ArticleFrontiers in cellular neuroscience2018
Intracellular Dynamics in Cuneate Nucleus Neurons Support Self-Stabilizing Learning of Generalizable Tactile Representations.
Article in Frontiers in cellular neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 36 citations in OpenAlex.
- Bioinspired spiking architecture enables energy constrained touch encoding.Nature communications · 2026Article
- The dorsal column nuclei encode and transmit the network signatures of mechanical allodynia.Cell reports · 2025Article
- The Bcm rule allows a spinal cord model to learn rhythmic movements.Biological cybernetics · 2023Article
- Edge Computing in Nature: Minimal pre-processing of multi-muscle ensembles of spindle signals improves discriminability of limb movements.Frontiers in physiology · 2023Article
- A model for self-organization of sensorimotor function: the spinal monosynaptic loop.Journal of neurophysiology · 2022Article
- A model for self-organization of sensorimotor function: spinal interneuronal integration.Journal of neurophysiology · 2022Article
- Diversified physiological sensory input connectivity questions the existence of distinct classes of spinal interneurons.iScience · 2022Article
- A functional spiking neuronal network for tactile sensing pathway to process edge orientation.Scientific reports · 2021Article
- On the Use of a Multimodal Optimizer for Fitting Neuron Models. Application to the Cerebellar Granule Cell.Frontiers in neuroinformatics · 2021Article
- A Non-spiking Neuron Model With Dynamic Leak to Avoid Instability in Recurrent Networks.Frontiers in computational neuroscience · 2021Article
- Widely Different Correlation Patterns Between Pairs of Adjacent Thalamic NeuronsFrontiers in neural circuits · 2021Article
- Orientation processing by synaptic integration across first-order tactile neurons.PLoS computational biology · 2020Article
- Tactile Decoding of Edge Orientation With Artificial Cuneate Neurons in Dynamic Conditions.Frontiers in neurorobotics · 2019Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
How the brain represents the external world is an unresolved issue for neuroscience, which could provide fundamental insights into brain circuitry operation and solutions for artificial intelligence and robotics. The neurons of the cuneate nucleus form the first interface for the sense of touch in the brain. They were previously shown to have a highly skewed synaptic weight distribution for tactile primary afferent inputs, suggesting that their connectivity is strongly shaped by learning. Here we first characterized the intracellular dynamics and inhibitory synaptic inputs of cuneate neurons
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