Neurodegenerative disorders (ND) are characterized by the progressive and irreversible loss of neurons. Alzheimer’s Disease (AD) is the most incident age-related ND, in which the presence of a chronic inflammatory compound seems to be related to its pathogenesis. Different stimuli in the central nervous system (CNS) can induce activation, proliferation, and changes in phenotype and […]

Dopamine (DA) responses are synonymous with the ‘reward prediction error’ of reinforcement learning (RL), and are thought to update neural estimates of expected value. A recent study by Dabney et al. enriches this picture, demonstrating that DA neurons track variability in rewards, providing a readout of risk in the brain. Read Full Article (External Site) […]

Our aim is to propose an efficient algorithm for enhancing the contrast of dark images based on the principle of stochastic resonance in a global feedback spiking network of integrate-and-fire neurons. By linear approximation and direct simulation, we disclose the dependence of the peak signal-to-noise ratio on the spiking threshold and the feedback coupling strength. […]