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Residual error analysis of the SAE model and the parametric model.
Residual error analysis of the SAE model and the parametric model. -
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. -
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... -
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... -
r37980778c78--4675c0848dc06f209a26f0ca2fe7f564
Population firing rate statistics from an LIF model of the OB–PC pathway. -
The 12 relationships (constraints) that hold in the experimental data across ...
The 12 relationships (constraints) that hold in the experimental data across all odors. -
Fixed parameters for the LIF OB–PC model, see Eqs 65–67.
Fixed parameters for the LIF OB–PC model, see Eqs 65–67. -
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. -
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