- Poster presentation
- Open Access
Beyond inhibition: lateral modulation of plasticity of feedforward synapses in a spiking model of V1
© Petre et al; licensee BioMed Central Ltd. 2013
- Published: 8 July 2013
- Receptive Field
- Lateral Inhibition
- Learning Rule
- Input Feature
- Neighboring Neuron
Lateral inhibition is typically used to repel neural receptive fields. Here we introduce an additional learning mechanism that modifies the plasticity for feedforward synapses based on lateral interactions. We show a model, based on evidence from biological recordings, in which a heterosynaptic learning rule in conjunction with lateral inhibition introduces competition among neurons for input features.
Our V1 model is built on a spatially distributed grid of single-compartment spiking neurons with parameters configured to model regular spiking cortical pyramidal cells, as detailed in . The model has plastic excitatory feedforward connections and local lateral inhibition between spatially proximal neurons. In our model, we observe a better overall coverage of orientation selectivity of V1 Layer 4 neurons with our heterosynaptic rule than without it. We find a larger range of orientations and less redundancy of receptive field features between neighboring neurons, as shown in Figure 1B. Such a rule could be used in a generic spiking cortical architecture to enforce independence of neural receptive fields.
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.