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Ring model of preferred feature detection in primary visual cortex. Supplementary source code for manuscript submitted to Frontiers in Computational Neuroscience.

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pavel-esir/ring_plasticity_V1_fcn

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Rate model network with ring connection architecture and short-term synaptic depression. Represents a cortical hypercolumn in visual coretex V1.

Was used to perform calculations for the paper https://www.frontiersin.org/articles/10.3389/fncom.2017.00021/full

ring.py is the main script which by default calculates a single trace and plots it

Variable CalcMode on 16th line defines calculation mode:

  • for value 0 single realisation with amplitude of visual stimuli C = 10 is calculated and then printed.
  • for value 1 realisations for different U, I0 is calculated and saved into files. Parameters of simulations are reflected in saved file names.
  • for value 2 U is set from argv and then single realisation is calculated (can be used for parallel calculation with GNU parallel)
  • for value 3 I0 vs U curve is calculated and saved into file by bisection method. To do this variable C on 42th line shoud be nulled.

resultsPlot.py plots the results calculated by ring.py when CalcModel was 1 or 2 (parallel calculation) For proper work variables SimTime, C, freq, N etc. should be same as in ring.py

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Ring model of preferred feature detection in primary visual cortex. Supplementary source code for manuscript submitted to Frontiers in Computational Neuroscience.

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