ArticlePLoS computational biology2018
Flexible resonance in prefrontal networks with strong feedback inhibition.
Article in PLoS computational biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
- Frequency-dependent coupling in response to oscillatory inputs in minimal networks of electrically coupled nodes: Gap junction networks and spatially extended neurons.Biological cybernetics · 2026Article
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- Postsynaptic frequency filters shaped by the interplay of synaptic short-term plasticity and cellular time scales.Journal of computational neuroscience · 2025Article
- A genetic algorithm for self-supervised models of oscillatory neurodynamics.bioRxiv : the preprint server for biology · 2025Article
- Interleaved single and bursting spiking resonance in neurons.PLoS computational biology · 2025Article
- Sequential Activation of Lateral Hypothalamic Neuronal Populations during Feeding and Their Assembly by Gamma Oscillations.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
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- Uncovering the organization of neural circuits with Generalized Phase Locking Analysis.PLoS computational biology · 2023Article
- Emotional Memory Processing during REM Sleep with Implications for Post-Traumatic Stress Disorder.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023Article
- Network resonance can be generated independently at distinct levels of neuronal organization.PLoS computational biology · 2022Article
- Layer-specific pyramidal neuron properties underlie diverse anterior cingulate cortical motor and limbic networks.Cerebral cortex (New York, N.Y. : 1991) · 2022Article
- Article
- Cortical gamma-band resonance preferentially transmits coherent input.Cell reports · 2021Article
- Differential contributions of synaptic and intrinsic inhibitory currents to speech segmentation via flexible phase-locking in neural oscillators.PLoS computational biology · 2021Article
- Layer and rhythm specificity for predictive routing.Proceedings of the National Academy of Sciences of the United States of America · 2020Article
- Prefrontal oscillations modulate the propagation of neuronal activity required for working memory.Neurobiology of learning and memory · 2020Article
- A neural circuit model for a contextual association task inspired by recommender systems.Hippocampus · 2020Article
- The Role of Hierarchical Dynamical Functions in Coding for Episodic Memory and Cognition.Journal of cognitive neuroscience · 2019Article
- Biased competition in the absence of input bias revealed through corticostriatal computation.Proceedings of the National Academy of Sciences of the United States of America · 2019Article
- State-Dependent Entrainment of Prefrontal Cortex Local Field Potential Activity Following Patterned Stimulation of the Cerebellar Vermis.Frontiers in systems neuroscience · 2019Article
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5 authors.
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Abstract
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.
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