Category Archive: Presentations

Abstracts of Conference Presentations - Posters and Talks

Apr 08

CNS 2016 — Using a new category learning paradigm to elicit implicit learning

Using a new category learning paradigm to elicit implicit learning Catherine Ives-Louter, Ben Reuveni, Paul J. Reber, Northwestern University Research suggests that both explicit and implicit memory are implicated in visual category learning, which offers a unique opportunity to study the mechanisms and interactions of these memory systems. However, the study of implicit visual category …

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Apr 06

CNS 2016 – Dissociating Strategies in 2D Cat Learning.

Abstract: Human category learning is driven by at least two qualitatively distinct mechanisms. One is based on pre- decisional stimulus-response mappings which integrate information (II) across stimulus dimensions, are learned gradually through reinforcement, and are associated with implicit learning. This is contrasted by rule-based (RB) category learning that is tied to declarative memory. Category structures …

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Mar 08

CNS 2016 (New York)

Using Computational Methods to Characterize Implicit Sequence Learning Poster session D (Mon 8-10am), poster #119 Kelsey R Thompson1, Paul J Reber1;1Northwestern University Implicit learning involves extracting statistical variation from the environment in order to improve behavior. Because knowledge of environmental structure is acquired outside of awareness, it is challenging to determine the precise nature of …

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Mar 08

CNS 2016 Abstract

High value leads to improved explicit recollection, but reduced implicit memory, when learning kaleidoscope images Michael S. Cohen1, Larry Cheng1, Ken A. Paller1, Paul J. Reber1; 1Northwestern University Recognition judgments typically rely on MTL-dependent explicit memory, but in some cases, participants can make accurate guesses seemingly driven by implicit memory (e.g., Voss et al. 2008). …

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May 19

SFN 2015 (Chicago)

Rapid learning of higher-order statistics in implicit sequence learning K. R. Thompson & P. J. Reber Implicit learning involves extracting experienced regularities and statistical variation from the environment in order to improve behavior. Because knowledge of environmental structure is acquired outside of awareness, it is challenging to determine the precise nature of the information that …

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May 19

ICPS 2015 – Poster

Abstract: Implicit learning involves extracting experienced regularities and statistical variation from the environment in order to improve behavior. Because knowledge of environmental structure is acquired outside of awareness, it is challenging to determine the precise nature of the information that is obtained from experience. A commonly used paradigm to study this implicit learning process is …

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Apr 10

CNS 2014 Poster

Nov 30

Cognitive Neuroscience Society 2014

Investigating interactions between working memory and long-term memory systems using the Hebb repetition effect K.L. Gigler & P.J Reber Long-term working memory (LTWM) reflects an interaction between working memory (WM) and long-term memory (LTM) systems in which effective WM capacity is expanded for experts due to knowledge representations in LTM. In the laboratory, this interaction …

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Nov 26

Cognitive Neuroscience Society 2014

Working memory training: An updated meta-analysis of transfer to fluid intelligence measures S.S. Wootan, P.J. Reber & D.K. Mroczek Annual Meeting of the Cognitive Neuroscience Society April, 2014             Working memory (WM) training research has sparked both excitement and skepticism, particularly around the claim that these interventions can result in improved fluid intelligence.  Robust far-transfer …

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Nov 26

Cognitive Neuroscience Society 2014 (Boston)

Using EEG to Identify Neural Signatures of Implicit Sequence Learning Kelsey R. Thompson, Laura Batterink, Ken A. Paller, Paul J. Reber Implicit learning reflects a reshaping of neural circuits through extensive practiceand occurs largely outside of conscious awareness. The Serial Interception Sequence Learning (SISL) task provides a relatively process-pure measure of implicit motor sequence learning. …

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