincidence-factor enough for comparing responses with fluctuating membrane voltage?
... of neurons has already been pursued to understand the spiking responses and it is thought that either the firing rate or firing time of individual spikes carries specific information of the neuronal ...
6
MPD-AL: An Efficient Membrane Potential Driven Aggregate-Label Learning Algorithm for Spiking Neurons
... the neurons reset their membrane potential at the desired output spike times, which run contrary to the neuronal dynamics during learning (Memmesheimer et ...
8
From Model Specification to Simulation of Biologically Constrained Networks of Spiking Neurons.
... Abstract A declarative extensible markup language (SpineML) for describing the dynamics, network and experiments of large-scale spiking neural network simula- tions is described which builds upon the NineML ...
18
Spiking neurons : interacting Hawkes processes, mean field limits and oscillations*
... interacting neurons, where the first population is inhibitory on the second and the second excitatory for the first and were oscillations occur due to the structure of the network, ...
14
Preponderance of Late-spiking Neurons in Rat Lateral Amygdala
... Whole-cell recordings were made between 26 and 28 °C using IR-DIC visualization of primary neurons in rat lateral amygdala. Cells were located 89.5 ± 2.1 µm below the slice surface (range: 60 to 120 µm). All ...
7
ANALOG SPIKING NEUROMORPHIC CIRCUITS AND SYSTEMS FOR BRAIN- AND NANOTECHNOLOGY-INSPIRED COGNITIVE COMPUTING
... analog spiking neurons and nanoscale resistive random-access memory (RRAM) using as electronics synapses can provide massive neural network parallelism, high density and online learning capability, and ...
199
Noise reduction using neural lateral inhibition for speech enhancement
... Abstract—Recurrent spiking neurons with lateral inhibition connection play a vital role in human’s brain functional ...bio-inspired spiking neural network ...
6
Online Full Text
... of spiking neurons, the input, output, and internal representation of information, which is the relative timing of individual spikes, are more closely related to those of a biological ...of spiking ...
5
A compact spike-timing-dependent-plasticity circuit for floating gate weight implementation
... [43] J. B. Shyu, G.C. Temes and K. Yao, “Random error in MOS capacitors”, IEEE Journal of Solid State Circuits, vol. sc-17, no. 6, pp. 1070-1076, 1982 [44] B. Zhai, S. Hanson, D. Blaauw and D. Sylvester, “Analysis and ...
12
Solving the Linearly Inseparable XOR Problem with Spiking Neural Networks
... a spiking neural network that would mimic the functionality of logic ...of spiking neurons utilizing receptive fields or routing can successfully solve the XOR linearly inseparable ...
6
FPGA Based Platform for Spiking Neural Network
... of spiking neurons are able to process substantial amount of data using a relatively small number of ...biological neurons, spiking models provide powerful tools for analysis of elementary ...
9
Nonsmooth dynamics in spiking neuron models
... of spiking neural networks are a key part of modern approaches to understanding the dynamics of biological neural ...of neurons and build vast computational compartmental ...of spiking neurons ...
16
MEMBRAIN NEURAL NETWORK FOR VISUAL PATTERN RECOGNITION
... The neuron and link model of MemBrain is very flexible: everything from simple time invari- ant Feed-Forward Networks to Nets with spiking neurons, arbitrary loopback connections and sig- nal runtime delays ...
6
Computing with spiking neuron networks a review
... Spiking Neuron Networks (SNNs) are often referred to as the third generation of neural ...between neurons, taking into account the time of spike ...of neurons and synaptic plasticity, the ...
21
Analog Spiking Neuron with Charge-Coupled Synapses
... ideal spiking neurons if the sum of the inputs, from different dendrites, surpasses a particular threshold then a spike is produced which propagates along the axon to other ...a spiking neuron, which ...
5
Shifting Spike Times or Adding and Deleting Spikes—How Different Types of Noise Shape Signal Transmission in Neural Populations
... Abstract We study a population of spiking neurons which are subject to indepen- dent noise processes and a strong common time-dependent input. We show that the response of output spikes to independent noise ...
35
A mean field model for movement induced changes in the beta rhythm
... We have presented a mechanistic model that exhibits both MRBD and PMBR. This low dimensional model is derived from a corresponding high dimensional spiking network model and maintains a faithful representation of ...
16
Investigating the Effect of Aging and Time on the Fate and Transport of Lead in Artificially Contaminated Tropical soils
... Sensorimotor circuits integrate information from the environment with ongoing motor activity to adapt behaviors in order to accomplish a task [1, 2, 4]. During postural behaviors, resistance reflexes act to oppose ...
271
Electrical properties of insect neurones with spiking and non spiking somata: normal, axotomized, and colchicine treated neurones
... A Three types of axon spikes recorded by a single microelectrode bridge balanced in the soma of FETi at room temperature 22 °C: axon spike A^ evoked by antidromic stimulation of peripher[r] ...
28