Dale’s principle

@article{Strata1999DalesP,
  title={Dale’s principle},
  author={Piergiorgio Strata and Rupert Harvey},
  journal={Brain Research Bulletin},
  year={1999},
  volume={50},
  pages={349-350}
}
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88 Citations
Highly Influential Citations
2
Background Citations
36
Methods Citations
7
Results Citations
1

88 Citations

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Citation Type

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Functional Implications of Dale's Law in Balanced Neuronal Network Dynamics and Decision Making
TLDR
It is argued that the one-population balanced neuronal network demonstrates more robust balanced activity for systems with less computational units, such as honeybee colonies, whereas the two-population network exhibits a more rapid response to temporal variations in network inputs, as required by the brain.
Dynamical Characteristics of Recurrent Neuronal Networks Are Robust Against Low Synaptic Weight Resolution
TLDR
It is concluded that even for simple networks with non-plastic neurons and synapses, a discretization of synaptic weights can lead to substantial deviations in the firing statistics unless the discretized is performed with care and guided by a rigorous validation process.
Large-scale dendritic spine extraction and analysis through petascale computing
TLDR
An iterative pipeline is described that couples human and machine feedback to produce accurate segmentation results in time frames that will make connectomics a more routine method for exploring how synapse biology changes across a number of biological conditions.
Learning receptive field properties of complex cells in V1
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A biologically plausible model for complex cells that learns to pool inputs from simple cells based on the presentation of natural scene stimuli and demonstrates that the learning rule can describe a diversity of complex cells, similar to those observed experimentally.
Passive Nonlinear Dendritic Interactions as a Computational Resource in Spiking Neural Networks
TLDR
It is shown that it is possible to incorporate neuron models with input-dependent nonlinearities into the Neural Engineering Framework without compromising high-level function and that nonlinear postsynaptic currents can be systematically exploited to compute a wide variety of multivariate, band-limited functions.
Primate neuronal connections are sparse in cortex as compared to mouse.
The cell biology of synapse formation
Thomas Südhof discusses the cell-biological principles underlying the assembly of specific synaptic connections with defined properties that control neural circuits.
A Biologically Plausible Spiking Neural Model of Eyeblink Conditioning in the Cerebellum
TLDR
This model is capable of reproducing key properties of eyeblink conditioning, while generating neurophysiological data that could be experimentally verified, and employs recent advances in large-scale neural network modeling to build a biologically plausible spiking neural network based on the cerebellar microcircuitry.
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References

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The recent careful review by Gasser of work on these contracture responses of denervated muscles makes it unnecessary for us to give a connected historical survey; the authors need only refer, in their proper places, to earlier observations bearing on their own.
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I have repeated the experiment of clean excision of the suprarenal glands and find that the animal, when moribund, exhibits symptoms that are referable to a hindrance of the activities of those tissues especially that are innervated by the sympathetic.