Disruption of Perceptual Learning by a Brief Practice Break

Slides:



Advertisements
Similar presentations
Thomas Kantermann, Myriam Juda, Martha Merrow, Till Roenneberg 
Advertisements

The Dynamic Range of Human Lightness Perception
Volume 24, Issue 12, Pages (June 2014)
Unsupervised statistical learning in newly hatched chicks
Decision Making during the Psychological Refractory Period
Endocannabinoids Control the Induction of Cerebellar LTD
Volume 27, Issue 23, Pages e4 (December 2017)
Pre-constancy Vision in Infants
Somatosensory Precision in Speech Production
A Statistical Description of Plant Shoot Architecture
Unsupervised statistical learning in newly hatched chicks
Beauty Requires Thought
Volume 94, Issue 4, Pages e7 (May 2017)
Sheng Li, Stephen D. Mayhew, Zoe Kourtzi  Neuron 
Bennett Drew Ferris, Jonathan Green, Gaby Maimon  Current Biology 
Volume 86, Issue 1, Pages (April 2015)
A Statistical Description of Plant Shoot Architecture
Jason Samaha, Bradley R. Postle  Current Biology 
Differential Impact of Behavioral Relevance on Quantity Coding in Primate Frontal and Parietal Neurons  Pooja Viswanathan, Andreas Nieder  Current Biology 
Learning Biases Underlie “Universals” in Avian Vocal Sequencing
A Switching Observer for Human Perceptual Estimation
Volume 27, Issue 6, Pages (March 2017)
Young Children Do Not Integrate Visual and Haptic Form Information
José Vergara, Natsuko Rivera, Román Rossi-Pool, Ranulfo Romo  Neuron 
Volume 95, Issue 1, Pages e3 (July 2017)
Volume 27, Issue 16, Pages e6 (August 2017)
Gal Aharon, Meshi Sadot, Yossi Yovel  Current Biology 
Effects of Locomotion Extend throughout the Mouse Early Visual System
Evolution of a Behavioral Shift Mediated by Superficial Neuromasts Helps Cavefish Find Food in Darkness  Masato Yoshizawa, Špela Gorički, Daphne Soares,
Spike Timing-Dependent LTP/LTD Mediates Visual Experience-Dependent Plasticity in a Developing Retinotectal System  Yangling Mu, Mu-ming Poo  Neuron 
Volume 27, Issue 23, Pages e4 (December 2017)
Liu D. Liu, Christopher C. Pack  Neuron 
Volume 18, Issue 24, Pages (December 2008)
Volume 27, Issue 23, Pages e3 (December 2017)
Single-Unit Responses Selective for Whole Faces in the Human Amygdala
Franco Pestilli, Marisa Carrasco, David J. Heeger, Justin L. Gardner 
Independent Category and Spatial Encoding in Parietal Cortex
Integration Trumps Selection in Object Recognition
Heidi C. Meyer, David J. Bucci  Current Biology 
Neuronal Response Gain Enhancement prior to Microsaccades
Guilhem Ibos, David J. Freedman  Neuron 
Volume 25, Issue 5, Pages (March 2015)
Volume 77, Issue 6, Pages (March 2013)
Peng Zhang, Min Bao, Miyoung Kwon, Sheng He, Stephen A. Engel 
Robust Selectivity to Two-Object Images in Human Visual Cortex
Noa Raz, Ella Striem, Golan Pundak, Tanya Orlov, Ehud Zohary 
Gilad A. Jacobson, Peter Rupprecht, Rainer W. Friedrich 
Attention Reorients Periodically
Computer Use Changes Generalization of Movement Learning
Event Boundaries Trigger Rapid Memory Reinstatement of the Prior Events to Promote Their Representation in Long-Term Memory  Ignasi Sols, Sarah DuBrow,
Raghav Rajan, Allison J. Doupe  Current Biology 
Function and Structure of Human Left Fusiform Cortex Are Closely Associated with Perceptual Learning of Faces  Taiyong Bi, Juan Chen, Tiangang Zhou, Yong.
Training Attentional Control in Infancy
Encoding of Stimulus Probability in Macaque Inferior Temporal Cortex
Akinori Mitani, Mingyuan Dong, Takaki Komiyama  Current Biology 
Kristy A. Sundberg, Jude F. Mitchell, John H. Reynolds  Neuron 
Daniela Vallentin, Andreas Nieder  Current Biology 
Humans Can Continuously Optimize Energetic Cost during Walking
Perceptual Classification in a Rapidly Changing Environment
Age-Related Declines of Stability in Visual Perceptual Learning
Jenni Deveau, Daniel J. Ozer, Aaron R. Seitz  Current Biology 
Hippocampal-Prefrontal Theta Oscillations Support Memory Integration
Volume 29, Issue 5, Pages e4 (March 2019)
Impaired Associative Learning with Food Rewards in Obese Women
Memory Reactivation Enables Long-Term Prevention of Interference
Jacqueline R. Hembrook-Short, Vanessa L. Mock, Farran Briggs 
Thomas Kantermann, Myriam Juda, Martha Merrow, Till Roenneberg 
Visual Crowding Is Correlated with Awareness
Volume 23, Issue 11, Pages (June 2013)
Motion-Induced Blindness and Motion Streak Suppression
Presentation transcript:

