Numerical results for spike train input
Optimization of output spike train encoding for a spiking neuron based on its spatiotemporal input pattern
... spatiotemporal input pattern has 200 spike ...spatiotemporal input pattern shows that the concentration of the spikes is high in some parts and sparse in other ...spatiotemporal input pattern, ...
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A new multi neuron spike train metric
... will prove better than the ARMV metrics when dealing with real data, the simulated data probably has a different statistical structure than real data. It is noteworthy, however, that both metrics have a similar ...
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NUMERICAL ANALYSIS OF AERO-SPIKE NOZZLE FOR SPIKE LENGTH OPTIMIZATION
... aero spike nozzles and characteristics of its flow field is carried ...out. Numerical analysis of a typical aero spike nozzle with results analysis and discussion on flow characteristics, ...
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Spike train characterization and decoding for neural prosthetic devices
... feature distribution for the same two reach directions. In the above example, we can visually identify from Figure 4-4A that the neurons fire more frequently in the first 100ms in one direction than the other one. The ...
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Neuronal spike train responses in the presence of threshold noise
... The frequency of the drive is given by ω = s ω ω 0 , where ω 0 is the frequency of the unforced neuron (see Deterministic single unit response section above). The analytical results follow closely the simulated ...
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Distortion distribution of neural spike train sequence matching with optogenetics
... distortion results give us insight into the importance of the filter ...target spike generation rate, a longer filter places less emphasis on the precise timing of the ...analytical results (see ...
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Neural spike train synchronization indices: Definitions, interpretations, and applications
... similar quantitative results to those reported here (not shown). Both approaches provide an objective, repeatable procedure for defining the extent of any central peak. An important question is to what extent the ...
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Causal pattern inference from neural spike train data
... technique’s results are affected if its presumptions are not accurately met: “Do conclusions derived from the presumptions seem to hold in a slightly varied situation, too?”, if not, “How do they differ?”, and so ...
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A Framework for Studying Synaptic Plasticity with Neural Spike Train Data
... the results of a weight trajectory for a synapse under additive STDP with a strict threshold on the excitatory postsynaptic ...These results demonstrate that a sparse, time-varying GLM is capable of ...
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Biological Neural Network Structure and Spike Activity Prediction Based on Multi Neuron Spike Train Data
... multi-neuron spike train data can be used as an alternative source to pre- dict the neural network ...the spike co-occurrence ...a spike prediction ...experimental results reveal a ...
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Goodness-of-Fit Tests and Nonparametric Adaptive Estimation for Spike Train Analysis
... paper results from the first one: We have to develop statisti- cal methods in the setting of point processes to estimate functions such as the intensity for the Poisson model or the interaction functions for the ...
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Method for training a spiking neuron to associate input-output spike trains
... the train- ing of a precise input-output behavior to a ...only train a single layer of the SNN, it was argued that in combination with the LSM approach [9], the method allows the processing of ...
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Numerical Simulation of Freak Wave Generation in Irregular Wave Train
... a numerical wave tank is developed based on High Order Spectral (HOS) method considering the wave-maker ...wave train, and its generation process is analyzed via wavelet ...The results show that the ...
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Spike trains statistics in integrate and fire models: exact results.
... characterize spike trains statis- tics in neural networks models where one controls exactly the neural network parameters, the number of involved neu- rons, the number of samples, and the duration of the exper- ...
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Training Spiking Neural Networks to Associate Spatio-temporal Input-output Spike Patterns
... output spike train and the target spike ...the input stimulus is a spatiotemporal spike pattern consisting of many spike ...to train a neuron to map (associate) an in- put ...
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Training spiking neural networks to associate spatio-temporal input-output spike patterns
... output spike train and the target spike ...the input stimulus is a spatiotemporal spike pattern consisting of many spike ...to train a neuron to map (associate) an in- put ...
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Using the Web to Train a Mobile Device Oriented Japanese Input Method Editor
... 4 Experimental Results We have described in detail the training and filter- ing process for constructing lexicons and models. Missing Systems top-1 top-6 top-12 Words Baseline1 84.91 89.11 89.31 532 Baseline2 ...
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Dynamic analysis of the train bridge interaction: an accurate and efficient numerical method
... pendular train at greater speeds. The numerical model was validated with the results of the ambient vibration test and those measured during several passages of the Alfa pendular ...the ...
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Numerical simulation on the aerodynamic performance of the high-speed train under crosswinds
... high-speed train, the lateral aerodynamic performance of high-speed trains has attracted more and more ...high-speed train, computed aerodynamic forces and moments acting on the high-speed train and ...
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Energy-Efficient Models for High-Dimensional Spike Train Classification using Sparse Spiking Neural Networks
... high-dimensional spike train classification to be performed on energy-limited smart ...directly train sparse deep SNNs via ...experimental results on both non-spiking (MNIST and CIFAR-10) and ...
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