ArticleProceedings of the National Academy of Sciences of the United States of America2009
Feed-forward inhibition as a buffer of the neuronal input-output relation.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.
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Who cites it
52 citing papers in PubMed, 86 citations in OpenAlex.
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- Spatially-local inhibition and synaptic plasticity together enable dynamic, context-dependent integration of parallel sensory pathways.bioRxiv : the preprint server for biology · 2025Article
- Differential behavioral engagement of inhibitory interneuron subtypes in the zebra finch brain.Neuron · 2025Article
- Modification of temporal pattern sensitivity for inputs from medial entorhinal cortex by lateral inputs in hippocampal granule cells.Cognitive neurodynamics · 2024Article
- Deficits in neuronal architecture but not over-inhibition are main determinants of reduced neuronal network activity in a mouse model of overexpression of Dyrk1A.Cerebral cortex (New York, N.Y. : 1991) · 2024Article
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- A realistic morpho-anatomical connection strategy for modelling full-scale point-neuron microcircuits.Scientific reports · 2022Article
- A general hypothesis of multistable systems in pathophysiology.F1000Research · 2022Article
- Hypothalamic melanin-concentrating hormone regulates hippocampus-dorsolateral septum activity.Nature neuroscience · 2022Article
- Parvalbumin Role in Epilepsy and Psychiatric Comorbidities: From Mechanism to Intervention.Frontiers in integrative neuroscience · 2022Review
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- Cellular, synaptic, and network effects of chemokines in the central nervous system and their implications to behavior.Pharmacological reports : PR · 2021Review
- Ion-channel regulation of response decorrelation in a heterogeneous multi-scale model of the dentate gyrus.Current research in neurobiology · 2021Article
- Regulation of gamma-frequency oscillation by feedforward inhibition: A computational modeling study.Hippocampus · 2019Article
- Functions of adult-born neurons in hippocampal memory interference and indexing.Nature neuroscience · 2019Review
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Authors and funding
3 authors at 3 institutions in 2 countries.
Funding
Abstract
Neuronal processing depends on the input-output (I/O) relation between the frequency of synaptic stimulation and the resultant axonal firing rate. The all-or-none properties of spike generation and active membrane mechanisms can make the neuronal I/O relation very steep. The ensuing nearly bimodal behavior may severely limit information coding, as minimal input fluctuations within the expected natural variability could cause neuronal output to jump between quiescence and maximum firing rate. Here, using biophysically and anatomically realistic computational models of individual neurons, we demonstrate that feed-forward inhibition, a ubiquitous mechanism in which inhibitory interneurons and their target cells are activated by the same excitatory input, can change a steeply sigmoid I/O curve into a double-sigmoid typical of buffer systems. The addition of an intermediate plateau stabilizes the spiking response over a broad dynamic range of input frequency, ensuring robust integration of noisy synaptic signals. Both the buffered firing rate and its input firing range can be independently and extensively modulated by biologically plausible changes in the weight and number of excitatory synapses on the feed-forward interneuron. By providing a soft switch between essentially digital and analog rate-code, this continuous control of the circuit I/O could dramatically increase the computational power of neuronal integration.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.