Memory Systems: Implicit and Explicit M. Jay Polsgrove and Shannon Walden Q301, Fall 2000, Indiana University.

Slides:



Advertisements
Similar presentations
Chapter 2 The Process of Experimentation
Advertisements

CONSTRAINTS ON IMAGERY I David Pearson Room T10, William Guild Building
Modality-specific interaction between phonology and semantics Gail Moroschan & Chris Westbury Department of Psychology, University of Alberta, Edmonton,
Word Imagery Effects on Explicit and Implicit Memory Nicholas Bube, Drew Finke, Darcy Lemon, and Meaghan Topper.
Is there evidence for the processing of different memory systems by different areas of the brain? Jeff Karpicke, Jessica Roland, Johnie Sanders. Department.
Electrodermal Measures of Face Recognition Iowa State University of Science and Technology Alison L. MorrisDanielle R. Mitchell Nichole Stubbe Anne M.
Does Prior Knowledge Affect Distraction? The Effects of Aging and Music Expertise on Reading with Distraction Elizabeth R. Graham, 1,2 Gabrielle Osborne,
Cross-cortical Coherence during Effector Decision Making Chess Stetson Andersen Laboratory Caltech Sloan-Swartz Meeting 2009/07/28.
Figure 1. A Trial in the Old-Unpleasant IAT Task
RESULTSINTRODUCTION Sexual desire, as the cognitive component of sexual arousal, is thought to be influenced by attention directed, and emotional response,
Hemispheric asymmetries and joke comprehension Coulson, S., & Williams, R. F. (2005) Neuropsychologia, 43,
Experiment 2: MEG Study Materials and Methods: 11 right-handed subjects with 20:20 vision were run. 3 subjects’ data was discarded because of poor performance.
Experience-Dependent Eye Movements, Awareness, and Hippocampus-Dependent Memory Christine N. Smith, Ramona O. Hopkins, and Larry R. Squire The Journal.
Searching for the NCC We can measure all sorts of neural correlates of these processes…so we can see the neural correlates of consciousness right? So what’s.
Post-test review session Tuesday Nov in TH241.
How do we process text with spatial information? Marijn E. Struiksma*, Matthijs L. Noordzij**, Bas F.W. Neggers*** & Albert Postma* *Universiteit Utrecht.
Towards a true neural stance on consciousness by Victor A.F. Lamme (2006) Group 10: Chi-Hang Lau, Anita Leung, Clarisse Miguel, Elisa Tsan, Alistair Wong.
Influence of Word Class Proportion on Cerebral Asymmetries for High and Low Imagery Words Christine Chiarello 1, Connie Shears 2, Stella Liu 3, and Natalie.
CONFIDENCE – ACCURACY RELATIONS IN STUDENT PERFORMANCES We attempted to determine students’ ability to assess comprehension of course material. Students.
Hippocampus and spatial memory A case study of Jon. King, J. A., Trinkler, I., Hartley, T., Vargha-Khadem, F., & Burgess, N. (2004). The Hippocampal Role.
Impaired recognition memory in monkeys after damage limited to the hippocampal region Zola SM, Squire LR, Teng E, Stefanacci L, Buffalo EA, Clark RE Semantic.
IMAGING THE MIND Direct methods –Electrical activity (EEG, MEG) –Metabolic activity (EROS) Indirect methods –Changes in regional Cerebral Blood Flow (rCBF)
Brain Electrical Activity (ERPs) during Memory Encoding and Retrieval Investigators: C. Trott, D. Friedman, W. Ritter, M. Fabiani, J.G. Snodgrass.
Psychology 001 Introduction to Psychology Christopher Gade, PhD Office: 621 Heafey Office hours: F 3-6 and by apt. Class.
MEN ARE SMARTER THAN WOMEN BECAUSE THEIR BRAINS ARE BIGGER By: Scott Thomas & Kaytie Casanova Female Brain Male Brain.
Change blindness and time to consciousness Professor: Liu Student: Ruby.
Introduction Pinker and colleagues (Pinker & Ullman, 2002) have argued that morphologically irregular verbs must be stored as full forms in the mental.
Susceptibility Induced Loss of Signal: Comparing PET and fMRI on a Semantic Task Devlin et al. (in press)
Introduction How do people recognize objects presented in pictorial form? The ERP technique has been shown to be extremely useful in studies where the.
“Illness is in the mind”: Illness Consequences of Schematic Activation Caroline Henderson, PhD.
Parallel and Interactive Memory Systems in the Human Brain and the limitations of fMRI studies.
