Imperial College London
Alternate

Professor Claudia Clopath

Faculty of Engineering, Department of Bioengineering

Professor of Computational Neuroscience
 
 
 
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Contact

 

+44 (0)20 7594 1435c.clopath Website

 
 
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Location

 

Royal School of Mines 4.09Royal School of MinesSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Bono:2017:10.1016/j.conb.2017.08.013,
author = {Bono, J and Wilmes, K and Clopath, C},
doi = {10.1016/j.conb.2017.08.013},
journal = {Current Opinion in Neurobiology},
pages = {136--141},
title = {Modelling plasticity in dendrites: from single cells to networks},
url = {http://dx.doi.org/10.1016/j.conb.2017.08.013},
volume = {46},
year = {2017}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - One of the key questions in neuroscience is how our brain self-organises to efficiently process information. To answer this question, we need to understand the underlying mechanisms of plasticity and their role in shaping synaptic connectivity. Theoretical neuroscience typically investigates plasticity on the level of neural networks. Neural network models often consist of point neurons, completely neglecting neuronal morphology for reasons of simplicity. However, during the past decades it became increasingly clear that inputs are locally processed in the dendrites before they reach the cell body. Dendritic properties enable local interactions between synapses and location-dependent modulations of inputs, rendering the position of synapses on dendrites highly important. These insights changed our view of neurons, such that we now think of them as small networks of nearly independent subunits instead of a simple point. Here, we propose that understanding how the brain processes information strongly requires that we consider the following properties: which plasticity mechanisms are present in the dendrites and how do they enable the self-organisation of synapses across the dendritic tree for efficient information processing? Ultimately, dendritic plasticity mechanisms can be studied in networks of neurons with dendrites, possibly uncovering unknown mechanisms that shape the connectivity in our brains.
AU  - Bono,J
AU  - Wilmes,K
AU  - Clopath,C
DO  - 10.1016/j.conb.2017.08.013
EP  - 141
PY  - 2017///
SN  - 0959-4388
SP  - 136
TI  - Modelling plasticity in dendrites: from single cells to networks
T2  - Current Opinion in Neurobiology
UR  - http://dx.doi.org/10.1016/j.conb.2017.08.013
UR  - http://hdl.handle.net/10044/1/50487
VL  - 46
ER  -
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