The Experts below are selected from a list of 195 Experts worldwide ranked by ideXlab platform

Ranulfo Romo - One of the best experts on this subject based on the ideXlab platform.

  • decoding a perceptual decision process across cortex
    Neuron, 2010
    Co-Authors: Adrian Hernandez, Veronica Nacher, Rogelio Luna, Antonio Zainos, Luis Lemus, M Alvarez, Yuriria Vazquez, Liliana Camarillo, Ranulfo Romo
    Abstract:

    Summary Perceptual decisions arise from the activity of neurons distributed across brain circuits. But, decoding the mechanisms behind this Cognitive Operation across brain circuits has long posed a difficult problem. We recorded the neuronal activity of diverse cortical areas, while monkeys performed a vibrotactile discrimination task. We find that the encoding of the stimuli during the stimulus periods, working memory, and comparison periods is widely distributed across cortical areas. Notably, during the comparison and postponed decision report periods the activity of frontal brain circuits encode both the result of the sensory evaluation that corresponds to the monkey's possible choices and past information on which the decision is based. These results suggest that frontal lobe circuits are more engaged in the readout of sensory information from working memory, when it is required to be compared with other sensory inputs, than simply engaged in motor responses during this task.

Andrea M. Philipp - One of the best experts on this subject based on the ideXlab platform.

  • The role of sensory-motor modality compatibility in language processing.
    Psychological Research-psychologische Forschung, 2015
    Co-Authors: Simone Schaeffner, Iring Koch, Andrea M. Philipp
    Abstract:

    Language processing requires the combination of compatible (auditory-vocal and visual-manual) or incompatible (auditory-manual and visual-vocal) sensory-motor modalities, and switching between these sensory-motor modality combinations is very common in every-day life. Sensory-motor modality compatibility is defined as the similarity of stimulus modality and the modality of response-related sensory consequences. We investigated the influence of sensory-motor modality compatibility during performing language-related Cognitive Operations on different linguistic levels. More specifically, we used a variant of the task-switching paradigm, in which participants had to switch between compatible or between incompatible sensory-motor modality combinations during a verbal semantic categorization (Experiment 1) or during a word-form decision (Experiment 2). The data show higher switch costs (i.e., higher reaction times and error rates in switch trials compared to repetition trials) in incompatible sensory-motor modality combinations than in compatible sensory-motor modality combinations. This was true for every language-related Cognitive Operation, regardless of the individual linguistic level. Taken together, the present study demonstrates that sensory-motor modality compatibility plays an important role in modality switching during language processing.

Joachim H. G. Ender - One of the best experts on this subject based on the ideXlab platform.

  • online dictionary learning aided target recognition in Cognitive gpr
    International Geoscience and Remote Sensing Symposium, 2017
    Co-Authors: Fabio Giovanneschi, Kumar Vijay Mishra, Yonina C. Eldar, Maria A Gonzalezhuici, Joachim H. G. Ender
    Abstract:

    Sparse decomposition of ground penetration radar (GPR) signals facilitates the use of compressed sensing techniques for faster data acquisition and enhanced feature extraction for target classification. In this paper, we investigate use of an online dictionary learning (ODL) technique in the context of GPR to bring down the learning time as well as improve identification of abandoned anti-personnel landmines. Our experimental results using real data from an L-band GPR for PMN/PMA2, ERA and T72 mines show that ODL reduces learning time by 94% and increases clutter detection by 10% over the classical K-SVD algorithm. Moreover, our methods could be helpful in Cognitive Operation of the GPR where the system adapts the range sampling based on the learned dictionary.

  • Online Dictionary Learning Aided Target Recognition In Cognitive GPR
    arXiv: Information Theory, 2017
    Co-Authors: Fabio Giovanneschi, Kumar Vijay Mishra, Maria A. Gonzalez-huici, Yonina C. Eldar, Joachim H. G. Ender
    Abstract:

    Sparse decomposition of ground penetration radar (GPR) signals facilitates the use of compressed sensing techniques for faster data acquisition and enhanced feature extraction for target classification. In this paper, we investigate the application of an online dictionary learning (ODL) technique in the context of GPR to bring down the learning time as well as improve identification of abandoned anti-personnel landmines. Our experimental results using real data from an L-band GPR for PMN/PMA2, ERA and T72 mines show that ODL reduces learning time by 94\% and increases clutter detection by 10\% over the classical K-SVD algorithm. Moreover, the proposed methodology could be helpful in Cognitive Operation of the GPR where the system adapts the range sampling based on the learned dictionary.

