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  • American Physiological Society  (2)
  • Yang, Tianming  (2)
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  • American Physiological Society  (2)
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  • 1
    Online Resource
    Online Resource
    American Physiological Society ; 2015
    In:  Journal of Neurophysiology Vol. 114, No. 6 ( 2015-12-01), p. 3296-3305
    In: Journal of Neurophysiology, American Physiological Society, Vol. 114, No. 6 ( 2015-12-01), p. 3296-3305
    Abstract: The brain often has to make decisions based on information stored in working memory, but the neural circuitry underlying working memory is not fully understood. Many theoretical efforts have been focused on modeling the persistent delay period activity in the prefrontal areas that is believed to represent working memory. Recent experiments reveal that the delay period activity in the prefrontal cortex is neither static nor homogeneous as previously assumed. Models based on reservoir networks have been proposed to model such a dynamical activity pattern. The connections between neurons within a reservoir are random and do not require explicit tuning. Information storage does not depend on the stable states of the network. However, it is not clear how the encoded information can be retrieved for decision making with a biologically realistic algorithm. We therefore built a reservoir-based neural network to model the neuronal responses of the prefrontal cortex in a somatosensory delayed discrimination task. We first illustrate that the neurons in the reservoir exhibit a heterogeneous and dynamical delay period activity observed in previous experiments. Then we show that a cluster population circuit decodes the information from the reservoir with a winner-take-all mechanism and contributes to the decision making. Finally, we show that the model achieves a good performance rapidly by shaping only the readout with reinforcement learning. Our model reproduces important features of previous behavior and neurophysiology data. We illustrate for the first time how task-specific information stored in a reservoir network can be retrieved with a biologically plausible reinforcement learning training scheme.
    Type of Medium: Online Resource
    ISSN: 0022-3077 , 1522-1598
    RVK:
    Language: English
    Publisher: American Physiological Society
    Publication Date: 2015
    detail.hit.zdb_id: 80161-6
    detail.hit.zdb_id: 1467889-5
    Location Call Number Limitation Availability
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  • 2
    Online Resource
    Online Resource
    American Physiological Society ; 2002
    In:  Journal of Neurophysiology Vol. 87, No. 4 ( 2002-04-01), p. 1867-1888
    In: Journal of Neurophysiology, American Physiological Society, Vol. 87, No. 4 ( 2002-04-01), p. 1867-1888
    Abstract: Performance in visual discrimination tasks improves with practice. Although the psychophysical parameters of these improvements have suggested the involvement of early areas in visual cortex, there has been little direct study of the physiological correlates of such perceptual learning at the level of individual neurons. To examine how neuronal response properties in the early visual system may change with practice, we trained monkeys for more than 6 mo in an orientation discrimination task in which behaviorally relevant stimuli were restricted to a particular retinal location and oriented around a specific orientation. During training the monkeys' discrimination thresholds gradually improved to much better than those of naive monkeys or humans. Although this improvement was specific to the trained orientation, it showed little retinotopic specificity. The receptive field properties of single neurons from regions representing the trained location and a location in the opposite visual hemifield were measured in V1 and V2. In most respects the receptive field properties in the representations of the trained and untrained regions were indistinguishable. However, in the regions of V1 and V2 representing the trained location, there were slightly fewer neurons whose optimal orientation was near the trained orientation. This resulted in a small but significant decrease in the V1 population response to the trained orientation at the trained location. Consequently, the observed neuronal populations did not exhibit any orientation-specific biases sufficient to explain the orientation specificity of the behavioral improvement. Pooling models suggest that the behavioral improvement was accomplished with a task-dependent and orientation-selective pooling of unaltered signals from early visual neurons. These data suggest that, even for training with stimuli suited to the selectivities found in early areas of visual cortex, behavioral improvements can occur in the absence of pronounced changes in the physiology of those areas.
    Type of Medium: Online Resource
    ISSN: 0022-3077 , 1522-1598
    RVK:
    Language: English
    Publisher: American Physiological Society
    Publication Date: 2002
    detail.hit.zdb_id: 80161-6
    detail.hit.zdb_id: 1467889-5
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
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