TY - JOUR
T1 - Reconciling coherent oscillation with modulation of irregular spiking activity in selective attention: Gamma-range synchronization between sensory and executive cortical areas
AU - Ardid, Salva
AU - Wang, Xiao Jing
AU - Gomez-Cabrero, David
AU - Compte, Albert
N1 - Generated from Scopus record by KAUST IRTS on 2021-02-16
PY - 2010/2/24
Y1 - 2010/2/24
N2 - In this computational work, we investigated gamma-band synchronization across cortical circuits associated with selective attention. Themodel explicitly instantiates a reciprocally connected loop of spiking neurons between a sensory-type (area MT) and an executive-type (prefrontal/parietal) cortical circuit (the source area for top-down attentional signaling). Moreover, unlike models in which neurons behave as clock-like oscillators, in our model single-cell firing is highly irregular (close to Poisson), while local field potential exhibits a population rhythm. In this "sparsely synchronized oscillation" regime, the model reproduces and clarifies multiple observations from behaving animals. Top-down attentional inputs have a profound effect on network oscillatory dynamics while only modestly affecting single-neuron spiking statistics. In addition, attentional synchrony modulations are highly selective: interareal neuronal coherence occurs only when there is a close match between the preferred feature of neurons, the attended feature, and the presented stimulus, a prediction that is experimentally testable. When interareal coherence was abolished, attention-induced gain modulations of sensory neurons were slightly reduced. Therefore, our model reconciles the rate and synchronization effects, and suggests that interareal coherence contributes to large-scale neuronal computation in the brain through modest enhancement of rate modulations as well as a pronounced attention-specific enhancement of neural synchrony. Copyright © 2010 the authors.
AB - In this computational work, we investigated gamma-band synchronization across cortical circuits associated with selective attention. Themodel explicitly instantiates a reciprocally connected loop of spiking neurons between a sensory-type (area MT) and an executive-type (prefrontal/parietal) cortical circuit (the source area for top-down attentional signaling). Moreover, unlike models in which neurons behave as clock-like oscillators, in our model single-cell firing is highly irregular (close to Poisson), while local field potential exhibits a population rhythm. In this "sparsely synchronized oscillation" regime, the model reproduces and clarifies multiple observations from behaving animals. Top-down attentional inputs have a profound effect on network oscillatory dynamics while only modestly affecting single-neuron spiking statistics. In addition, attentional synchrony modulations are highly selective: interareal neuronal coherence occurs only when there is a close match between the preferred feature of neurons, the attended feature, and the presented stimulus, a prediction that is experimentally testable. When interareal coherence was abolished, attention-induced gain modulations of sensory neurons were slightly reduced. Therefore, our model reconciles the rate and synchronization effects, and suggests that interareal coherence contributes to large-scale neuronal computation in the brain through modest enhancement of rate modulations as well as a pronounced attention-specific enhancement of neural synchrony. Copyright © 2010 the authors.
UR - http://www.jneurosci.org/cgi/doi/10.1523/JNEUROSCI.4222-09.2010
UR - http://www.scopus.com/inward/record.url?scp=77649125828&partnerID=8YFLogxK
U2 - 10.1523/JNEUROSCI.4222-09.2010
DO - 10.1523/JNEUROSCI.4222-09.2010
M3 - Article
SN - 0270-6474
VL - 30
SP - 2856
EP - 2870
JO - Journal of Neuroscience
JF - Journal of Neuroscience
IS - 8
ER -