TEMPLATE DESIGN © Difference in reaction times between true memories and false memories in a recognition task Marta Forai.
James B. Brewer, Zuo Zhao, John D Desmond, Gary H. Glover, John D. E. Gabrieli Thomas Pierce.
Visual Processing in Fingerprint Experts and Novices Tom Busey Indiana University, Bloomington John Vanderkolk Indiana State Police, Fort Wayne Expertise.
Is There Evidence That Memory Is Separated Into Implicit and Explicit Systems? John Chuckalovcak, Megan Rathburn Q301 Brain and Cognition, Indiana University.
Studying Memory Encoding with fMRI Event-related vs. Blocked Designs Aneta Kielar.
Contrasts & Inference - EEG & MEG Himn Sabir 1. Topics 1 st level analysis 2 nd level analysis Space-Time SPMs Time-frequency analysis Conclusion 2.
Training Phase Results The RT difference between gain and loss was numerically larger for the second half of the trials than the first half, as predicted,
Chapter 10 AP Statistics St. Francis High School Fr. Chris.
The Distributed Nature of Self  Questions to keep in mind: - What causes a sense of self? - Does the left hemisphere ‘interpreter’ bring together a unified.
As expected, a large N400 effect was observed for all 3 word types in both experiments, |ts|≥7.69, ps
1 Cross-language evidence for three factors in speech perception Sandra Anacleto uOttawa.
A new neural framework for visuospatial processing Group #4 Alicia Iafonaro Alyona Koneva Barbara Kim Isaac Del Rio.
The effects of working memory load on negative priming in an N-back task Ewald Neumann Brain-Inspired Cognitive Systems (BICS) July, 2010.
Introduction Can you read the following paragraph? Can we derive meaning from words even if they are distorted by intermixing words with numbers? Perea,
Effects of the Hippopotamus on Explicit and Implicit Memory.
Memory for Color in Familiar vs. Non-familiar Images Presented by: Megan Guenin.
LOGO Change blindness in the absence of a visual disruption Professor: Liu Student: Ruby.
In a recognition test, participants typically make more hits and fewer false alarms on low-frequency words compared to high frequency words (A pattern.
Memory Systems in the Brain Erik Avila Michelle Yarbrough Donnell Upchurch Greg Kalkanoff.
D AVIDSSON ET AL L ONG - TERM MEDITATORS SELF - INDUCE HIGH - AMPLITUDE GAMMA SYNCHRONY DURING MENTAL PRACTICE Background: Practitioners understand.
Explicit/Implicit Memory Poster Nick Morse Jon Hoover Greg Marquart.
Without Words for Emotions: Is the emotional processing deficit in alexithymia caused by dissociation or suppression? Christian Sinnott & Dr. Mei-Ching.
‘Potential’ contributions of event-related potentials to the elicitation of different types of knowledge of L2 morphosyntax Kara Morgan-Short University.
Topographic mapping on memory test of verbal/spatial information assessed by event related potentials (ERPs) Petrini L¹², De Pascalis V², Arendt-Nielsen.
Introduction  Recent neuroimaging studies of memory retrieval have reported the activation of a medial and left – lateralised memory network that includes.
Correspondence: Stuart Pugh School of Psychology University of Central Lancashire Preston England United Kingdom PR1 2HE An.
EXPLICIT AND IMPLICIT SECOND LANGUAGE TRAINING Morgan-Short et al.
Metabolic Syndrome and Progression of Mild Cognitive Impairment
The Effects of Imagery on Name Recall
Verifiability and Action verb Processing: An ERP Investigation
The involvement of visual and verbal representations in a quantitative and a qualitative visual change detection task. Laura Jenkins, and Dr Colin Hamilton.
Brainstorm… What is learning? How would you define it?
Word Imagery Effects on Explicit and Implicit Memory
Types of LTM.
Are there separate explicit and implicit memory systems?
Machine Learning for Visual Scene Classification with EEG Data
Biological Science Applications in Agriculture
Neural Correlates Underlying The Effect of Value on Recognition Memory
Episodic retrieval of visually rich items and associations in young and older adults: Evidence from ERPs Kalina Nennstiel & Siri-Maria Kamp Neurocognitive.
Presentation transcript:

