Cognitive Functions and Neuronal Mechanisms of Tactile Working Memory

2013 ◽  
pp. 89-98
Author(s):  
Yinghua Yu ◽  
Jiajia Yang ◽  
Jinglong Wu
Keyword(s):  
Neural Networks ◽  
Working Memory ◽  
Sensory Information ◽  
Neural Substrates ◽  
The Body ◽  
Tactile Information ◽  
Cortical Areas ◽  
Neuronal Mechanisms ◽  
Tactile Working Memory ◽  
Tactile Modality

The concept of tactile working memory indicated that the system can actively maintain (maintenance) and flexibly manipulate (manipulation) tactile information received from the body surface. The cognitive processes consisted of providing for the interim integration, processing, disposal, and retrieval of information. In this review, we combined psychophysical and neurophysiological experiments to highlight some of the most important characteristics and the neural substrates of tactile working memory. In particular, these studies have addressed how neural codes are related to perception and working memory in tactile modality. Tactile information is stored by segregated neural networks that include not only the prefrontal and parietal cortex, but also the somatosensory areas where relatively early stages of perceptual processing are carried out and past and current sensory information are combined to drive higher cortical areas.

scholarly journals Distributed neural networks of tactile working memory

2013 ◽  
Vol 107 (6) ◽  
pp. 452-458 ◽  
Author(s):  
Liping Wang ◽  
Mark Bodner ◽  
Yong-Di Zhou
Keyword(s):  
Neural Networks ◽  
Working Memory ◽  
Tactile Working Memory

Comparative analysis of intelligent planning methods

2012 ◽  
Vol 9 (2) ◽  
pp. 53-57 ◽  
Author(s):  
O.V. Darintsev ◽  
A.B. Migranov
Keyword(s):  
Neural Networks ◽  
Genetic Algorithms ◽  
Fuzzy Logic ◽  
Comparative Analysis ◽  
Mobile Robots ◽  
Sensory Information ◽  
Working Environment ◽  
Planning Methods ◽  
Intelligent Planning

The main stages of solving the problem of planning movements by mobile robots in a non-stationary working environment based on neural networks, genetic algorithms and fuzzy logic are considered. The features common to the considered intellectual algorithms are singled out and their comparative analysis is carried out. Recommendations are given on the use of this or that method depending on the type of problem being solved and the requirements for the speed of the algorithm, the quality of the trajectory, the availability (volume) of sensory information, etc.

Serial and parallel processing of tactual information in somatosensory cortex of rhesus monkeys

1992 ◽  
Vol 68 (2) ◽  
pp. 518-527 ◽  
Author(s):  
T. P. Pons ◽  
P. E. Garraghty ◽  
M. Mishkin
Keyword(s):  
Substantial Reduction ◽  
Receptive Fields ◽  
Somatosensory System ◽  
Encounter Rate ◽  
Specific Information ◽  
Tactile Information ◽  
Cortical Areas ◽  
Area 3A ◽  
Area 3B ◽  
Made In

1. Selective ablations of the hand representations in postcentral cortical areas 3a, 3b, 1, and 2 were made in different combinations to determine each area's contribution to the responsivity and modality properties of neurons in the hand representation in SII. 2. Ablations that left intact only the postcentral areas that process predominantly cutaneous inputs (i.e., areas 3b and 1) yielded SII recording sites responsive to cutaneous stimulation and none driven exclusively by high-intensity or "deep" stimulation. Conversely, ablations that left intact only the postcentral areas that process predominantly deep receptor inputs (i.e., areas 3a and 2) yielded mostly SII recording sites that responded exclusively to deep stimulation. 3. Ablations that left intact only area 3a or only area 2 yielded substantial and roughly equal reductions in the number of deep receptive fields in SII. By contrast, ablations that left intact only area 3b or only area 1 yielded unequal reductions in the number of cutaneous receptive fields in SII: a small reduction when area 3b alone was intact but a somewhat larger one when only area 1 was intact. 4. Finally, when the hand representation in area 3b was ablated, leaving areas 3a, 1, and 2 fully intact, there was again a substantial reduction in the encounter rate of cutaneous receptive fields. 5. The partial ablations often led to unresponsive sites in the SII hand representation. In SII representations other than of the hand no such unresponsive sites were found and there were no substantial changes in the ratio of cutaneous to deep receptive fields, indicating that the foregoing results were not due to long-lasting postsurgical depression or effects of anesthesia. 6. The findings indicate that modality-specific information is relayed from postcentral cortical areas to SII along parallel channels, with cutaneous inputs transmitted via areas 3b and 1, and deep inputs via areas 3a and 2. Further, area 3b provides the major source of cutaneous input to SII, directly and perhaps also via area 1. 7. The results are in line with accumulating anatomic and electrophysiologic evidence pointing to an evolutionary shift in the organization of the somatosensory system from the general mammalian plan, in which tactile information is processed in parallel in SI and SII, to a new organization in higher primates in which the processing of tactile information proceeds serially from SI to SII. The presumed functional advantages of this evolutionary shift are unknown.

