Inhibitory connections in the assembly neural network for texture segmentation

We propose multi-scale stochastic regional texture appearance models for image segmentation.An image representation is constructed using an iterative bilateral scale space decomposition.Local texture features are extracted via random projections ...

Neural-network dynamics frequently organize in assemblies of synchronized neurons that are thought to encode and store sensory information. We have investigated the mechanisms leading to the emergence of these neural assemblies with models of coupled ...

Spiking neural networks (SNNs) are believed to be highly energy- and computationally efficient machine learning algorithms, especially when implemented on neuromorphic hardware. Some recent studies have revealed that lateral (intralayer) ...