PMC:2940453 / 20869-22860 JSONTXT

{"target":"https://pubannotation.org/docs/sourcedb/PMC/sourceid/2940453","sourcedb":"PMC","sourceid":"2940453","source_url":"https://www.ncbi.nlm.nih.gov/pmc/2940453","text":"Information reconstruction from phase of APs in the cortical column, predicted based on the “interference principle. ” (A) Cortical column (center). The x–y plot at the left represents the input APs entering the column, and the x–y plot at the right represents the expected activity of cortical neurons. In all x–y plots x is time and y is neuron number. The column in this example, for the sake of simplicity, contains only three neurons – without layer specificity. Above the columns are top views. Circular rings represent the radial propagation of SMO. (B) The first volley of APs arrives at t1 (the output in Figure 4). Although the input depolarizes all receiving neurons (red axons), the only neuron in which the excitatory postsynaptic potential is able to generate an AP is the one at the center where the SMO is near a peak (red cell body). The AP generated by this neuron appears on the right x–y plot. (C) As time progresses, the first radial SMO wave reaches the periphery and the second wave starts while the second AP volley arrives (t2). Again, the input APs depolarize all the neurons. However, the only neuron capable of generating an AP is the one near peak SMO. Since the only neuron at peak SMO is the second neuron, located farther from the center, this neuron will generate an AP while the first is in the refractory period and the third's membrane potential is still approaching SMO peak. As a result, a second AP appears in the diagram at t2. (D) When the third volley arrives at t3 and depolarizes all the postsynaptic neurons, the depolarization will coincide with the peak SMO in the third neuron, located at the periphery of the column. When this neuron fires an AP, it will be the third AP generated by the third neuron at t3. This sequence of events implements the “interference principle” by which the output of the neurons in the column reproduces the original input from the phase code as [AP1t1n1, AP2t2n2, AP3t3n3], where t is time and n is the neuron ID.","tracks":[]}