16 papers · ranked by Valyu relevance
Natasa Ganea, Dominik Garber, Richard N. Aslin, David J. Lewkowicz
This study examined visual statistical learning using EEG-based steady-state visual evoked potentials (SSVEP). Fifty-one adults were exposed to image sequences organized into triplets across three conditions (n = 17 per condition) in which the alignment of category-level and exemplar-level information was manipulated.…
Yiren Ren, Grace Leslie, Thackery Brown, Thiago P. Fernandes
Music is omnipresent in daily life and may interact with critical cognitive processes including memory. Despite music’s presence during diverse daily activities including studying, commuting, or working, existing literature has yielded mixed results as to whether music improves or impairs memory for information…
Bahram Kheradmand, Ian Richardson-Ramos, Sarah Chan, Claudia Nelson + 2 more
'James C. Nieh' 'Guy Bloch'] Title: Simple Summary Honey bees navigate complex environments and make decisions about where to find food. This study investigates whether they can learn a sequence of events to predict future rewards. We trained honey bees to recognize a pattern in which a previously unrewarded visual cue…
Yannick Lagarrigue, Céline Cappe, Jessica Tallet, Christopher R. Fetsch
'Christopher R. Fetsch'] Procedural learning is essential for the effortless execution of many everyday life activities. However, little is known about the conditions influencing the acquisition of procedural skills. The literature suggests that sensory environment may influence the acquisition of perceptual-motor…
Nataliya Strokina, Wenyan Yang, Joni Pajarinen, Nikolay Serbenyuk + 2 more
One of the key challenges in implementing reinforcement learning methods for real-world robotic applications is the design of a suitable reward function. In field robotics, the absence of abundant datasets, limited training time, and high variation of environmental conditions complicate the task further. In this paper…
Lalit Pandey, Donsuk Lee, Samantha M. W. Wood, Justin N. Wood + 1 more
'Tianming Yang'] How do newborns learn to see? We propose that visual systems are space-time fitters, meaning visual development can be understood as a blind fitting process (akin to evolution) in which visual systems gradually adapt to the spatiotemporal data distributions in the newborn’s environment. To test whether…
Sachio Otsuka, Jun Saiki
Time perception is an essential aspect of daily life, and transitional probabilities can be learned based on temporal durations that are independent of individual objects. Previous studies on temporal and spatial visual statistical learning (VSL) have shown that the hippocampus and lateral occipital cortex are engaged…
Marie Bernardo, Yannick Blandin, Géry Casiez, Cécile R. Scotto + 1 more
'Irene Ronga'] The present study characterized the impact of reliable and/or unreliable online visual feedback and their order of presentation on the coding and learning of a motor sequence. Participants practiced a 12-element motor sequence 200 times. During this acquisition phase, two groups received a single type…
Thimal Kempitiya, Damminda Alahakoon, Evgeny Osipov, Sachin Kahawala + 4 more
'Daswin De Silva' 'Gang Hu' 'Weiguo Zhao' 'Zhenxing Zhang'] We propose a new nature- and neuro-science-inspired algorithm for spatiotemporal learning and prediction based on sequential recall and vector symbolic architecture. A key novelty is the learning of spatial and temporal patterns as decoupled concepts where the…
Li-Ann Leow, Jarrad Lum, Sara Johnson, Emily Corti + 1 more
Musicians demonstrate advantages in acquiring motor sequences, showing faster learning and better explicit sequence knowledge than non-musicians. However, it is unclear whether this advantage extends beyond acquisition to the consolidation phase, which is when newly learned skills stabilize and become resistant to…
Anna Jon-And, Markus Jonsson, Johan Lind, Stefano Ghirlanda + 2 more
'Magnus Enquist' 'Ming Bo Cai'] Human language is unique in its compositional, open-ended, and sequential form, and its evolution is often solely explained by advantages of communication. However, it has proven challenging to identify an evolutionary trajectory from a world without language to a world with language…
Rita Donato, Adriano Contillo, Gianluca Campana, Marco Roccato + 3 more
'Óscar F. Gonçalves' 'Andrea Pavan' 'Uwe Ilg'] Background: Visual perceptual learning plays a crucial role in shaping our understanding of how the human brain integrates visual cues to construct coherent perceptual experiences. The visual system is continually challenged to integrate a multitude of visual cues…
Mahmoud Rokaya, Dalia I. Hemdan, Mohammed A. Alzain, El-Sayed Atlam
Introduction A central limitation of existing temporal image analysis and video understanding models lies in their reliance on explicit motion cues, dense supervision, or auxiliary modalities, which constrains their ability to infer latent temporal structure, evolving semantic states, and long-range dependencies from…
Lennart Luettgau, Tore Erdmann, Sebastijan Veselic, Kimberly L. Stachenfeld + 3 more
'Kimberly L. Stachenfeld' 'Zeb Kurth-Nelson' 'Rani Moran' 'Raymond J. Dolan'] Title: Significance Humans possess a remarkable ability to adapt rapidly and flexibly to novel situations, a key aspect of cognition. While past studies detail how we learn from single processes, we have limited understanding of how we…
Yanru Jiang, Rick Dale, Varun Dutt
There is an important challenge in systematically interpreting the internal representations of deep neural networks (DNNs). Existing techniques are often less effective for non-tabular tasks, or they primarily focus on qualitative, ad-hoc interpretations of models. In response, this study introduces a cognitive…
Michael J. Lee, James J. DiCarlo, Tim Christian Kietzmann
A core problem in visual object learning is using a finite number of images of a new object to accurately identify that object in future, novel images. One longstanding, conceptual hypothesis asserts that this core problem is solved by adult brains through two connected mechanisms: 1) the re-representation of incoming…