Memory Systems: Implicit and Explicit M. Jay Polsgrove and Shannon Walden Q301, Fall 2000, Indiana University

Background Many studies have been done to find cognitive and neuropsychological information regarding memory. Previous research suggest s that memory is not a single entity but is composed of separate systems. This finding is due to quantifiable differences when comparing word types that imply the existence of two types of memory, known as implicit and explicit memory (Squire and Knowlton, 1990, p. 161, Rugg, 1995)). However, there is still a lack of conclusive evidence for the concrete existence of two separate types of memory. One component that is still not understood is the spatial activity of the the brain as it correlates to ERP differences. Findings of two different areas of brain activity for different word types would gain support for two memory systems (McCelland, et al., 1995, and Rugg, 1995). This hypothesis is based on the research that says : 1. Explicit memory is recalled from memory (declarative and conscious). 2. Implicit memory is based on a sense of familiarity (non-declarative and unconscious). In this project we will distinguish between the memory systems, and whether or not there are two separate locations for each.

Methods 1 male subject  2 conditions (related low frequency words and non-related high frequency words)  EEG was recorded on 16 channels during testing  Each condition consisted of 300 words (200 hundred test and 100 distracter.)  Phase one: conditions of test words from each condition were first randomized then presented to subject for 2-second intervals.  Phase two: subject was presented a randomly developed list of all words (test and distracter).  Subject was asked to categorize each word as being either 1) know, 2) remember, or 3) new  A break was provided for the subject after every 50-word block had been presented. ERP Analysis: -Data was collected every 100ms -EEG data was analyzed by Mat Lab -Values for all 3 conditions was recorded for data for 16 channels -Differences between remember and new conditions were determined -ERP data used to represent brain activity -Differences between know and new conditions were determined by ERP data used to represent brain activity

Condition one: There was greater brain activity for the know words than for the remembered words, especially in the initial and final stages ( see figure 1) Used low frequency words. Condition two: There was greater activity for the remembered work than for the know words. Especially in the frontal and occipital lobes (see figure 2) Used high frequency words. Results

Figure 1

Figure 2

The know responses received a greater response in more areas of the brain than the remembered words. Most of the activity seems to be isolated in the frontal lobe for remembered words. For the know words brain activity is taking place over the entire brain. Also touching base with Broca’s and Weinekie’s areas. Overall Analysis (See figures 3 and 4)

Figure 3

Figure 4

Discussion Outline

I. Two types of memory exist a. i mplicit (know), B. explicit (remembered) II. Condition One a. Related words i. House, roof, floor ii. Activate a larger response in known words iii. Low Frequency (Rugg, 1995) III. Condition Two a. Non-related words i. Only, simple, free ii. Activate a larger response for the remembered condition the frontal lobe iii.High frequency (Rugg, 1995)

IV.Overall Differences A. Significant quantitative difference I. Know-new II. Remembered-new B. Varied spatial representation in brain activity I. Know-new 1. Frontal to occipital A. Broca’s-Wernikies area II. Remember-new 1. Frontal A. Broca’s area to frontal

V. Information in this study supports evidence for two memory systems A. Graphic Representation I. Condition 1 1. Greater known II. Condition 2 1.Greater remembered III. Overall 1. Greater activity in know vs. new

Conclusion Our experiment shows that two separate memory systems appear to be active (Squire and Knowlton, 1995). We discovered through process of analysis that each memory system (implicit / explicit) shows strong spatial differences for each condition. Two very prominent areas of the brain that were active during the experiment were Broca’s and Weirnikes area. This suggests words are first processed as language. The remembered words appear then be processed at the frontal lobe, where as the known word signal travels to toward the back of the brain. The differences in these to paths indicates that the remembered (remembered) word is processed and thought of through planning action. While the known (related) is visualized in Wernikies area. (Busey, 2000, p.158). Graphically, the differences between known and remembered words suggest also suggest a differences in memory systems. In this analysis the remembered appears to have a greater brain activity than the known word. Depicting a greater thought for a remembered than known word. Due to the differences in both ERP and spatial values for the related and unrelated word groups used, this study supports the existence of two systems.

1. Increased study number 2. More specific word groups (high vs. low) 3. Specifically target areas of the brain a. Broca’s / Wernikies Further Study

Busey, T. (2000). COGS Q301. Brain and Cognition. Bloomington: Indiana University. McClellan, J., McNaughton, B., and O’Reilly, R., (1995). Why there are complementary learning systems in the hippocampus and neocortex: insights from the successes of failures of connectionist models of learning and memory. Psychological Review 102 (3) Rugg, M. D., (1995). Event-related potential studies of human memory. Ed. Gazzaniga, M.S. et-al. The Cognitive Neurosciences. ( ). Cambridge: The Mit Press. Squire, L. R. and Knowlton, B. J. (1995). Memory, hippocampus, and brain systems. Ed. Gazzaniga, M.S. et-al. The Cognitive Neurosciences. ( ). Cambridge: The Mit Press. References