Synaesthesia is an unusual perceptual experience in which an inducer stimulus triggers a percept in a different domain in addition to its own. This project implements the model neuronal network model proposed by Shriki et al., 2016.
Reference:
Shriki, Oren, Yaniv Sadeh, and Jamie Ward. "The emergence of synaesthesia in a neuronal network model via changes in perceptual sensitivity and plasticity." PLoS computational biology 12.7 (2016): e1004959.
Below shows the learning curve of 1000 iterations of training with learning
rate 0.00035, where the network is trained with 1000 random samples drawn
from Gaussian distributions at each dimension of different modality.
Below is the authorship information of this project.
- Name: Dicong "David" Qiu
- Email: david@davidqiu.com
- Website: http://www.davidqiu.com/
Copyright (C) 2020, Dicong Qiu. All rights reserved.