Disruption of Perceptual Learning by a Brief Practice Break David F. Little, Yu-Xuan Zhang, Beverly A. Wright  Current Biology  Volume 27, Issue 23, Pages 3699-3705.e3 (December 2017) DOI: 10.1016/j.cub.2017.10.032 Copyright © 2017 Elsevier Ltd Terms and Conditions

Figure 1 Frequency Discrimination (A) Frequency-discrimination task. (B) Group mean frequency-discrimination thresholds for the trained groups (n = 8 per group; black circles) and controls (n = 10; open circles) for each of the four training regimens (columns). Thresholds across days are adjusted using pre-test threshold as a covariate [7] and fitted with least-squares regression lines across the log of day number. Axis scales are in log units of day (x axis) and frequency (y axis). Error bars indicate ± SEM. Asterisks denote significant improvement across the training sessions and post-test, as well as between the pre- and post-tests, for trained listeners (p ≤ 0.008). (C) Individual pre-test (x axis) versus post-test (y axis) thresholds (symbols) on a log scale fitted with least-squares regression lines separately for trained listeners (solid lines; black circles; gray circles for day 7 thresholds) and controls (dashed lines; open circles). Asterisks denote significantly lower post-test thresholds for trained listeners than controls, using pre-test threshold as a covariate (p = 0.001). The tilde (“∼”) indicates a trend for significance for day 7 thresholds versus pre-test thresholds (p = 0.070). (D) Individual frequency-discrimination thresholds across days for each of the four trained groups. Axis scales are in log units. Solid lines indicate significant learning from day 1 to the post-test (p ≤ 0.05), dashed lines significant learning from day 1 to day 7, and dotted lines no significant learning (indicate a non-significant result). Current Biology 2017 27, 3699-3705.e3DOI: (10.1016/j.cub.2017.10.032) Copyright © 2017 Elsevier Ltd Terms and Conditions

Figure 2 Non-native Phonetic Classification (A) Task stimuli. Each tick mark designates the VOT of one of the 15 different consonant-vowel stimuli. Dotted lines demarcate the category boundaries for the non-native (“mba” versus “ba”) and native (“ba” versus “pa”) phonetic contrasts, as indicated by the feedback provided during training on day 1. (B) Mean (black circles) and individual (gray circles) slopes for the non-native category boundary between negative (“mba”) and near zero (“ba”) VOTs at the post-test assessed without feedback on day 2 for the two trained groups (n = 5 per group). The slope of the function is scaled such that the closer the value is to zero, the sharper the category boundary. Error bars indicate ± SEM. Asterisks denote a significant difference between the post-test and chance performance and between the post-test of the two trained groups (p ≤ 0.030). Current Biology 2017 27, 3699-3705.e3DOI: (10.1016/j.cub.2017.10.032) Copyright © 2017 Elsevier Ltd Terms and Conditions

Figure 3 Schematic Diagram of the Proposed Trial Integration Process Practice trials (dark gray rectangles) integrate (thick black line) in a transient memory store and only stabilize in a store that lasts across days when integration surpasses a learning threshold (light gray bar). Given insufficient training within the transient-memory period, the trials do not persist across days (left panel), but with sufficient training, the trials are retained (middle panel). According to this idea, the 30-min break disrupts learning because the transient memory has largely reset during this break (right panel). Current Biology 2017 27, 3699-3705.e3DOI: (10.1016/j.cub.2017.10.032) Copyright © 2017 Elsevier Ltd Terms and Conditions