The Necessity of the Medial Temporal Lobe for Statistical Learning

Anna C. Schapiro, Emma Gregory, Barbara Landau, Michael McCloskey, Nicholas B. Turk-Browne

Research output: Contribution to journalArticle

Abstract

The sensory input that we experience is highly patterned, and we are experts at detecting these regularities. Although the extraction of such regularities, or statistical learning (SL), is typically viewed as a cortical process, recent studies have implicated the medial temporal lobe (MTL), including the hippocampus. These studies have employed fMRI, leaving open the possibility that the MTL is involved but not necessary for SL. Here, we examined this issue in a case study of LSJ, a patient with complete bilateral hippocampal loss and broader MTL damage. In Experiments 1 and 2, LSJ and matched control participants were passively exposed to a continuous sequence of shapes, syllables, scenes, or tones containing temporal regularities in the co-occurrence of items. In a subsequent test phase, the control groups exhibited reliable SL in all conditions, successfully discriminating regularities from recombinations of the same items into novel foil sequences. LSJ, however, exhibited no SL, failing to discriminate regularities from foils. Experiment 3 ruled out more general explanations for this failure, such as inattention during exposure or difficulty following test instructions, by showing that LSJ could discriminate which individual items had been exposed. These findings provide converging support for the importance of the MTL in extracting temporal regularities.

Original languageEnglish (US)
Pages (from-to)1736-1747
Number of pages12
JournalJournal of Cognitive Neuroscience
Volume26
Issue number8
DOIs
StatePublished - 2014

Fingerprint

Temporal Lobe
regularity
Learning
learning
Genetic Recombination
Hippocampus
experiment
Magnetic Resonance Imaging
Control Groups
Statistical Learning
Medial Temporal Lobe
Regularity
damages
expert
instruction
experience
Group

ASJC Scopus subject areas

  • Cognitive Neuroscience
  • Language and Linguistics
  • Linguistics and Language

Cite this

The Necessity of the Medial Temporal Lobe for Statistical Learning. / Schapiro, Anna C.; Gregory, Emma; Landau, Barbara; McCloskey, Michael; Turk-Browne, Nicholas B.

In: Journal of Cognitive Neuroscience, Vol. 26, No. 8, 2014, p. 1736-1747.

Research output: Contribution to journalArticle

Schapiro, AC, Gregory, E, Landau, B, McCloskey, M & Turk-Browne, NB 2014, 'The Necessity of the Medial Temporal Lobe for Statistical Learning', Journal of Cognitive Neuroscience, vol. 26, no. 8, pp. 1736-1747. https://doi.org/10.1162/jocn_a_00578
Schapiro, Anna C. ; Gregory, Emma ; Landau, Barbara ; McCloskey, Michael ; Turk-Browne, Nicholas B. / The Necessity of the Medial Temporal Lobe for Statistical Learning. In: Journal of Cognitive Neuroscience. 2014 ; Vol. 26, No. 8. pp. 1736-1747.
@article{58a378ca583f43a89f245e38fc95432e,
title = "The Necessity of the Medial Temporal Lobe for Statistical Learning",
abstract = "The sensory input that we experience is highly patterned, and we are experts at detecting these regularities. Although the extraction of such regularities, or statistical learning (SL), is typically viewed as a cortical process, recent studies have implicated the medial temporal lobe (MTL), including the hippocampus. These studies have employed fMRI, leaving open the possibility that the MTL is involved but not necessary for SL. Here, we examined this issue in a case study of LSJ, a patient with complete bilateral hippocampal loss and broader MTL damage. In Experiments 1 and 2, LSJ and matched control participants were passively exposed to a continuous sequence of shapes, syllables, scenes, or tones containing temporal regularities in the co-occurrence of items. In a subsequent test phase, the control groups exhibited reliable SL in all conditions, successfully discriminating regularities from recombinations of the same items into novel foil sequences. LSJ, however, exhibited no SL, failing to discriminate regularities from foils. Experiment 3 ruled out more general explanations for this failure, such as inattention during exposure or difficulty following test instructions, by showing that LSJ could discriminate which individual items had been exposed. These findings provide converging support for the importance of the MTL in extracting temporal regularities.",
author = "Schapiro, {Anna C.} and Emma Gregory and Barbara Landau and Michael McCloskey and Turk-Browne, {Nicholas B.}",
year = "2014",
doi = "10.1162/jocn_a_00578",
language = "English (US)",
volume = "26",
pages = "1736--1747",
journal = "Journal of Cognitive Neuroscience",
issn = "0898-929X",
publisher = "MIT Press Journals",
number = "8",

}

TY - JOUR

T1 - The Necessity of the Medial Temporal Lobe for Statistical Learning

AU - Schapiro, Anna C.

AU - Gregory, Emma

AU - Landau, Barbara

AU - McCloskey, Michael

AU - Turk-Browne, Nicholas B.

PY - 2014

Y1 - 2014

N2 - The sensory input that we experience is highly patterned, and we are experts at detecting these regularities. Although the extraction of such regularities, or statistical learning (SL), is typically viewed as a cortical process, recent studies have implicated the medial temporal lobe (MTL), including the hippocampus. These studies have employed fMRI, leaving open the possibility that the MTL is involved but not necessary for SL. Here, we examined this issue in a case study of LSJ, a patient with complete bilateral hippocampal loss and broader MTL damage. In Experiments 1 and 2, LSJ and matched control participants were passively exposed to a continuous sequence of shapes, syllables, scenes, or tones containing temporal regularities in the co-occurrence of items. In a subsequent test phase, the control groups exhibited reliable SL in all conditions, successfully discriminating regularities from recombinations of the same items into novel foil sequences. LSJ, however, exhibited no SL, failing to discriminate regularities from foils. Experiment 3 ruled out more general explanations for this failure, such as inattention during exposure or difficulty following test instructions, by showing that LSJ could discriminate which individual items had been exposed. These findings provide converging support for the importance of the MTL in extracting temporal regularities.

AB - The sensory input that we experience is highly patterned, and we are experts at detecting these regularities. Although the extraction of such regularities, or statistical learning (SL), is typically viewed as a cortical process, recent studies have implicated the medial temporal lobe (MTL), including the hippocampus. These studies have employed fMRI, leaving open the possibility that the MTL is involved but not necessary for SL. Here, we examined this issue in a case study of LSJ, a patient with complete bilateral hippocampal loss and broader MTL damage. In Experiments 1 and 2, LSJ and matched control participants were passively exposed to a continuous sequence of shapes, syllables, scenes, or tones containing temporal regularities in the co-occurrence of items. In a subsequent test phase, the control groups exhibited reliable SL in all conditions, successfully discriminating regularities from recombinations of the same items into novel foil sequences. LSJ, however, exhibited no SL, failing to discriminate regularities from foils. Experiment 3 ruled out more general explanations for this failure, such as inattention during exposure or difficulty following test instructions, by showing that LSJ could discriminate which individual items had been exposed. These findings provide converging support for the importance of the MTL in extracting temporal regularities.

UR - http://www.scopus.com/inward/record.url?scp=84899817654&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84899817654&partnerID=8YFLogxK

U2 - 10.1162/jocn_a_00578

DO - 10.1162/jocn_a_00578

M3 - Article

C2 - 24456393

AN - SCOPUS:84899817654

VL - 26

SP - 1736

EP - 1747

JO - Journal of Cognitive Neuroscience

JF - Journal of Cognitive Neuroscience

SN - 0898-929X

IS - 8

ER -