ArticleProceedings of the National Academy of Sciences of the United States of America2018
Resonance with subthreshold oscillatory drive organizes activity and optimizes learning in neural networks.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
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Who cites it
26 citing papers in PubMed.
- Review
- Article
- Cholinergic modulation of neural networks supports sequential and complementary roles for NREM and REM states in memory consolidation.PLoS computational biology · 2025Article
- Wavenumber-dependent transmission of subthreshold waves on electrical synapses network model ofeLife · 2025Article
- Daily rhythms drive dynamism in sleep, oscillations and interneuron firing, while excitatory firing remains stable across 24 h.The European journal of neuroscience · 2025Article
- Neuronal functional connectivity is impaired in a layer dependent manner near chronically implanted intracortical microelectrodes in C57BL6 wildtype mice.Journal of neural engineering · 2024Article
- The Constrained Disorder Principle May Account for Consciousness.Brain sciences · 2024Review
- Neural Aspects of Prospective Control through Resonating Taus in an Interceptive Timing Task.Brain sciences · 2022Article
- Network resonance can be generated independently at distinct levels of neuronal organization.PLoS computational biology · 2022Article
- Heterogeneous mechanisms for synchronization of networks of resonant neurons under different E/I balance regimes.Frontiers in network physiology · 2022Article
- Hippocampal neurons' cytosolic and membrane-bound ribosomal transcript profiles are differentially regulated by learning and subsequent sleep.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Acetylcholine-gated current translates wake neuronal firing rate information into a spike timing-based code in Non-REM sleep, stabilizing neural network dynamics during memory consolidation.PLoS computational biology · 2021Article
- Adaptive behaviour and learning in slime moulds: the role of oscillations.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2021Article
- Dynamical Mechanism Underlying Scale-Free Network Reorganization in Low Acetylcholine States Corresponding to Slow Wave Sleep.Frontiers in network physiology · 2021Article
- Normal and Abnormal Sharp Wave Ripples in the Hippocampal-Entorhinal Cortex System: Implications for Memory Consolidation, Alzheimer's Disease, and Temporal Lobe Epilepsy.Frontiers in aging neuroscience · 2021Review
- The Engram's Dark Horse: How Interneurons Regulate State-Dependent Memory Processing and Plasticity.Frontiers in neural circuits · 2021Review
- Implicit-explicit gradient of nondual awareness or consciousness as such.Neuroscience of consciousness · 2021Article
- Neuromodulation Effect of Very Low Intensity Transcranial Ultrasound Stimulation on Multiple Nuclei in Rat Brain.Frontiers in aging neuroscience · 2021Article
- Noisy Synaptic Conductance: Bug or a Feature?Trends in neurosciences · 2020Review
- Near field non-invasive electrophysiology of retrotrapezoid nucleus using amperometric cation sensor.Biosensors & bioelectronics · 2020Article
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7 authors.
Funding
Abstract
Network oscillations across and within brain areas are critical for learning and performance of memory tasks. While a large amount of work has focused on the generation of neural oscillations, their effect on neuronal populations' spiking activity and information encoding is less known. Here, we use computational modeling to demonstrate that a shift in resonance responses can interact with oscillating input to ensure that networks of neurons properly encode new information represented in external inputs to the weights of recurrent synaptic connections. Using a neuronal network model, we find that due to an input current-dependent shift in their resonance response, individual neurons in a network will arrange their phases of firing to represent varying strengths of their respective inputs. As networks encode information, neurons fire more synchronously, and this effect limits the extent to which further "learning" (in the form of changes in synaptic strength) can occur. We also demonstrate that sequential patterns of neuronal firing can be accurately stored in the network; these sequences are later reproduced without external input (in the context of subthreshold oscillations) in both the forward and reverse directions (as has been observed following learning in vivo). To test whether a similar mechanism could act in vivo, we show that periodic stimulation of hippocampal neurons coordinates network activity and functional connectivity in a frequency-dependent manner. We conclude that resonance with subthreshold oscillations provides a plausible network-level mechanism to accurately encode and retrieve information without overstrengthening connections between neurons.
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