sparse hebbian learning

An adaptive homeostatic algorithm for the unsupervised learning of visual features
“An adaptive algorithm for unsupervised learning” supplementary info : https://spikeai.github.io/HULK/ Abstract HTML PDF code for paper: https://github.com/SpikeAI/HULK code for framework: https://github.com/bicv/SparseHebbianLearning/ code for figures https://github.com/SpikeAI/HULK/blob/master/Annex.ipynb (which is rendered @ https://spikeai.
Role of homeostasis in learning sparse representations
related publication : Laurent U Perrinet (2019). An adaptive homeostatic algorithm for the unsupervised learning of visual features. Vision. Preprint PDF Cite Code DOI
Role of homeostasis in learning sparse representations
Adaptive Sparse Spike Coding : applications of Neuroscience to the compression of natural images
Adaptive Sparse Spike Coding : applications of Neuroscience to the compression of natural images
What adaptive code for efficient spiking representations? A model for the formation of receptive fields of simple cells
What adaptive code for efficient spiking representations? A model for the formation of receptive fields of simple cells
Dynamical Neural Networks: modeling low-level vision at short latencies
Dynamical Neural Networks (DyNNs) are a class of models for networks of neurons where particular focus is put on the role of time in the emergence of functional computational properties. The definition and study of these models involves the cooperation of a large range of scientific fields from statistical physics, probabilistic modelling, neuroscience and psychology to control theory.
Coding static natural images using spiking event times: do neurons cooperate?
Progressive reconstruction of a static image using spikes in a multi-scale oriented representation.
Coding static natural images using spiking event times: do neurons cooperate?
Feature detection using spikes : the greedy approach
Feature detection using spikes : the greedy approach
Coherence detection in a spiking neuron via Hebbian learning
Coherence detection in a spiking neuron via Hebbian learning
Visual Strategies for Sparse Spike Coding
Visual Strategies for Sparse Spike Coding
A generative model for Spike Time Dependent Hebbian Plasticity