Sparse temporal encoding of visual features for robust object recognition by spiking neurons
… temporal encoding algorithm which exploits both spatial and … model with fully spike
processing, effective combination, and … SNN combined with STDP-based HMAX sparse temporal …
processing, effective combination, and … SNN combined with STDP-based HMAX sparse temporal …
Sequence approximation using feedforward spiking neural network for spatiotemporal learning: Theory and optimization methods
… pathways can approximate a temporal sequence of spike trains … The theoretical derivations
are then investigated with … learning models ie, H-SNN and the proposed network with STDP…
are then investigated with … learning models ie, H-SNN and the proposed network with STDP…
A Study On the Effects of Pre-processing On Spatio-temporal Action Recognition Using Spiking Neural Networks Trained with STDP
M El-Assal, P Tirilly, IM Bilasco - … Conference on Content-Based …, 2021 - ieeexplore.ieee.org
… These two streams are combined by a type of feature fusion … of both the spatial as well as
the temporal information in action … We rely on deriving different data representations from …
the temporal information in action … We rely on deriving different data representations from …
An efficient threshold-driven aggregate-label learning algorithm for multimodal information processing
… a combination of spike time-dependent plasticity (STDP) and anti-… According to the definition
of critical thresholdϑ … supervision signals into both spatial and temporal domains, hence …
of critical thresholdϑ … supervision signals into both spatial and temporal domains, hence …
Training spiking convnets by stdp and gradient descent
… the learning rule local in time (similar to the derivation of Eq. … tested new STDP-based,
spatiotemporally local learning rules … We also tested the combined supervised and unsupervised …
spatiotemporally local learning rules … We also tested the combined supervised and unsupervised …
Multiplexing rhythmic information by spike timing dependent plasticity
… whether STDP can facilitate the multiplexing of information … are given as a linear combination
of the correlations of the pre-… A complete derivation of the stability analysis can be found in …
of the correlations of the pre-… A complete derivation of the stability analysis can be found in …
A new look at spike-timing-dependent plasticity networks for spatio-temporal feature learning
… action-based and convolutional SNN-STDP architectures for … the above derivations have
shown that, under the rate-based … are combined with the problems of information processing. …
shown that, under the rate-based … are combined with the problems of information processing. …
Oscillations via spike-timing dependent plasticity in a feed-forward model
Y Luz, M Shamir - PLoS computational biology, 2016 - journals.plos.org
… We show how the temporal structure of the STDP rule … Furthermore, STDP in combination
with other plasticity rules … Via a local synaptic STDP learning rule, spatial (or stimulus) …
with other plasticity rules … Via a local synaptic STDP learning rule, spatial (or stimulus) …
Using patterns of firing neurons in spiking neural networks for learning and early recognition of spatio-temporal patterns
… updates the synaptic weights based on the STDP [1, 12]. … Equation (3) shows the definition
of our LCS similarity … accuracy for the entire dataset combined. Figure 6 shows the confusion …
of our LCS similarity … accuracy for the entire dataset combined. Figure 6 shows the confusion …
Event-based computation for touch localization based on precise spike timing
… the models presented are optimal for spatio-temporal pattern … output (STMicro LIS344),
combined with a separate 1 MHz … Here we pair STDP for synaptic weights with a STDP rule for …
combined with a separate 1 MHz … Here we pair STDP for synaptic weights with a STDP rule for …