  • IGARSS - Online dictionary learning aided target recognition in Cognitive GPR
    2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2017
    Co-Authors: Fabio Giovanneschi, Kumar Vijay Mishra, Maria A. Gonzalez-huici, Yonina C. Eldar, Joachim H. G. Ender
    Abstract:

    Sparse decomposition of ground penetration radar (GPR) signals facilitates the use of compressed sensing techniques for faster data acquisition and enhanced feature extraction for target classification. In this paper, we investigate use of an online dictionary learning (ODL) technique in the context of GPR to bring down the learning time as well as improve identification of abandoned anti-personnel landmines. Our experimental results using real data from an L-band GPR for PMN/PMA2, ERA and T72 mines show that ODL reduces learning time by 94% and increases clutter detection by 10% over the classical K-SVD algorithm. Moreover, our methods could be helpful in Cognitive Operation of the GPR where the system adapts the range sampling based on the learned dictionary.

Klaus Oberauer - One of the best experts on this subject based on the ideXlab platform.

  • Domain-specific interference between storage and processing in complex span is driven by Cognitive and motor Operations:
    Quarterly journal of experimental psychology (2006), 2017
    Co-Authors: Mirko Thalmann, Klaus Oberauer
    Abstract:

    The role of domain-specific interference in the complex-span paradigm is still controversial. Here we distinguish two Operations within the processing task of this paradigm-a Cognitive Operation to solve the task and a motor Operation to give the answer. Their domain-specific interference with maintenance was investigated within the complex-span paradigm. Presentation of the memoranda-six words or four spatially distributed dots-was interleaved with the presentation of letter pairs to be processed. Cognitive Operation domain was manipulated by asking participants to make either a rhyme judgment or a symmetry judgment for each letter pair. Motor Operation domain was varied by requiring a response by either speaking or pointing. Cognitive load was held constant. Cognitive and motor Operation showed separate domain-specific effects on memory: Visuospatial memory was impaired more by visuospatial than verbal Cognitive Operations and more by manual-spatial than oral motor Operations. In contrast, verbal memory performance was worse when verbal Cognitive Operations and oral motor Operations were executed. The results are discussed in relation to the multicomponent model, the time-based resource-sharing (TBRS) model, and the Serial Order in a Box-Complex-Span (SOB-CS) model. They imply that models of working memory must incorporate mechanisms that allow for domain-specific interference in the verbal and the visuospatial domain.

Bradley R Buchsbaum - One of the best experts on this subject based on the ideXlab platform.

  • eye movements support behavioral pattern completion
    Proceedings of the National Academy of Sciences of the United States of America, 2020
    Co-Authors: Jordana S Wynn, Jennifer D Ryan, Bradley R Buchsbaum
    Abstract:

    The ability to recall a detailed event from a simple reminder is supported by pattern completion, a Cognitive Operation performed by the hippocampus wherein existing mnemonic representations are retrieved from incomplete input. In behavioral studies, pattern completion is often inferred through the false endorsement of lure (i.e., similar) items as old. However, evidence that such a response is due to the specific retrieval of a similar, previously encoded item is severely lacking. We used eye movement (EM) monitoring during a partial-cue recognition memory task to index reinstatement of lure images behaviorally via the recapitulation of encoding-related EMs or gaze reinstatement. Participants reinstated encoding-related EMs following degraded retrieval cues and this reinstatement was negatively correlated with accuracy for lure images, suggesting that retrieval of existing representations (i.e., pattern completion) underlies lure false alarms. Our findings provide evidence linking gaze reinstatement and pattern completion and advance a functional role for EMs in memory retrieval.

  • eye movements support behavioral pattern completion
    bioRxiv, 2019
    Co-Authors: Jordana S Wynn, Jennifer D Ryan, Bradley R Buchsbaum
    Abstract:

    Abstract The ability to recall a detailed event from a simple reminder is supported by pattern completion, a Cognitive Operation performed by the hippocampus wherein existing mnemonic representations are retrieved from incomplete input. In behavioral studies, pattern completion is often inferred through the false endorsement of lure (i.e., similar) items as old. However, evidence that such a response is due to the specific retrieval of a similar, previously encoded item is severely lacking. We used eye movement (EM) monitoring during a partial-cue recognition memory task to index reinstatement of lure images behaviorally via the recapitulation of encoding-related EMs or, gaze reinstatement. Participants reinstated encoding-related EMs following degraded retrieval cues and this reinstatement was negatively correlated with accuracy for lure images, suggesting that retrieval of existing representations (i.e., pattern completion) underlies lure false alarms. Our findings provide novel evidence linking gaze reinstatement and pattern completion and advance a functional role for EMs in memory retrieval.