[PDF][PDF] Learning event-based spatio-temporal feature descriptors via local synaptic plasticity: a biologically-realistic perspective of computer vision

A Safa, H Sahli, A Bourdoux, I Ocket… - … . URL: https://arxiv …, 2021 - lirias.kuleuven.be
… The push-pull spiking outputs are then combined as a single-ended spike … STDP weight
change is well explained by the rate-based term of (17). Therefore, in the rest of our derivation, …

Modified STDP triplet rule significantly increases neuron training stability in the learning of spatial patterns

D Krunglevicius - Advances in Artificial Neural Systems, 2016 - Wiley Online Library
… of temporal code is a spatial pattern. Input from multiple afferent neurons in a short
temporal … not the case in a Poisson noise and spatial pattern mixture. Moreover, the Spike-Response …

Rapid learning of predictive maps with STDP and theta phase precession

TM George, W de Cothi, KL Stachenfeld, C Barry - Elife, 2023 - elifesciences.org
… (STDP), a form of Hebbian learning, acting on temporally … found that the combination of
STDP and phase precession … This definition allows for online flexibility in the size of dt, as …

GLSNN: A multi-layer spiking neural network based on global feedback alignment and local STDP plasticity

D Zhao, Y Zeng, T Zhang, M Shi, F Zhao - Frontiers in Computational …, 2020 - frontiersin.org
… feedback connections combined with the local STDP plasticity rule are combined to directly
model we use for temporal information processing is the Leaky integrate-and-fire (LIF) model

Bio-inspired model based on global-local hybrid learning in spiking neural network

Y Wang, X Wang, H Qu, Y Zhang… - … Joint Conference on …, 2021 - ieeexplore.ieee.org
… Similar to the above derivation, the detail of the derivation of the weight updating in … SNN
model and a GlobalLocal Hybrid STDP (GLHSTDP) learning algorithm. By using a combination

Modeling learnable electrical synapse for high precision spatio-temporal recognition

Z Wu, Z Zhang, H Gao, J Qin, R Zhao, G Zhao, G Li - Neural Networks, 2022 - Elsevier
… of DL, is also deriving brand new inspirations from them. Being … spatial domain is 2D images,
therefore the 1D ECLIF model … As a result, there are many combinations of these sub-types, …

STDP-based associative memory formation and retrieval

HG Yoon, P Kim - Journal of Mathematical Biology, 2023 - Springer
… where K is a temporal kernel characterizing the intensity of neural weight updates from inter-…
3 largely remains valid for the full model. In Sect. 4.2, we combine the full model (4) with a …

STDP forms associations between memory traces in networks of spiking neurons

C Pokorny, MJ Ison, A Rao, R Legenstein… - Cerebral …, 2020 - academic.oup.com
… of weights and temporal dynamics of our model so that the … According to this definition, HUs
also included rare cases of … network model, we investigated after which combined pattern

Synaptic learning with augmented spikes

Q Yu, S Song, C Ma, L Pan… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
STDP enables neurons to process information in an unsupervised way [33], but with a …
efficient temporal benefit unexploited. The gap between ANNs and SNNs motivates us to combine

A neuro-inspired system for online learning and recognition of parallel spike trains, based on spike latency, and heterosynaptic STDP

G Susi, L Antón Toro, L Canuet, ME López… - Frontiers in …, 2018 - frontiersin.org
… the mapping from spatio-temporal stimuli to such temporal feature space, identifying a class
… branches (lateral excitation) combined with the hetherosynaptic STDP make it possible w(D …