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Patterned neuronal activations have been postulated to be the potential neuronal scheme for informational representation [1], [2], but they have been relatively difficult to observe and study in the mammalian brain.
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Our unique neuronal engineering scheme also allows us to study the activity of two clusters coupled by a bundle of neurites (Figure 5a).
The neuronal system is very complex.
These results reveal the existence of distinct neuronal encoding schemes which could explain why hippocampal dysfunction results in anterograde amnesia while sparing recollection of old, schema-based memories.
In these schemes, neuronal representations in higher levels of sensory cortical hierarchies entail hypotheses that provide predictions for lower levels.
In these schemes, neuronal representations in higher levels of cortical hierarchies generate predictions of representations in lower levels.
To perform neuronal simulations under this scheme, it is only necessary to integrate or solve Eq. (A.1) to simulate the neuronal dynamics that encode posterior expectations.
We present a detailed analysis of the dendritic and axonal morphology of excitatory neurons in layer 6B of the adolescent somatosensory rat barrel cortex and propose a classification scheme of neuronal subtypes present in this layer.
We define the field of hybrid systems neuroscience as the reformulation of hybrid system models, analysis tools, and control schemes for neuronal systems.
The schemes of neuronal connections were not known to the analysts.
Distributed dendritic inhibition of retinotopic elements as implemented in our Indirect Distributed Inhibition model is the most plausible wiring scheme for the neuronal circuit of FD-cells.
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