A dual-trace model for visual sensory memory.

2016 ◽  
Vol 42 (11) ◽  
pp. 1903-1922 ◽  
Author(s):  
Marcus Cappiello ◽  
Weiwei Zhang
Keyword(s):  
Sensory Memory ◽  
Trace Model

Feature conjunctions and auditory sensory memory

1998 ◽  
Vol 793 (1-2) ◽  
pp. 95-102 ◽  
Author(s):  
Elyse Sussman ◽  
Hilary Gomes ◽  
Jo Manette K Nousak ◽  
Walter Ritter ◽  
Herbert G Vaughan
Keyword(s):  
Sensory Memory ◽  
Auditory Sensory Memory

scholarly journals Sensory memory consolidation observed: Increased specificity of detail over days

2009 ◽  
Vol 91 (3) ◽  
pp. 273-286 ◽  
Author(s):  
Norman M. Weinberger ◽  
Alexandre A. Miasnikov ◽  
Jemmy C. Chen
Keyword(s):  
Memory Consolidation ◽  
Sensory Memory

Meaningfulness, phonemic similarity, and sensory memory.

1973 ◽  
Vol 98 (1) ◽  
pp. 64-69
Author(s):  
Margaret J. Peterson ◽  
Carol E. Eger ◽  
Gregory G. Brown
Keyword(s):  
Sensory Memory ◽  
Phonemic Similarity

Motor intention activity in the macaque's lateral intraparietal area. I. Dissociation of motor plan from sensory memory

1996 ◽  
Vol 76 (3) ◽  
pp. 1439-1456 ◽  
Author(s):  
P. Mazzoni ◽  
R. M. Bracewell ◽  
S. Barash ◽  
R. A. Andersen
Keyword(s):  
Eye Movements ◽  
Visual Stimulus ◽  
Visual Stimuli ◽  
Saccadic Eye Movements ◽  
Stimulus Location ◽  
Sensory Memory ◽  
Lateral Intraparietal Area ◽  
Preferred Direction ◽  
Motor Plan ◽  
Stimulation Of

1. The lateral intraparietal area (area LIP) of the monkey's posterior parietal cortex (PPC) contains neurons that are active during saccadic eye movements. These neurons' activity includes visual and saccade-related components. These responses are spatially tuned and the location of a neuron's visual receptive field (RF) relative to the fovea generally overlaps its preferred saccade amplitude and direction (i.e., its motor field, MF). When a delay is imposed between the presentation of a visual stimulus and a saccade made to its location (memory saccade task), many LIP neurons maintain elevated activity during the delay (memory activity, M), which appears to encode the metrics of the next intended saccadic eye movements. Recent studies have alternatively suggested that LIP neurons encode the locations of visual stimuli regardless of where the animal intends to look. We examined whether the M activity of LIP neurons specifically encodes movement intention or the locations of recent visual stimuli, or a combination of both. In the accompanying study, we investigated whether the intended-movement activity reflects changes in motor plan. 2. We trained monkeys (Macaca mulatta) to memorize the locations of two visual stimuli and plan a sequence of two saccades, one to each remembered target, as we recorded the activity of single LIP neurons. Two targets were flashed briefly while the monkey maintained fixation; after a delay the fixation point was extinguished, and the monkey made two saccades in sequence to each target's remembered location, in the order in which the targets were presented. This "delayed double saccade" (DDS) paradigm allowed us to dissociate the location of visual stimulation from the direction of the planned saccade and thus distinguish neuronal activity related to the target's location from activity related to the saccade plan. By imposing a delay, we eliminated the confounding effect of any phasic responses coincident with the appearance of the stimulus and with the saccade. 3. We arranged the two visual stimuli so that in one set of conditions at least the first one was in the neuron's visual RF, and thus the first saccade was in the neuron's motor field (MF). M activity should be high in these conditions according to both the sensory memory and motor plan hypotheses. In another set of conditions, the second stimulus appeared in the RF but the first one was presented outside the RF, instructing the monkey to plan the first saccade away from the neuron's MF. If the M activity encodes the motor plan, it should be low in these conditions, reflecting the plan for the first saccade (away from the MF). If it is a sensory trace of the stimulus' location, it should be high, reflecting stimulation of the RF by the second target. 4. We tested 49 LIP neurons (in 3 hemispheres of 2 monkeys) with M activity on the DDS task. Of these, 38 (77%) had M activity related to the next intended saccade. They were active in the delay period, as expected, if the first saccade was in their preferred direction. They were less active or silent if the next saccade was not in their preferred direction, even when the second stimulus appeared in their RF. 5. The M activity of 8 (16%) of the remaining neurons specifically encoded the location of the most recent visual stimulus. Their firing rate during the delay reflected stimulation of the RF independently of the saccade being planned. The remaining 3 neurons had M activity that did not consistently encode either the next saccade or the stimulus' location. 6. We also recorded the activity of a subset of neurons (n = 38) in a condition in which no stimulus appeared in a neuron's RF, but the second saccade was in the neuron's MF. In this case the majority of neurons tested (23/38, 60%) became active in the period between the first and second saccade, even if neither stimulus had appeared in their RF. Moreover, this activity appeared only after the first saccade had started in all but two of

scholarly journals Remember like humans

2017 ◽  
Vol 14 (1) ◽  
pp. 172988141769231 ◽  
Author(s):  
Ning An ◽  
Shi-Ying Sun ◽  
Xiao-Guang Zhao ◽  
Zeng-Guang Hou
Keyword(s):  
Short Term Memory ◽  
Three Dimensional ◽  
Sensory Memory ◽  
Long Term Memory ◽  
Observation Model ◽  
Two Dimensional ◽  
Short Term ◽  
Term Memory ◽  
Memory Register

Visual tracking is a challenging computer vision task due to the significant observation changes of the target. By contrast, the tracking task is relatively easy for humans. In this article, we propose a tracker inspired by the cognitive psychological memory mechanism, which decomposes the tracking task into sensory memory register, short-term memory tracker, and long-term memory tracker like humans. The sensory memory register captures information with three-dimensional perception; the short-term memory tracker builds the highly plastic observation model via memory rehearsal; the long-term memory tracker builds the highly stable observation model via memory encoding and retrieval. With the cooperative models, the tracker can easily handle various tracking scenarios. In addition, an appearance-shape learning method is proposed to update the two-dimensional appearance model and three-dimensional shape model appropriately. Extensive experimental results on a large-scale benchmark data set demonstrate that the proposed method outperforms the state-of-the-art two-dimensional and three-dimensional trackers in terms of efficiency, accuracy, and robustness.

Character Skeleton as a Pen Trace Model for Recognition from Reconstructed Trace

2021 ◽  
Vol 82 (11) ◽  
pp. 1835-1845
Author(s):  
S. P. Arseev ◽  
L. M. Mestetskiy
Keyword(s):  
Trace Model

Sensory memory and food texture

2005 ◽  
Vol 16 (3) ◽  
pp. 251-266 ◽  
Author(s):  
J. Mojet ◽  
E.P. Köster
Keyword(s):  
Sensory Memory ◽  
Food Texture

Information Theory Predicts the Magnitude of an MEG Response Related to the Operation of the Auditory Sensory Memory

Biomag 96 ◽  
2000 ◽  
pp. 872-873
Author(s):  
J. Sinkkonen ◽  
H. Tiitinen ◽  
P. May ◽  
R. J. Ilmoniemi ◽  
R. Näätänen
Keyword(s):  
Information Theory ◽  
Sensory Memory ◽  
Auditory Sensory Memory
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