Literature DB >> 22201465

Operating characteristics of the implicit learning system supporting serial interception sequence learning.

Daniel J Sanchez1, Paul J Reber.   

Abstract

The memory system that supports implicit perceptual-motor sequence learning relies on brain regions that operate separately from the explicit, medial temporal lobe memory system. The implicit learning system therefore likely has distinct operating characteristics and information processing constraints. To attempt to identify the limits of the implicit sequence learning mechanism, participants performed the serial interception sequence learning (SISL) task with covertly embedded repeating sequences that were much longer than most previous studies: ranging from 30 to 60 (Experiment 1) and 60 to 90 (Experiment 2) items in length. Robust sequence-specific learning was observed for sequences up to 80 items in length, extending the known capacity of implicit sequence learning. In Experiment 3, 12-item repeating sequences were embedded among increasing amounts of irrelevant nonrepeating sequences (from 20 to 80% of training trials). Despite high levels of irrelevant trials, learning occurred across conditions. A comparison of learning rates across all three experiments found a surprising degree of constancy in the rate of learning regardless of sequence length or embedded noise. Sequence learning appears to be constant with the logarithm of the number of sequence repetitions practiced during training. The consistency in learning rate across experiments and conditions implies that the mechanisms supporting implicit sequence learning are not capacity-constrained by very long sequences nor adversely affected by high rates of irrelevant sequences during training.

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Year:  2011        PMID: 22201465     DOI: 10.1037/a0026347

Source DB:  PubMed          Journal:  J Exp Psychol Hum Percept Perform        ISSN: 0096-1523            Impact factor:   3.332


  6 in total

1.  Individual differences in implicit motor learning: task specificity in sensorimotor adaptation and sequence learning.

Authors:  Alit Stark-Inbar; Meher Raza; Jordan A Taylor; Richard B Ivry
Journal:  J Neurophysiol       Date:  2016-11-02       Impact factor: 2.714

2.  Implicit sequence learning using auditory cues leads to modality-specific representations.

Authors:  Y Catherine Han; Paul J Reber
Journal:  Psychon Bull Rev       Date:  2021-10-20

3.  Explicit pre-training instruction does not improve implicit perceptual-motor sequence learning.

Authors:  Daniel J Sanchez; Paul J Reber
Journal:  Cognition       Date:  2012-12-29

4.  Quantifying transfer after perceptual-motor sequence learning: how inflexible is implicit learning?

Authors:  Daniel J Sanchez; Eric N Yarnik; Paul J Reber
Journal:  Psychol Res       Date:  2014-03-26

5.  Here today, gone tomorrow--adaptation to change in memory-guided visual search.

Authors:  Martina Zellin; Markus Conci; Adrian von Mühlenen; Hermann J Müller
Journal:  PLoS One       Date:  2013-03-15       Impact factor: 3.240

6.  Task Integration Facilitates Multitasking.

Authors:  Rita F de Oliveira; Markus Raab; Mathias Hegele; Jörg Schorer
Journal:  Front Psychol       Date:  2017-03-15
  6 in total

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