Results 101 to 110 of about 13,938 (239)
Including STDP to eligibility propagation in multi-layer recurrent spiking neural networks [PDF]
, 2022 Werner van der Veen
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Designing Memristive Materials for Artificial Dynamic Intelligence
Advanced Intelligent Discovery, EarlyView.Key characteristics required of memristors for realizing next‐generation computing, along with modeling approaches employed to analyze their underlying mechanisms. These modeling techniques span from the atomic scale to the array scale and cover temporal scales ranging from picoseconds to microseconds. Hardware architectures inspired by neural networks
Youngmin Kim, Ho Won Jang
wiley +1 more source
Timing is not everything: neuromodulation opens the STDP gate
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
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Multiplexing rhythmic information by spike timing dependent plasticity.
PLoS Computational Biology, 2020 Rhythmic activity has been associated with a wide range of cognitive processes including the encoding of sensory information, navigation, the transfer of information and others.
Nimrod Sherf, Maoz Shamir
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Sisyphus Effect in Pulse Coupled Excitatory Neural Networks with Spike-Timing Dependent Plasticity
, 2014 The collective dynamics of excitatory pulse coupled neural networks with spike timing dependent plasticity (STDP) is studied. Depending on the model parameters stationary states characterized by High or Low Synchronization can be observed. In particular,
Imparato, Alberto +2 more
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Advanced Intelligent Discovery, EarlyView.Memristors based on trimethylsulfonium (phenanthroline)tetraiodobismuthate have been utilised as a nonlinear node in a delayed feedback reservoir. This system allowed an efficient classification of acoustic signals, namely differentiation of vocalisation of the brushtail possum (Trichosurus vulpecula).
Ewelina Cechosz +4 more
wiley +1 more source
Classifying Spike Patterns by Reward-Modulated STDP
, 2014 Reward-modulated learning rules for spiking neural networks have emerged, that have been demonstrated to solve a wide range of reinforcement learning tasks. Despite this, little work has aimed to classify spike patterns by the timing of output spikes.
Gardner, B, Sporea, I, Grüning, A
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eLife, 2017 Spike timing-dependent plasticity (STDP) is under neuromodulatory control, which is correlated with distinct behavioral states. Previously, we reported that dopamine, a reward signal, broadens the time window for synaptic potentiation and modulates the ...
Zuzanna Brzosko +4 more
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Unsupervised Heart-rate Estimation in Wearables With Liquid States and A Probabilistic Readout
, 2017 Heart-rate estimation is a fundamental feature of modern wearable devices. In this paper we propose a machine intelligent approach for heart-rate estimation from electrocardiogram (ECG) data collected using wearable devices.
Adiraju, Prathyusha +9 more
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Advanced Intelligent Systems, EarlyView.This study investigates the neuromorphic plasticity behavior of 180 nm bulk complementary metal oxide semiconductor (CMOS) transistors at cryogenic temperatures. The observed hysteresis data reveal a signature of synaptic behavior in CMOS transistors at 4 K.
Fiheon Imroze +8 more
wiley +1 more source