Information Encoding and Reconstruction from the Phase of Action Potentials
Information Encoding and Reconstruction from the Phase of Action Potentials
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Z. Nadasdy
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作者:
Z. Nadasdy
provide a unifi ed framework to answer a diverse set of daunting problems (see Table 1 in Supplementary Material). The indirect evidence for the tight relationship between AP timing and SMO derives from observations of high correlation between extracellular APs and LFP. High coherency between APs and LFP oscillations is predominant at the gamma and theta frequency bands in the awake brain (Bragin et al. Cisse et al., 2007). Gamma and theta oscillations also phase lock in the hippocampus and in the entorhinal cortex during active exploration of the environment and processing of sensory input (Chrobak and Buzsaki, 1998; Robbe et al., 2006). At the same time, APs phase lock with gamma oscillations (Chrobak and Buzsaki, 1998). Moreover, gamma band LFP and AP coherence has been found to be sensitive to motor task (Mehring et al., 2003) and preparatory activity during working memory (Pesaran et al., 2002) and related to selective visual attention (Fries et al., 2008). The autocorrelogram of multiunit activity in visual cortical areas of the cat is strongly modulated at 40–60 Hz and correlates with the gamma LFP, suggesting a functional link between AP generation and gamma oscillations (Gray and Singer, 1989). The multiunit– multiunit and the multiunit–LFP coherences are both increased during visual stimulation in the gamma (Womelsdorf et al., 2007) and during decision making in the beta frequency bands (Pesaran et al., 2008). Although AP-LFP phase coherency has been observed within the low-frequency LFP bands in the primary visual cortex of anesthetized primates (Montemurro et al., 2008), the feature-dependence of AP-LFP coherency in primary sensory areas is yet to be investigated. Notably, APs phase lock to 20–40 Hz LFP in the primate somatosensory cortex (Murthy and Fetz, 1996). The majority of pyramidal cells fi re at the trough of the theta cycle and align to Fundamental questions in neural coding are how neurons encode, transfer, and reconstruct information from the pattern of action potentials (APs) exchanged between different brain structures. We propose a general model of neural coding where neurons encode information by the phase of their APs relative to their subthreshold membrane oscillations. We demonstrate by means of simulations that AP phase retains the spatial and temporal content of the input under the assumption that the membrane potential oscillations are coherent across neurons and between structures and have a constant spatial phase gradient. The model explains many unresolved physiological observations and makes a number …