Flexible resonance in prefrontal networks with strong feedback inhibition
Sherfey, Jason S.
Hasselmo, Michael E.
Kopell, Nancy J.
MetadataShow full item record
Published versionPublished versionPublished version
Citation (published version)Jason S Sherfey, Salva Ardid, Joachim Hass, Michael E Hasselmo, Nancy J Kopell. 2018. "Flexible resonance in prefrontal networks with strong feedback inhibition." PLOS COMPUTATIONAL BIOLOGY, v. 14, Issue 8, pp. ? (29). https://doi.org/10.1371/journal.pcbi.1006357
Oscillations are ubiquitous features of brain dynamics that undergo task-related changes in synchrony, power, and frequency. The impact of those changes on target networks is poorly understood. In this work, we used a biophysically detailed model of prefrontal cortex (PFC) to explore the effects of varying the spike rate, synchrony, and waveform of strong oscillatory inputs on the behavior of cortical networks driven by them. Interacting populations of excitatory and inhibitory neurons with strong feedback inhibition are inhibition-based network oscillators that exhibit resonance (i.e., larger responses to preferred input frequencies). We quantified network responses in terms of mean firing rates and the population frequency of network oscillation; and characterized their behavior in terms of the natural response to asynchronous input and the resonant response to oscillatory inputs. We show that strong feedback inhibition causes the PFC to generate internal (natural) oscillations in the beta/gamma frequency range (>15 Hz) and to maximize principal cell spiking in response to external oscillations at slightly higher frequencies. Importantly, we found that the fastest oscillation frequency that can be relayed by the network maximizes local inhibition and is equal to a frequency even higher than that which maximizes the firing rate of excitatory cells; we call this phenomenon population frequency resonance. This form of resonance is shown to determine the optimal driving frequency for suppressing responses to asynchronous activity. Lastly, we demonstrate that the natural and resonant frequencies can be tuned by changes in neuronal excitability, the duration of feedback inhibition, and dynamic properties of the input. Our results predict that PFC networks are tuned for generating and selectively responding to beta- and gamma-rhythmic signals due to the natural and resonant properties of inhibition-based oscillators. They also suggest strategies for optimizing transcranial stimulation and using oscillatory networks in neuromorphic engineering.
RightsAttribution 4.0 International
Showing items related by title, author, creator and subject.
Contribution of leaf specular reflection to canopy reflectance under black soil case using stochastic radiative transfer model Yang, Bin; Knyazikhin, Yuri; Zhao, Haimeng; Ma, Yuzhong (Elsevier Science BV, 2018-12-15)Numerous canopy radiative transfer models have been proposed based on the assumption of “ideal bi-Lambertian leaves” with the aim of simplifying the interactions between photons and vegetation canopies. This assumption may ...
Integrating archaeology and ancient DNA analysis to address invasive species colonization in the Gulf of Alaska West, Catherine; Hofman, Courtney A.; Ebbert, Steve; Martin, John; Shirazi, Sabrina; Dunning, Samantha; Maldonado, Jesus E. (WILEY, 2017-10-01)The intentional and unintentional movement of plants and animals by humans has transformed ecosystems and landscapes globally. Assessing when and how a species was introduced are central to managing these transformed ...
Petroff, A.; Murphy, J.G.; Thomas, S.C.; Geddes, Jeffrey A. (PERGAMON-ELSEVIER SCIENCE LTD, 2018-10-01)Aerosol fluxes were measured by eddy-correlation for 8 weeks of the summer and fall of 2011 above a temperate broadleaf forest in central Ontario, Canada. These size-resolved measurements apply to particles with optical ...