Timing is not everything: neuromodulation opens the STDP gate [PDF]
Frontiers in Synaptic Neuroscience, 2010 Spike timing dependent plasticity (STDP) is a temporally specific extension of Hebbian associative plasticity that has tied together the timing of presynaptic inputs relative to the postsynaptic single spike.
Verena Pawlak +3 more
doaj +6 more sources
STDP and STDP variations with memristors for spiking neuromorphic learning systems [PDF]
Frontiers in Neuroscience, 2013 ISSN:1662 ...
Teresa Serrano‐Gotarredona +4 more
openalex +9 more sources
Sensitivity Analysis for additive STDP rule [PDF]
arXiv, 2015 Spike Timing Dependent Plasticity (STDP) is a Hebbian like synaptic learning rule. The basis of STDP has strong experimental evidences and it depends on precise input and output spike timings. In this paper we show that under biologically plausible spiking regime, slight variability in the spike timing leads to drastically different evolution of ...
Sengupta, Subhajit +2 more
arxiv +3 more sources
Synchronization in STDP-driven memristive neural networks with time-varying topology [PDF]
Journal of biological physics (Print), 2023 Synchronization is a widespread phenomenon in the brain. Despite numerous studies, the specific parameter configurations of the synaptic network structure and learning rules needed to achieve robust and enduring synchronization in neurons driven by spike-
Marius E. Yamakou +2 more
semanticscholar +1 more source
Emergence and maintenance of modularity in neural networks with Hebbian and anti-Hebbian inhibitory STDP. [PDF]
PLoS Comput BiolBergoin R +4 more
europepmc +2 more sources
Fusing Event-based Camera and Radar for SLAM Using Spiking Neural Networks with Continual STDP Learning [PDF]
IEEE International Conference on Robotics and Automation, 2022 This work proposes a first-of-its-kind SLAM architecture fusing an event-based camera and a Frequency Modulated Continuous Wave (FMCW) radar for drone navigation.
A. Safa +6 more
semanticscholar +1 more source
Rapid learning of predictive maps with STDP and theta phase precession
bioRxiv, 2023 The predictive map hypothesis is a promising candidate principle for hippocampal function. A favoured formalisation of this hypothesis, called the successor representation, proposes that each place cell encodes the expected state occupancy of its target ...
Tom M George +3 more
semanticscholar +1 more source
IEEE Access, 2022 Neuromorphic hardware is a system with massive potential to enable efficient computing by mimicking the human brain. The novel system processes information using neuron spikes (Action Potentials) and the synaptic connections between neurons are trained ...
Suman Hu +11 more
doaj +1 more source
Simple and complex spiking neurons: perspectives and analysis in a simple STDP scenario [PDF]
Neuromorph. Comput. Eng., 2022 Spiking neural networks (SNNs) are largely inspired by biology and neuroscience and leverage ideas and theories to create fast and efficient learning systems. Spiking neuron models are adopted as core processing units in neuromorphic systems because they
D. Manna +4 more
semanticscholar +1 more source
The effect of STDP temporal kernel structure on the learning dynamics of single excitatory and inhibitory synapses. [PDF]
PLoS ONE, 2014 Spike-Timing Dependent Plasticity (STDP) is characterized by a wide range of temporal kernels. However, much of the theoretical work has focused on a specific kernel - the "temporally asymmetric Hebbian" learning rules. Previous studies linked excitatory
Yotam Luz, Maoz Shamir
doaj +1 more source