Supervised learning in multilayer spiking neural networks with spike temporal error backpropagation

X Luo, H Qu, Y Wang, Z Yi, J Zhang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
… of combining STDP and anti-STDP to multilayer SNNs. … a synaptic delay learning method
and combine it with FE-Learn to … it to multiple layers through derivation. Experimental results …

Efficient training of supervised spiking neural network via accurate synaptic-efficiency adjustment method

X Xie, H Qu, Z Yi, J Kurths - IEEE transactions on neural …, 2016 - ieeexplore.ieee.org
… In order to simplify the derivation of our algorithm, we set τ1 = 2τ2 in this paper. The STDP
Combining the temporal encoding and phase encoding, a feature-dependent phase encoding …

Robustness of STDP to spike timing jitter

Y Cui, I Prokin, A Mendes, H Berry, L Venance - Scientific reports, 2018 - nature.com
… same definition as above for jittered Δt STDP (Methods): Δt STDP … a large robustness for the
temporal imprecision of Δt STDP . … 2e, we show an example of the combination of stochastic …

BIDL: a brain-inspired deep learning framework for spatiotemporal processing

Z Wu, Y Shen, J Zhang, H Liang, R Zhao, H Li… - Frontiers in …, 2023 - frontiersin.org
… of spatial information in [C, H, W] and temporal information … In BIDL, we introduce a local
learning module, which is a … The R-STDP method we propose consists of the following …

Correlation-based model of artificially induced plasticity in motor cortex by a bidirectional brain-computer interface

G Lajoie, NI Krouchev, JF Kalaska… - PLoS computational …, 2017 - journals.plos.org
… on the combination of axonal delay and the off-width of the potentiation peak of the STDP
rule (… details about our model, numerical simulations and analytical derivations of averaged …

Activeness: A Novel Neural Coding Scheme Integrating the Spike Rate and Temporal Information in the Spiking Neural Network

Z Wang, N Yu, Y Liao - Electronics, 2023 - mdpi.com
… and analysis of the definition and computation method of … -STDP [20] by proposing an
activeness-based triplet-STDP rule … for a set of parameter combinations that achieved a relatively …

Brain inspired sequences production by spiking neural networks with reward-modulated STDP

H Fang, Y Zeng, F Zhao - Frontiers in Computational Neuroscience, 2021 - frontiersin.org
… generate spike pair, but temporarily stores the variations of weights … populations of neurons
combined with the STDP rule formed … According to the definition, the noise intensity of white …

Electrical conditioning for spike-timing-dependent plasticity of neural circuits

S Moorjani, JG McPherson, SI Perlmutter - Encyclopedia of Computational …, 2022 - Springer
… amenable to an analytical derivation of coding efficiency. … been demonstrated unequivocally
that STDPbased electrical-… as local field potentials (LFPs), ECoG signals are a mixture of …

Efficient training of spiking neural networks with temporally-truncated local backpropagation through time

W Guo, ME Fouda, AM Eltawil… - Frontiers in Neuroscience, 2023 - frontiersin.org
… The combined effect of temporal truncation and local training … This training algorithm
benefited from the STDP for local feature … From the definition, a small FoM is desirable. Figure 14 …

Learning cortical hierarchies with temporal Hebbian updates

PV Aceituno, MT Farinha, R Loidl… - Frontiers in Computational …, 2023 - frontiersin.org
… Several of those models propose that local errors are … validated temporal Hebbian learning
rules (eg, STDP) and we use … to inquire whether the specific combination of DH-DFC has any …