ReviewCurrent opinion in neurobiology2016
Computational implications of biophysical diversity and multiple timescales in neurons and synapses for circuit performance.
Review in Current opinion in neurobiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 80 papers.
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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.
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Who cites it
80 citing papers in PubMed.
- Anion-Engineered Organic Electrochemical Transistors With Multi-Timescale Synaptic Dynamics for Task-Adaptive Spiking Neural Networks.Small (Weinheim an der Bergstrasse, Germany) · 2026Article
- Neural timescales from a computational perspective.Nature neuroscience · 2026Review
- Neuromorphic hierarchical modular reservoirs.Nature communications · 2026Article
- Categorization is 'baked' into the brain.Nature reviews. Neuroscience · 2026Review
- Homeostatic dendritic neuron based on co-integrated volatile and non-volatile memristors for neuromorphic processing.Nature communications · 2026Article
- Adaptation modulates effective connectivity and network stability.Frontiers in computational neuroscience · 2026Article
- In vivo neural activity of electrosensory pyramidal cells: Biophysical characterization and phenomenological modeling.PLoS computational biology · 2025Article
- Neural heterogeneity enhances reliable neural information processing: Local sensitivity and globally input-slaved transient dynamics.Science advances · 2025Article
- Robust variability of grid cell properties within individual grid modules enhances encoding of local space.eLife · 2025Article
- Understanding the molecular diversity of synapses.Nature reviews. Neuroscience · 2025Review
- Exploring the singularity of human neurons: keep calm and carry on.Frontiers in synaptic neuroscience · 2025Review
- Robust variability of grid cell properties within individual grid modules enhances encoding of local space.bioRxiv : the preprint server for biology · 2024Article
- Neural networks with optimized single-neuron adaptation uncover biologically plausible regularization.PLoS computational biology · 2024Article
- Neural populations within macaque early vestibular pathways are adapted to encode natural self-motion.PLoS biology · 2024Article
- Temporal dendritic heterogeneity incorporated with spiking neural networks for learning multi-timescale dynamics.Nature communications · 2024Article
- A reservoir of timescales emerges in recurrent circuits with heterogeneous neural assemblies.eLife · 2023Article
- Neuronal diversity can improve machine learning for physics and beyond.Scientific reports · 2023Article
- Intrinsic neural diversity quenches the dynamic volatility of neural networks.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Article
- Biological complexity facilitates tuning of the neuronal parameter space.PLoS computational biology · 2023Article
20 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Despite advances in experimental and theoretical neuroscience, we are still trying to identify key biophysical details that are important for characterizing the operation of brain circuits. Biological mechanisms at the level of single neurons and synapses can be combined as 'building blocks' to generate circuit function. We focus on the importance of capturing multiple timescales when describing these intrinsic and synaptic components. Whether inherent in the ionic currents, the neuron's complex morphology, or the neurotransmitter composition of synapses, these multiple timescales prove crucial for capturing the variability and richness of circuit output and enhancing the information-carrying capacity observed across nervous systems.
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Registered trials
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