scholarly journals The emulation theory of representation: Motor control, imagery, and perception

2004 ◽  
Vol 27 (3) ◽  
pp. 377-396 ◽  
Author(s):  
Rick Grush
Keyword(s):  
Motor Control ◽  
Sensory Feedback ◽  
Sensory Input ◽  
Neural Circuits ◽  
Sensory Information ◽  
The Body ◽  
Feedback Delay ◽  
Run Off ◽  
Effects Of Feedback ◽  
The Brain

The emulation theory of representation is developed and explored as a framework that can revealingly synthesize a wide variety of representational functions of the brain. The framework is based on constructs from control theory (forward models) and signal processing (Kalman filters). The idea is that in addition to simply engaging with the body and environment, the brain constructs neural circuits that act as models of the body and environment. During overt sensorimotor engagement, these models are driven by efference copies in parallel with the body and environment, in order to provide expectations of the sensory feedback, and to enhance and process sensory information. These models can also be run off-line in order to produce imagery, estimate outcomes of different actions, and evaluate and develop motor plans. The framework is initially developed within the context of motor control, where it has been shown that inner models running in parallel with the body can reduce the effects of feedback delay problems. The same mechanisms can account for motor imagery as the off-line driving of the emulator via efference copies. The framework is extended to account for visual imagery as the off-line driving of an emulator of the motor-visual loop. I also show how such systems can provide for amodal spatial imagery. Perception, including visual perception, results from such models being used to form expectations of, and to interpret, sensory input. I close by briefly outlining other cognitive functions that might also be synthesized within this framework, including reasoning, theory of mind phenomena, and language.

Shared Neural Circuits for Visuospatial Working Memory and Arithmetic in Children and Adults

2021 ◽  
pp. 1-17
Author(s):  
Anna A. Matejko ◽  
Daniel Ansari
Keyword(s):  
Working Memory ◽  
Brain Activity ◽  
Strong Relationship ◽  
Neural Substrates ◽  
Visuospatial Working Memory ◽  
Age Related ◽  
Arithmetic Networks ◽  
The Right ◽  
The Relationship ◽  
Superior Frontal Sulcus

Abstract Visuospatial working memory (VSWM) plays an important role in arithmetic problem solving, and the relationship between these two skills is thought to change over development. Even though neuroimaging studies have demonstrated that VSWM and arithmetic both recruit frontoparietal networks, inferences about common neural substrates have largely been made by comparisons across studies. Little work has examined how brain activation for VSWM and arithmetic converge within the same participants and whether there are age-related changes in the overlap of these neural networks. In this study, we examined how brain activity for VSWM and arithmetic overlap in 38 children and 26 adults. Although both children and adults recruited the intraparietal sulcus (IPS) for VSWM and arithmetic, children showed more focal activation within the right IPS, whereas adults recruited the bilateral IPS, superior frontal sulcus/middle frontal gyrus, and right insula. A comparison of the two groups revealed that adults recruited a more left-lateralized network of frontoparietal regions for VSWM and arithmetic compared with children. Together, these findings suggest possible neurocognitive mechanisms underlying the strong relationship between VSWM and arithmetic and provide evidence that the association between VSWM and arithmetic networks changes with age.

