Computational Implications of Biophysical Diversity and Multiple Timescales in Neurons and Synapses for Circuit Performance

By Julijana Gjorgjieva, G. Drion, Eve Marder. 2016

147 citations recorded by the source corpus.

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.

Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience, Electrical and Electronic Engineering

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The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cellular and Molecular Neuroscience

  1. Lawrence C. Udeigwe
  2. Paul W. Munro
  3. G. Bard Ermentrout

In Cognitive Neuroscience

  1. Lawrence C. Udeigwe
  2. Paul W. Munro
  3. G. Bard Ermentrout

In Electrical and Electronic Engineering

  1. Lawrence C. Udeigwe
  2. Paul W. Munro
  3. G. Bard Ermentrout

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