Hebbian STDP for modelling the emergence of disparity selectivity (Chauhan et al 2018)

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Accession:245409
This code shows how Hebbian learning mediated by STDP mechanisms could explain the emergence of disparity selectivity in the early visual system. This upload is a snapshot of the code at the time of acceptance of the paper. For a link to a soon-to-come git repository, consult the author's website: www.tusharchauhan.com/research/ . The datasets used in the paper are not provided due to size, but download links and expected directory-structures are. The user can (and is strongly encouraged to) experiment with their own dataset. Let me know if you find something interesting! Finally, I am very keen on a redesign/restructure/adaptation of the code to more applied problems in AI and robotics (or any other field where a spiking non-linear approach makes sense). If you have a serious proposal, don't hesitate to contact me [research AT tusharchauhan DOT com ].
Reference:
1 . Chauhan T, Masquelier T, Montlibert A, Cottereau BR (2018) Emergence of binocular disparity selectivity through Hebbian learning. J Neurosci [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Connectionist Network;
Brain Region(s)/Organism:
Cell Type(s): Abstract integrate-and-fire neuron;
Channel(s):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: MATLAB;
Model Concept(s): STDP; Synaptic Plasticity; Hebbian plasticity; Vision;
Implementer(s): Chauhan, Tushar [research at tusharchauhan DOT com]; Montlibert, Alexandre [Alexandre.Montlibert at cnrs.fr];
 
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STDP_Disparity
                            
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