EEG Neural Networks Reveal Influence of Indoor Toluene on Working Memory at Low Concentration

2021 ◽  
Author(s):  
Zukun Wang ◽  
Jiajing Wang ◽  
Dandan Guo ◽  
Jingjing Pei ◽  
Lei Zhao ◽  
...  
Keyword(s):  
Neural Networks ◽  
Working Memory ◽  
Low Concentration

scholarly journals The developmental neural substrates of item and serial order components of verbal working memory

2018 ◽  
Vol 40 (5) ◽  
pp. 1541-1553 ◽  
Author(s):  
Lucie Attout ◽  
Laura Ordonez Magro ◽  
Arnaud Szmalec ◽  
Steve Majerus
Keyword(s):  
Working Memory ◽  
Serial Order ◽  
Verbal Working Memory ◽  
Neural Substrates ◽  
Order Components

scholarly journals Alzheimer disease neuropathology:understanding autonomic dysfunction

2008 ◽  
Vol 2 (3) ◽  
pp. 183-191 ◽  
Author(s):  
Eliasz Engelhardt ◽  
Jerson Laks
Keyword(s):  
Alzheimer’S Disease ◽  
Neural Networks ◽  
Alzheimer's Disease ◽  
Autonomic Dysfunction ◽  
Disease Process ◽  
Functional Impairments ◽  
Cortical Areas ◽  
Manual Search ◽  
Neurodegenerative Process ◽  
Vital Functions

Abstract Alzheimer's disease is a widely studied disorder with research focusing on cognitive and functional impairments, behavioral and psychological symptoms, and on abnormal motor manifestations. Despite the importance of autonomic dysfunctions they have received less attention in systematic studies. The underlying neurodegenerative process of AD, mainly affecting cortical areas, has been studied for more than one century. However, autonomic-related structures have not been studied neuropathologically with the same intensity. The autonomic nervous system governs normal visceral functions, and its activity is expressed in relation to homeostatic needs of the organism's current physical and mental activities. The disease process leads to autonomic dysfunction or dysautonomy possibly linked to increased rates of morbidity and mortality. Objective: The aim of this review was to analyze the cortical, subcortical, and more caudal autonomic-related regions, and the specific neurodegenerative process in Alzheimer's disease that affects these structures. Methods: A search for papers addressing autonomic related-structures affected by Alzheimer's degeneration, and under normal condition was performed through MedLine, PsycInfo and Lilacs, on the bibliographical references of papers of interest, together with a manual search for classic studies in older journals and books, spanning over a century of publications. Results: The main central autonomic-related structures are described, including cortical areas, subcortical structures (amygdala, thalamus, hypothalamus, brainstem, cerebellum) and spinal cord. They constitute autonomic neural networks that underpin vital functions. These same structures, affected by specific Alzheimer's disease neurodegeneration, were also described in detail. The autonomic-related structures present variable neurodegenerative changes that develop progressively according to the degenerative stages described by Braak and Braak. Conclusion: The neural networks constituted by the central autonomic-related structures, when damaged by progressive neurodegeneration, represent the neuropathological substrate of autonomic dysfunction. The presence of this dysfunction and its possible relationship with higher rates of morbidity, and perhaps of mortality, in affected subjects must be kept in mind when managing Alzheimer's patients.

scholarly journals The effect of visual salience on memory-based choices

2014 ◽  
Vol 111 (3) ◽  
pp. 481-487 ◽  
Author(s):  
Arezoo Pooresmaeili ◽  
Dominik R. Bach ◽  
Raymond J. Dolan
Keyword(s):  
Working Memory ◽  
Sensory Information ◽  
Relevant Information ◽  
Visual Selective Attention ◽  
Visual Salience ◽  
Perceptual Decision Making ◽  
Capacity Limitations ◽  
Course Of Action ◽  
Task Irrelevant

Deciding whether a stimulus is the “same” or “different” from a previous presented one involves integrating among the incoming sensory information, working memory, and perceptual decision making. Visual selective attention plays a crucial role in selecting the relevant information that informs a subsequent course of action. Previous studies have mainly investigated the role of visual attention during the encoding phase of working memory tasks. In this study, we investigate whether manipulation of bottom-up attention by changing stimulus visual salience impacts on later stages of memory-based decisions. In two experiments, we asked subjects to identify whether a stimulus had either the same or a different feature to that of a memorized sample. We manipulated visual salience of the test stimuli by varying a task-irrelevant feature contrast. Subjects chose a visually salient item more often when they looked for matching features and less often so when they looked for a nonmatch. This pattern of results indicates that salient items are more likely to be identified as a match. We interpret the findings in terms of capacity limitations at a comparison stage where a visually salient item is more likely to exhaust resources leading it to be prematurely parsed as a match.

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