Dendritic nonlinearities are tuned for efficient spike-based computations in cortical circuits

  1. Balazs B Ujfalussy  Is a corresponding author
  2. Judit K Makara
  3. Tiago Branco
  4. Máté Lengyel
  1. University of Cambridge, United Kingdom
  2. Institute of Experimental Medicine, Hungary
  3. MRC Laboratory of Molecular Biology, United Kingdom

Abstract

Cortical neurons integrate thousands of synaptic inputs in their dendrites in highly nonlinear ways. It is unknown how these dendritic nonlinearities in individual cells contribute to computations at the level of neural circuits. Here we show that dendritic nonlinearities are critical for the efficient integration of synaptic inputs in circuits performing analog computations with spiking neurons. We developed a theory that formalises how a neuron's dendritic nonlinearity that is optimal for integrating synaptic inputs depends on the statistics of its presynaptic activity patterns. Based on their in vivo preynaptic population statistics (firing rates, membrane potential fluctuations, and correlations due to ensemble dynamics), our theory accurately predicted the responses of two different types of cortical pyramidal cells to patterned stimulation by two-photon glutamate uncaging. These results reveal a new computational principle underlying dendritic integration in cortical neurons by suggesting a functional link between cellular and systems-level properties of cortical circuits.

Article and author information

Author details

  1. Balazs B Ujfalussy

    Computational and Biological Learning Lab, Department of Engineering, University of Cambridge, Cambridge, United Kingdom
    For correspondence
    balazs.ujfalussy@gmail.com
    Competing interests
    The authors declare that no competing interests exist.
  2. Judit K Makara

    Lendület Laboratory of Neuronal Signaling, Institute of Experimental Medicine, Budapest, Hungary
    Competing interests
    The authors declare that no competing interests exist.
  3. Tiago Branco

    MRC Laboratory of Molecular Biology, Cambridge, United Kingdom
    Competing interests
    The authors declare that no competing interests exist.
  4. Máté Lengyel

    Computational and Biological Learning Lab, Department of Engineering, University of Cambridge, Cambridge, United Kingdom
    Competing interests
    The authors declare that no competing interests exist.

Ethics

Animal experimentation: Hippocampal experiments were conducted according to methods approved by the Janelia Farm Institutional Animal Care and Use Committee and 26 the Animal Care and Use Committee (ACUC) of the Institute of Experimental Medicine, Hungarian Academy of 27 Sciences, and in accordance with 86/609/EEC/2 and DIRECTIVE 2010/63/EU Directives of the EU. Neocortical experiments were performed in strict accordance with guidelines of the Wolfson Institute for Biomedical Research and with the national guidelines.

Copyright

© 2015, Ujfalussy et al.

This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.

Metrics

  • 2,991
    views
  • 855
    downloads
  • 37
    citations

Views, downloads and citations are aggregated across all versions of this paper published by eLife.

Download links

A two-part list of links to download the article, or parts of the article, in various formats.

Downloads (link to download the article as PDF)

Open citations (links to open the citations from this article in various online reference manager services)

Cite this article (links to download the citations from this article in formats compatible with various reference manager tools)

  1. Balazs B Ujfalussy
  2. Judit K Makara
  3. Tiago Branco
  4. Máté Lengyel
(2015)
Dendritic nonlinearities are tuned for efficient spike-based computations in cortical circuits
eLife 4:e10056.
https://doi.org/10.7554/eLife.10056

Share this article

https://doi.org/10.7554/eLife.10056

Further reading

    1. Neuroscience
    Sergio Plaza-Alonso, Nicolas Cano-Astorga ... Lidia Alonso-Nanclares
    Research Article

    The entorhinal cortex (EC) plays a pivotal role in memory function and spatial navigation, connecting the hippocampus with the neocortex. The EC integrates a wide range of cortical and subcortical inputs, but its synaptic organization in the human brain is largely unknown. We used volume electron microscopy to perform a 3D analysis of the microanatomical features of synapses in all layers of the medial EC (MEC) from the human brain. Using this technology, 12,974 synapses were fully 3D reconstructed at the ultrastructural level. The MEC presented a distinct set of synaptic features, differentiating this region from other human cortical areas. Furthermore, ultrastructural synaptic characteristics within the MEC was predominantly similar, although layers I and VI exhibited several synaptic characteristics that were distinct from other layers. The present study constitutes an extensive description of the synaptic characteristics of the neuropil of all layers of the EC, a crucial step to better understand the connectivity of this cortical region, in both health and disease.

    1. Medicine
    2. Neuroscience
    Hyeonyoung Min, Yale Y Yang, Yunlei Yang
    Research Article

    It has been well documented that cold is an enhancer of lipid metabolism in peripheral tissues, yet its effect on central nervous system lipid dynamics is underexplored. It is well recognized that cold acclimations enhance adipocyte functions, including white adipose tissue lipid lipolysis and beiging, and brown adipose tissue thermogenesis in mammals. However, it remains unclear whether and how lipid metabolism in the brain is also under the control of ambient temperature. Here, we show that cold exposure predominantly increases the expressions of the lipid lipolysis genes and proteins within the paraventricular nucleus of the hypothalamus (PVH) in male mice. Mechanistically, by using innovatively combined brain-region selective pharmacology and in vivo time-lapse photometry monitoring of lipid metabolism, we find that cold activates cells within the PVH and pharmacological inactivation of cells blunts cold-induced effects on lipid peroxidation, accumulation of lipid droplets, and lipid lipolysis in the PVH. Together, these findings suggest that PVH lipid metabolism is cold sensitive and integral to cold-induced broader regulatory responses.