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- W1980777797 endingPage "e1001038" @default.
- W1980777797 startingPage "e1001038" @default.
- W1980777797 abstract "The in vivo activity of CA1 pyramidal neurons alternates between regular spiking and bursting, but how these changes affect information processing remains unclear. Using a detailed CA1 pyramidal neuron model, we investigate how timing and spatial arrangement variations in synaptic inputs to the distal and proximal dendritic layers influence the information content of model responses. We find that the temporal delay between activation of the two layers acts as a switch between excitability modes: short delays induce bursting while long delays decrease firing. For long delays, the average firing frequency of the model response discriminates spatially clustered from diffused inputs to the distal dendritic tree. For short delays, the onset latency and inter-spike-interval succession of model responses can accurately classify input signals as temporally close or distant and spatially clustered or diffused across different stimulation protocols. These findings suggest that a CA1 pyramidal neuron may be capable of encoding and transmitting presynaptic spatiotemporal information about the activity of the entorhinal cortex-hippocampal network to higher brain regions via the selective use of either a temporal or a rate code." @default.
- W1980777797 created "2016-06-24" @default.
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- W1980777797 creator A5063850791 @default.
- W1980777797 creator A5088598187 @default.
- W1980777797 creator A5090207388 @default.
- W1980777797 date "2010-12-16" @default.
- W1980777797 modified "2023-10-03" @default.
- W1980777797 title "Encoding of Spatio-Temporal Input Characteristics by a CA1 Pyramidal Neuron Model" @default.
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