A Spiking-Neural-Network Model for Slow Ramping in the Human Brain

Watch a conference talk exploring a spiking-neural-network model that investigates slow ramping phenomena in human brain activity. Delve into cutting-edge neuroscience research presented by Uri Maoz from Chapman University at the "Theorizing and Modeling in Neuroscience" conference. Learn about the complex interactions between neural networks and gradual signal accumulation in the brain, drawing from interdisciplinary perspectives spanning mathematics, philosophy, physics, and behavioral sciences. Gain insights from this collaborative academic endeavor organized by leading researchers Marco Panza, Thomas Pradeu, Michael Ibba, Uri Maoz, and Aaron Schurger, representing a significant contribution to our understanding of neural modeling and theoretical neuroscience.