Somatic inhibition controls dendritic selectivity in a sparse coding network of spiking neurons
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Abstract
Sparse coding is an effective operating principle for the brain, one that can guide the discovery of features and support the learning of assocations. Here we show how spiking neurons with discrete dendrites can learn sparse codes via an online, nonlinear Hebbian rule based on the concept of somato-dendritic mismatch. The rule gives lateral inhibition direct control over the selectivity of dendritic receptive fields, without the need for a sliding threshold. The network discovers independent components that are similar to the features learned by a sparse autoencoder. This improves the linear decodability of the input: combined with a linear readout, our single-layer network performs as well as a deeper multi-layer Perceptron on the MNIST dataset. It can also produce topographic feature maps when the lateral connections are organised in a center-surround pattern, although this does not improve the quality of the encoding.
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2016. Somatic inhibition controls dendritic selectivity in a sparse coding network of spiking neurons. PeerJ Preprints 4:e2595v1 https://doi.org/10.7287/peerj.preprints.2595v1Author comment
This is a preprint submission to PeerJ Preprints.
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Competing Interests
The author declares that they have no competing interests.
Author Contributions
Damien Drix conceived and designed the experiments, performed the experiments, analyzed the data, wrote the paper, prepared figures and/or tables, performed the computation work, reviewed drafts of the paper.
Data Deposition
The following information was supplied regarding data availability:
The research in this article did not generate, collect or analyse any raw data.
The code will be included with the peer-reviewed article.
Funding
The research behind this work was partly funded by the GRK 1589/1 and 1589/2 (Sensory Computation in Neural Systems) of the Deutsche Forschungsgemeinschaft. It also received funding from the European Union's Seventh Framework Programme (FP7/2007-2013) under grant agreement n° 609465. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.