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

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 ].

Model Type: Connectionist Network

Cell Type(s): Abstract integrate-and-fire neuron

Model Concept(s): STDP; Synaptic Plasticity; Hebbian plasticity; Vision

Simulation Environment: MATLAB

Implementer(s): Chauhan, Tushar [research at tusharchauhan DOT com]; Montlibert, Alexandre [Alexandre.Montlibert at cnrs.fr]


Chauhan T, Masquelier T, Montlibert A, Cottereau BR. (2018). Emergence of Binocular Disparity Selectivity through Hebbian Learning. The Journal of neuroscience : the official journal of the Society for Neuroscience. 38 [PubMed]

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