ArticlePLoS computational biology2016
The Edge of Stability: Response Times and Delta Oscillations in Balanced Networks.
Article in PLoS computational biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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Who cites it
6 citing papers in PubMed.
- On the physiological and structural contributors to the overall balance of excitation and inhibition in local cortical networks.Journal of computational neuroscience · 2024Article
- Machine Learning Selection of Most Predictive Brain Proteins Suggests Role of Sugar Metabolism in Alzheimer's Disease.Journal of Alzheimer's disease : JAD · 2023Article
- Comparing therapeutic modulators of the SOD1 G93A Amyotrophic Lateral Sclerosis mouse pathophysiology.Frontiers in neuroscience · 2022Article
- Analytically determining frequency and amplitude of spontaneous alpha oscillation in Jansen's neural mass model using the describing function method.Chinese physics B = Zhongguo wu li B · 2018Article
- Short-term depression and transient memory in sensory cortex.Journal of computational neuroscience · 2017Article
- Cortical Variability and Challenges for Modeling Approaches.Frontiers in systems neuroscience · 2017Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
The standard architecture of neocortex is a network with excitation and inhibition in closely maintained balance. These networks respond fast and with high precision to their inputs and they allow selective amplification of patterned signals. The stability of such networks is known to depend on balancing the strengths of positive and negative feedback. We here show that a second condition is required for stability which depends on the relative strengths and time courses of fast (AMPA) and slow (NMDA) currents in the excitatory projections. This condition also determines the response time of the network. We show that networks which respond quickly to an input are necessarily close to an oscillatory instability which resonates in the delta range. This instability explains the existence of neocortical delta oscillations and the emergence of absence epilepsy. Although cortical delta oscillations are a network-level phenomenon, we show that in non-pathological networks, individual neurons receive sufficient information to keep the network in the fast-response regime without sliding into the instability.
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Registered trials
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