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Short-term memory
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321	Perception & Psychophysics 1988, 44 (4), [removed]Familiarity and visual change detection HAROLD PASHLER University of California, San Diego, La Jolla, California Add to Reading List Source URL: www.pashler.com Language: English - Date: 2007-04-09 15:33:05 Memory Mental processes Vision Neuropsychological assessment Visual short-term memory Iconic memory Recall Mental chronometry Attention Mind Cognitive science Psychology
322	Psychological Review 2009, Vol. 116, No. 4, 986 –997 © 2009 American Psychological Association 0033-295X/09/$12.00 DOI: [removed]a0017097 Add to Reading List Source URL: www.cnbc.cmu.edu Language: English - Date: 2009-11-09 11:04:30 Mental processes Natural language processing Recall Bigram Chunking Short-term memory Simulation Working memory Mind Memory Cognitive science
323	Target-Distractor Phase and Selective Attention: Idle Resources do the Devil’s Work? Jonathan Levy and Harold Pashler University of California, San Diego Add to Reading List Source URL: www.pashler.com Language: English - Date: 2007-04-09 17:17:15 Cognitive science Neuropsychological assessment Perception Neuropsychology Visual search Short-term memory Recall Attention Eriksen flanker task Mind Psychology Mental processes
324	Psychological Review 2011, Vol. 118, No. 2, 280 –315 © 2011 American Psychological Association 0033-295X/11/$12.00 DOI: [removed]a0022494 Add to Reading List Source URL: www.psych.unimelb.edu.au Language: English - Date: 2013-03-22 00:13:35 Psychology Intention Recognition memory Encoding Recall Short-term memory Economic model Exemplar Analogical modeling Mind Mental processes Memory
325	SPEECH RECOGNITION WITH DEEP RECURRENT NEURAL NETWORKS Alex Graves, Abdel-rahman Mohamed and Geoffrey Hinton Department of Computer Science, University of Toronto ABSTRACT Recurrent neural networks (RNNs) are a powerful Add to Reading List Source URL: deeplearning.cs.cmu.edu Language: English - Date: 2013-10-28 11:21:25 Neuroscience Long short term memory Recurrent neural network Backpropagation through time Speech recognition Backpropagation Types of artificial neural networks Neural networks Cybernetics Science
326	Behav Res[removed]:1148–1156 DOI[removed]s13428[removed]Numerical predictions for serial, parallel, and coactive logical rule-based models of categorization response time Daniel R. Little Add to Reading List Source URL: www.psych.unimelb.edu.au Language: English - Date: 2013-03-22 00:07:06 Vision Memory Perception Computational neuroscience Mathematical psychology Random walk Visual short-term memory Mental chronometry Economic model Mind Cognitive science Science
327	PDF Document Add to Reading List Source URL: deeplearning.cs.cmu.edu Language: English - Date: 2013-09-30 14:02:30 Cybernetics Control theory Backpropagation through time Applied mathematics Neural networks Long short term memory Science
328	LONG SHORT-TERM MEMORY Neural Computation 9(8):1735{1780, 1997 Sepp Hochreiter Fakultat fur Informatik Add to Reading List Source URL: deeplearning.cs.cmu.edu Language: English - Date: 2013-09-18 08:37:13 Statistics Machine learning Econometrics Long short term memory Backpropagation through time Backpropagation Sepp Hochreiter Flip-flop Kalman filter Neural networks Cybernetics Computational neuroscience
329	5-1 Probably the first person to attempt to measure short-term memory directly was a London schoolmaster, Joseph Jacobs, who was interested in measuring the mental capacity of his pupils. He (1)devised the (2)technique Add to Reading List Source URL: www.daigakuin.jp Language: English - Date: 2009-03-21 20:25:17 Psychology Memory Neuropsychological assessment Recall Short-term memory Learning Modality effect Encoding Mind Mental processes Cognitive science
330	PDF Document Add to Reading List Source URL: www.daigakuin.jp Language: English - Date: 2009-03-21 20:25:17 Cognitive science Neuropsychological assessment Recall Short-term memory Learning Mnemonics Modality effect Mind Mental processes Memory