PPT-False Memory in Images and Words

By Kelly Bauer Lindsay Marsh and Jackie Martin What are false memories False memories occur when a person believes they saw something that was never presented to them Types of distracters normal versus special. Lesson 1: Cat Got Your Tongue?. Words Relating to Using Few Words or Being Quiet. Where did that expression come from, anyway?. The . saying stems from a custom in the Middle East hundreds of years ago, when it was common to punish a . Berger. *. , McKinley. +. , . Blumofe. *. , Wilson. *. *. UT Austin, . +. Massachusetts. ASPLOS 2000. Presented by . Bogdan. . Simion. Dynamic Memory Allocation. Highly parallel applications common. Memory. How is information stored in LTM?. Information is stored based on meaning.. Information to be remembered collects together because it is related, so meaning of one concept is derived from its relationship to other concepts. . and. Danilo Croce. University. . of. . Rome. “Tor Vergata”. Roma, Italy. Reading what Machines . ‘Think’. Prelude. Brain. . Activation. Pattern . Recognizer. chair. Tom . Mitchell. , . 5.5.16. Part . 7. Construction. 3. Memory Construction. While tapping our memories, we . fill . in missing . info . to make our recall more . coherent. Misinformation Effect: . incorporating . misleading information into one's memory of an . Encoding & Retrieval . Exceptional Memory. Overview. Causes of Forgetting. Interactions between encoding and retrieval . Exceptional memory performance. Stage theory of memory. Sensory Memory. Decay. Encoding & Retrieval . Exceptional Memory. Overview. Causes of Forgetting. Interactions between encoding and retrieval . Exceptional memory performance. Stage theory of memory. Sensory Memory. Decay. Information is stored based on meaning.. Information to be remembered collects together because it is related, so meaning of one concept is derived from its relationship to other concepts. Example Semantic Network. Topics. Non-numerical algorithms. Parallel breadth-first search (BFS). Texture memory. GPUs – good for many numerical calculations…. What about “non-numerical” problems?. Graph Algorithms. Graph Algorithms. Topics. Non-numerical algorithms. Parallel breadth-first search (BFS). Texture memory. GPUs – good for many numerical calculations…. What about “non-numerical” problems?. Graph Algorithms. Graph Algorithms. Two types of Multimedia Learning Environments. Virtual Learning. Environments. Windows On. The World. Multimedia Environments. Immersive. Best Explained by. Social Constructivist Theory. Best Explained in Terms of. Marcia K. Johnson and Carol L. Raye and planning, deliberate imaging, actively searching for apiece of information and drawing conclusions). Similarly,on average, the memories from a specific external Forgetting, Memory Construction, and Improving Memory. Learning Targets. 33-1. Explain why we forget.. 33-2. . Discuss how misinformation, imagination, and source amnesia influence our memory construction, and describe how we decide whether a memory is real or false.. Baddeley & Hitch (1974). Arose from criticisms of the . MSM. – that . STM. isn’t unitary. You add 21 and 12 and hold that answer in the working memory before adding 52. E.g. 21 + 12 + 52. ‘Working Memory’ refers to that bit of memory that you use when working on a complex task which requires you to store information as you go along.