ReviewEMBO reports2006
Inside the brain of a neuron.
Review in EMBO reports, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
22 citing papers in PubMed, 84 citations in OpenAlex.
- Robust input disentanglement through dendritic calcium-mediated action potentials.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Integrating chemical artificial intelligence and cognitive computing for predictive analysis of biological pathways: a case for intrinsically disordered proteins.Biophysical reviews · 2025Review
- Electrolyte Gated Transistors for Brain Inspired Neuromorphic Computing and Perception Applications: A Review.Nanomaterials (Basel, Switzerland) · 2025Review
- Engineered biological neuronal networks as basic logic operators.Frontiers in computational neuroscience · 2025Article
- Synapses tagged, memories kept: synaptic tagging and capture hypothesis in brain health and disease.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024Review
- An Insight into Cellular and Molecular Mechanisms Underlying the Pathogenesis of Neurodegeneration in Alzheimer's Disease.Biomedicines · 2023Review
- Improving a cortical pyramidal neuron model's classification performance on a real-world ecg dataset by extending inputs.Journal of computational neuroscience · 2022Article
- In Times of Adversity: A Neuroscience Perspective on Stress, Health, and Implications for Society Post-pandemic.The Yale journal of biology and medicine · 2022Review
- Microenvironment and the progress of immunotherapy in clinical practice of NSCLC brain metastasis.Frontiers in oncology · 2022Review
- Drosophila Dendritic Arborisation Neurons: Fantastic Actin Dynamics and Where to Find Them.Cells · 2021Review
- Review
- Immunolocalization of muscarinic M1 receptor in the rat medial prefrontal cortex.The Journal of comparative neurology · 2018Article
- Modeling fMRI signals can provide insights into neural processing in the cerebral cortex.Journal of neurophysiology · 2015Review
- Semantic processing of English sentences using statistical computation based on neurophysiological models.Frontiers in physiology · 2015Article
- Inter-synaptic learning of combination rules in a cortical network model.Frontiers in psychology · 2014Article
- Parameter estimation of a spiking silicon neuron.IEEE transactions on biomedical circuits and systems · 2012Article
- Beyond faithful conduction: short-term dynamics, neuromodulation, and long-term regulation of spike propagation in the axon.Progress in neurobiology · 2011Review
- Encoding of spatio-temporal input characteristics by a CA1 pyramidal neuron model.PLoS computational biology · 2010Article
- Molecular and cellular approaches to memory allocation in neural circuits.Science (New York, N.Y.) · 2009Review
- Complex intrinsic membrane properties and dopamine shape spiking activity in a motor axon.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2009Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
For many decades, neurons were considered to be the elementary computational units of the brain and were assumed to summate incoming signals and elicit action potentials only in response to suprathreshold stimuli. Although modelling studies predicted that single neurons constitute a much more powerful computational entity, able to perform an array of nonlinear calculations, this possibility was not explored experimentally until the discovery of active mechanisms in the dendrites of most neuron types. Here, we review several modelling studies that have addressed information processing in single neurons, starting with those characterizing the arithmetic of different dendritic components, to those tackling neuronal integration at the cell body and, finally, those analysing the computational abilities of the axon. We present modelling predictions along with supporting experimental data in an effort to highlight the significant contribution of modelling work to enhancing our understanding of single-neuron arithmetic.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.