Transfer learning, the re-application of previously learned higher-level regularities to novel input, is a key challenge in cognition. While previous empirical studies investigated human transfer learning supervised or reinforcement for explicit knowledge, it unknown whether such occurs during naturally more common implicit and unsupervised and, if so, how related memory consolidation. We compared newly acquired abstract knowledge by extending visual statistical paradigm context. found but...

Transfer learning, the re-application of previously learned higher-level regularities to novel input, is a key challenge in cognition. While previous empirical studies investigated human transfer learning supervised or reinforcement for explicit knowledge, it unknown whether such occurs during naturally more common implicit and unsupervised and, if so, how related memory consolidation. We compared newly acquired abstract knowledge by extending visual statistical paradigm context. found but...

Abstract Transfer learning, the re-application of previously learned higher-level regularities to novel input, is a key challenge in cognition. While previous empirical studies investigated human transfer learning supervised or reinforcement for explicit knowledge, it unknown whether such occurs during naturally more common implicit and unsupervised and, if so, how related memory consolidation. We compared newly acquired abstract knowledge by extending visual statistical paradigm context....

Transfer learning, the re-application of previously learned higher-level regularities to novel input, is a key challenge in cognition. While previous empirical studies investigated human transfer learning supervised or reinforcement for explicit knowledge, it unknown whether such occurs during naturally more common implicit and unsupervised if so, how related memory consolidation. We compared newly acquired abstract knowledge by extending visual statistical paradigm context. found but with...

Transfer learning, the re-application of previously learned higher-level regularities to novel input, is a key challenge in cognition. While previous empirical studies investigated human transfer learning supervised or reinforcement for explicit knowledge, it unknown whether such occurs during naturally more common implicit and unsupervised if so, how related memory consolidation. We compared newly acquired abstract knowledge by extending visual statistical paradigm context. found but with...

While research on visual statistical learning (VSL) is divided into two distinct lines investigating the of temporal and spatial regularities separately, such a distinction does not hold in real-world environments, where types are perpetually intertwined as patterns unfold over time. We investigated interplay between new VSL paradigm, which spatially defined chunks were continuously moving out observer's view. First, participants passively observed stream stimuli task-free setup. Scenes...

Studies of spatial visual statistical learning (SVSL) typically focus on the implicit acquisition co-occurrence-based element chunks oversimplifying complex process structure-based learning. We investigated rules SVSL under stimulus and task structures. In Phase 1 experiment (N=227), observers were exposed to scenes composed either only horizontally or vertically arranged pairs shapes, while in 2, they saw based both horizontal vertical but using a new set shapes. 2AFC tests measured...