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Lucky-luc at 18:19, 10 June 2024

2024-06-10T18:19:38Z

Lucky-luc at 18:18, 10 June 2024

2024-06-10T18:18:31Z

Lucky-luc at 16:48, 10 June 2024

2024-06-10T16:48:56Z

Lucky-luc at 16:48, 10 June 2024

2024-06-10T16:48:37Z

Lucky-luc at 16:48, 10 June 2024

2024-06-10T16:48:22Z

Lucky-luc at 16:48, 10 June 2024

2024-06-10T16:48:00Z

Lucky-luc at 16:47, 10 June 2024

2024-06-10T16:47:34Z

Lucky-luc at 16:47, 10 June 2024

2024-06-10T16:47:15Z

Lucky-luc at 16:46, 10 June 2024

2024-06-10T16:46:42Z

Lucky-luc at 16:45, 10 June 2024

2024-06-10T16:45:57Z

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 {| style="margin: 0 auto;" cellpadding="20"
-|[[File:cmr_neuro.png|none|thumb|400px|''Fig. 1:'' '''The context-maintenance and retrieval model.''' A. Schematic of CMR. When an item is studied its feature representation (fi) is activated on F. The feature representation contains both item and source features (e.g., size / animacy judgment). An associative weight matrix (MFC) allows each item to update a context representation that contains the item and source features of recently studied items. During study, the features of each item are associated with coactive context elements. During recall, the context representation reactivates (through MCF) the features of recently studied items. B. Hypothesized interactions between prefrontal cortex, temporal cortex, and medial temporal lobe during memory encoding and retrieval predicted by CMR.]]
+|[[File:cmr_neuro.png|none|thumb|370px|''Fig. 1:'' '''The context-maintenance and retrieval model.''' A. Schematic of CMR. When an item is studied its feature representation (fi) is activated on F. The feature representation contains both item and source features (e.g., size / animacy judgment). An associative weight matrix (MFC) allows each item to update a context representation that contains the item and source features of recently studied items. During study, the features of each item are associated with coactive context elements. During recall, the context representation reactivates (through MCF) the features of recently studied items. B. Hypothesized interactions between prefrontal cortex, temporal cortex, and medial temporal lobe during memory encoding and retrieval predicted by CMR.]]
-|[[File:cmr2_data.png|center|thumb|600px|''click to enlarge''<br /><br />''Fig. 2:'' '''Data and CMR2 Simulations.''' A. This curve shows the probability of making a recall to serial position i+lag immediately following recall of serial position ''i''—that is, the conditional-response probability (CRP) as a function of lag. CMR2 captures older adults' temporal contiguity deficit. B. Release from proactive interference (PI). Participants studied lists of three items, each drawn from the same semantic category. After three lists from the same semantic category, subjects were then presented with a new set of three lists from a different semantic category. Top: Data from Loess (1967), note the scalloped pattern: performance declines across same-category lists and improves when a new category is presented. Bottom: CMR2 simulations capture the release from PI pattern. C. CMR2 simulations of hit and false alarm rates in recognition. D. As predicted by CMR2, recognition false alarm rates correlate with free recall intrusion rates. ]]
+|[[File:cmr2_data.png|center|thumb|550px|''click to enlarge''<br /><br />''Fig. 2:'' '''Data and CMR2 Simulations.''' A. This curve shows the probability of making a recall to serial position i+lag immediately following recall of serial position ''i''—that is, the conditional-response probability (CRP) as a function of lag. CMR2 captures older adults' temporal contiguity deficit. B. Release from proactive interference (PI). Participants studied lists of three items, each drawn from the same semantic category. After three lists from the same semantic category, subjects were then presented with a new set of three lists from a different semantic category. Top: Data from Loess (1967), note the scalloped pattern: performance declines across same-category lists and improves when a new category is presented. Bottom: CMR2 simulations capture the release from PI pattern. C. CMR2 simulations of hit and false alarm rates in recognition. D. As predicted by CMR2, recognition false alarm rates correlate with free recall intrusion rates. ]]
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-| [[File:Ecog-thumb.png|frameless|left|border|150px|link=#Neural oscillatory correlates of episodic memory]]
+| [[File:Ecog-thumb.png|frameless|center|border|150px|link=#Neural oscillatory correlates of episodic memory]]
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 | width="320pt" | <span style="font-size: 15pt; line-height: 130%">[[#Neural oscillatory correlates of episodic memory|Neural oscillatory correlates of episodic memory]]</span>
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-| [[File:MillerThumb.png|frameless|left|border|150px|link=#Human spatial memory and cognition]]
+| [[File:MillerThumb.png|frameless|center|border|150px|link=#Human spatial memory and cognition]]
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-| [[File:closed_loop_thumbnail.png|frameless|left|border|150px|link=#Cognitive Neuromodulation]]
+| [[File:closed_loop_thumbnail.png|frameless|center|border|150px|link=#Cognitive Neuromodulation]]
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-|[[File:Models-thumb.png|frameless|center|border|150px|link=#Computational models of human memory]]
+|[[File:Models-thumb.png|center|border|150px|link=#Computational models of human memory]]
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-| width="150px" | <span style="font-size: 15pt; line-height: 130%">[[#Computational models of human memory|Computational models of human memory]]</span>
+| width="320pt" | <span style="font-size: 15pt; line-height: 130%">[[#Computational models of human memory|Computational models of human memory]]</span>
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-|[[File:Models-thumb.png|frameless|left|border|150px|link=#Computational models of human memory]]
+|[[File:Models-thumb.png|frameless|center|border|150px|link=#Computational models of human memory]]
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 | width="150px" | <span style="font-size: 15pt; line-height: 130%">[[#Computational models of human memory|Computational models of human memory]]</span>

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