Contingency learning is reduced for high conflict stimuli.
Sign Up to like & getrecommendations! Published in 2018 at "Acta psychologica"
DOI: 10.1016/j.actpsy.2016.09.002
Abstract: Recent theories have proposed that contingency learning occurs independent of control processes. These parallel processing accounts propose that behavioral effects originally thought to be products of control processes are in fact products solely of contingency… read more here.
Keywords: conflict; hebbian learning; conflict mediated; mediated hebbian ... See more keywords
The influence of vision on tactile Hebbian learning
Sign Up to like & getrecommendations! Published in 2017 at "Scientific Reports"
DOI: 10.1038/s41598-017-09181-6
Abstract: NMDA-dependent Hebbian learning drives neuronal plasticity in different cortical areas, and across species. In the primary somatosensory cortex (S-I), Hebbian learning is induced via the persistent low-rate afferent stimulation of a small area of skin.… read more here.
Keywords: vision tactile; cortical layers; tactile hebbian; hebbian learning ... See more keywords
Multidimensional Hebbian Learning With Temporal Coding in Neocognitron Visual Recognition
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"
DOI: 10.1109/tsmc.2016.2599200
Abstract: Previous work on Fuskushima’s neocognitron neural network model has mostly focused on binary character recognition, but grayscale images are preferable to binary images in real applications. Image classes of grayscale objects can be formed with… read more here.
Keywords: learning temporal; coding neocognitron; temporal coding; multidimensional hebbian ... See more keywords
Differential Hebbian learning with time-continuous signals for active noise reduction
Sign Up to like & getrecommendations! Published in 2022 at "PLoS ONE"
DOI: 10.1371/journal.pone.0266679
Abstract: Spike timing-dependent plasticity, related to differential Hebb-rules, has become a leading paradigm in neuronal learning, because weights can grow or shrink depending on the timing of pre- and post-synaptic signals. Here we use this paradigm… read more here.
Keywords: noise; continuous signals; time continuous; differential hebbian ... See more keywords
The Influence of the Number of Spiking Neurons on Synaptic Plasticity
Sign Up to like & getrecommendations! Published in 2023 at "Biomimetics"
DOI: 10.3390/biomimetics8010028
Abstract: The main advantages of spiking neural networks are the high biological plausibility and their fast response due to spiking behaviour. The response time decreases significantly in the hardware implementation of SNN because the neurons operate… read more here.
Keywords: snn; number; plasticity; influence number ... See more keywords