12 items found

Types: dataset Tags: Neuroscience network model

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  • dataset

    Residual error analysis of the SAE model and the parametric model.

    Residual error analysis of the SAE model and the parametric model.
  • dataset

    Parameters of the rate model (Eq 1).

    The only difference between the spontaneous and evoked states, is that the mean input to OB increased in the evoked state. We set τ = 1 throughout.
  • dataset

    A theoretical framework for analyzing coupled neuronal networks: Application ...

    Determining how synaptic coupling within and between regions is modulated during sensory processing is an important topic in neuroscience. Electrophysiological recordings...
  • dataset

    r37980778c78--92fd32410d8e17277a3d53f27e4ac88e

    From memorizing a musical tune to navigating a well known route, many of our underlying behaviors have a strong temporal component. While the mechanisms behind the sequential...
  • dataset

    r37980778c78--4675c0848dc06f209a26f0ca2fe7f564

    Population firing rate statistics from an LIF model of the OB–PC pathway.
  • dataset

    The 12 relationships (constraints) that hold in the experimental data across ...

    The 12 relationships (constraints) that hold in the experimental data across all odors.
  • dataset

    Network’s parameters and quantities.

    Network’s parameters and quantities.
  • dataset

    Model execution times.

    Model execution times.
  • dataset

    Fixed parameters for the LIF OB–PC model, see Eqs 65–67.

    Fixed parameters for the LIF OB–PC model, see Eqs 65–67.
  • dataset

    Lateral inhibition parameters.

    Lateral inhibition parameters.
  • dataset

    Network dimensions.

    Table shows number of neurons per layer, number of synapses to preceding layer and size of receptive field from which the connections are received.
  • dataset

    Correction: Correction: The role of cortical oscillations in a spiking neural...

    Correction: Correction: The role of cortical oscillations in a spiking neural network model of the basal ganglia