[HTML][HTML] Neuromodulated spike-timing-dependent plasticity, and theory of three-factor learning rules

N Frémaux, W Gerstner - Frontiers in neural circuits, 2016 - frontiersin.org
Classical Hebbian learning puts the emphasis on joint pre-and postsynaptic activity, but
neglects the potential role of neuromodulators. Since neuromodulators convey information …

Visual perceptual learning and models

B Dosher, ZL Lu - Annual review of vision science, 2017 - annualreviews.org
Visual perceptual learning through practice or training can significantly improve
performance on visual tasks. Originally seen as a manifestation of plasticity in the primary …

Comparing continual task learning in minds and machines

T Flesch, J Balaguer, R Dekker, H Nili… - Proceedings of the …, 2018 - National Acad Sciences
Humans can learn to perform multiple tasks in succession over the lifespan (“continual”
learning), whereas current machine learning systems fail. Here, we investigated the …

Theory and simulation in neuroscience

W Gerstner, H Sprekeler, G Deco - science, 2012 - science.org
Modeling work in neuroscience can be classified using two different criteria. The first one is
the complexity of the model, ranging from simplified conceptual models that are amenable to …

Deep neural networks for modeling visual perceptual learning

LK Wenliang, AR Seitz - Journal of Neuroscience, 2018 - Soc Neuroscience
Understanding visual perceptual learning (VPL) has become increasingly more challenging
as new phenomena are discovered with novel stimuli and training paradigms. Although …

[HTML][HTML] Variability in training unlocks generalization in visual perceptual learning through invariant representations

GL Manenti, AS Dizaji, CM Schwiedrzik - Current Biology, 2023 - cell.com
Stimulus and location specificity are long considered hallmarks of visual perceptual
learning. This renders visual perceptual learning distinct from other forms of learning, where …

[HTML][HTML] The role of alpha-rhythm states in perceptual learning: insights from experiments and computational models

R Sigala, S Haufe, D Roy, HR Dinse… - Frontiers in computational …, 2014 - frontiersin.org
During the past two decades growing evidence indicates that brain oscillations in the alpha
band (~ 10 Hz) not only reflect an “idle” state of cortical activity, but also take a more active …

[HTML][HTML] Improvement of uncorrected visual acuity and contrast sensitivity with perceptual learning and transcranial random noise stimulation in individuals with mild …

R Camilleri, A Pavan, F Ghin, L Battaglini… - Frontiers in …, 2014 - frontiersin.org
Perceptual learning has been shown to produce an improvement of visual acuity (VA) and
contrast sensitivity (CS) both in subjects with amblyopia and refractive defects such as …

The application of online transcranial random noise stimulation and perceptual learning in the improvement of visual functions in mild myopia

R Camilleri, A Pavan, G Campana - Neuropsychologia, 2016 - Elsevier
It has recently been demonstrated how perceptual learning, that is an improvement in a
sensory/perceptual task upon practice, can be boosted by concurrent high-frequency …

[HTML][HTML] Supervised learning occurs in visual perceptual learning of complex natural images

SM Frank, A Qi, D Ravasio, Y Sasaki, EL Rosen… - Current Biology, 2020 - cell.com
There have been long-standing debates regarding whether supervised or unsupervised
learning mechanisms are involved in visual perceptual learning (VPL)[1–14]. However …