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Titlebook: Mechanisms, Symbols, and Models Underlying Cognition; First International José Mira,José R. Álvarez Conference proceedings 2005 Springer-V

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Conceptual Idea of Natural Mechanisms of Recognition, Purposeful Thinking and Potential of Its Technct “Plasticity”), as well as the subject “Neuro-informatics” (with emphasis on the subsection “Neurostimulators”). The paper also includes some basic considerations and real examples related to the topic “From Natural to Artificial”, namely the subject “Bio-inspired Circuits and Mechanisms” (“Electr
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Formulation and Validation of a Method for Classifying Neurons from Multielectrode Recordings interactions among ensembles of neurons. Related to coding, many multivariate statistical techniques such as linear discriminant analysis (LDA) or artificial neural networks (ANN) have been used for dealing with the classification problem providing very similar performances. This is, there is no me
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A Conceptual Model of Amphibian’s Tectum Opticum with Probabilistic Coded Outputs 1 is a diagram of the frog’s visual system with the eyes enlarged so that the ganglion cells can be illustrated collecting information from the retina and conveying it to both the optic tectum and the geniculate nucleus. Connections to the tectum are the principal ones. Experiments indicate that on
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Realistic Stimulation Through Advanced Dynamic-Clamp Protocolse to react to any stimulus in the physiological range, it is difficult to assess to what extent the response is a natural output to the processing of the input or just an awkward reaction to a foreign signal. In experiments that try to study the precise temporal relationships between the stimulus an
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Interacting Slow and Fast Dynamics in Precise Spiking-Bursting Neurons heartbeat central pattern generator of the leech. In particular we study the effect of calcium-dependent currents on the neural signatures generated in the circuit. These neural signatures are cell-specific interspike intervals in the spiking-bursting activity of each neuron. Our results show that
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An Integral Model of Spreading Depression: From Neuron Channels to Field Potentialsials. Its biophysical nature is unclear. Based on our recent finding that longitudinal depolarizing gradients arise on individual neurons affected by SD, we have initiated the construction of an integral model to reproduce large macroscopic potentials in the extracellular space from channel activity
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