ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2013
Emergence of adaptive computation by single neurons in the developing cortex.
Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
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Who cites it
30 citing papers in PubMed.
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- Efficient information coding and degeneracy in the nervous system.Current opinion in neurobiology · 2022Review
- Repeated applications of high potassium elicit long-term changes in a motor circuit from the crab,iScience · 2022Article
- Retinal Processing: Insights from Mathematical Modelling.Journal of imaging · 2022Article
- Stability analysis of a neural field self-organizing map.Journal of mathematical neuroscience · 2020Article
- Capturing Multiple Timescales of Adaptation to Second-Order Statistics With Generalized Linear Models: Gain Scaling and Fractional Differentiation.Frontiers in systems neuroscience · 2020Article
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- Partial Adaptation to the Value Range in the Macaque Orbitofrontal Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2019Article
- Theoretical Models of Neural Development.iScience · 2018Review
- Multiplexed Spike Coding and Adaptation in the Thalamus.Cell reports · 2017Article
- Review
- Efficient sensory cortical coding optimizes pursuit eye movements.Nature communications · 2016Article
- Input-Specific Gain Modulation by Local Sensory Context Shapes Cortical and Thalamic Responses to Complex Sounds.Neuron · 2016Article
- Analysis of Neuronal Spike Trains, Deconstructed.Neuron · 2016Review
- Computational implications of biophysical diversity and multiple timescales in neurons and synapses for circuit performance.Current opinion in neurobiology · 2016Review
- Postnatal development attunes olfactory bulb mitral cells to high-frequency signaling.Journal of neurophysiology · 2015Article
- Active dendrites mediate stratified gamma-range coincidence detection in hippocampal model neurons.The Journal of physiology · 2015Article
- Automatic Adaptation to Fast Input Changes in a Time-Invariant Neural Circuit.PLoS computational biology · 2015Article
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Authors and funding
5 authors.
Funding
Abstract
Adaptation is a fundamental computational motif in neural processing. To maintain stable perception in the face of rapidly shifting input, neural systems must extract relevant information from background fluctuations under many different contexts. Many neural systems are able to adjust their input-output properties such that an input's ability to trigger a response depends on the size of that input relative to its local statistical context. This "gain-scaling" strategy has been shown to be an efficient coding strategy. We report here that this property emerges during early development as an intrinsic property of single neurons in mouse sensorimotor cortex, coinciding with the disappearance of spontaneous waves of network activity, and can be modulated by changing the balance of spike-generating currents. Simultaneously, developing neurons move toward a common intrinsic operating point and a stable ratio of spike-generating currents. This developmental trajectory occurs in the absence of sensory input or spontaneous network activity. Through a combination of electrophysiology and modeling, we demonstrate that developing cortical neurons develop the ability to perform nearly perfect gain scaling by virtue of the maturing spike-generating currents alone. We use reduced single neuron models to identify the conditions for this property to hold.
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