University of Cambridge > Talks.cam > Computational Neuroscience > Integrated Spin model with global inhibition for decision making

  Browse A-Z

Log in

Cambridge users (raven)details Other usersdetails No account?details

Information on

Subscribing to talksdetails Finding a talkdetails Adding a talkdetails Disseminating talksdetails Help and Documentationdetails

Integrated Spin model with global inhibition for decision making

Add to your list(s) Download to your calendar using vCal

If you have a question about this talk, please contact Samuel Eckmann.

Humans and other organisms make decisions choosing between different options, with the aim to maximize the reward. The main theoretical framework for modeling the decision-making process has been based on the highly successful drift-diffusion model, which is a simple tool for explaining many aspects of this process. Recently, it was found that during high cognitive load and situations of uncertainty, inhibition of neuronal firing increases, but the origin of this phenomenon is not understood. Motivated by this observation, we extend a recently developed model for decision-making while animals move towards targets in real space. We introduce an Ising-type model, which includes global inhibition, and explore its role in the decision-making process. This model can explain how the brain may utilize modulation of inhibition to improve its decision-making accuracy. Compared to experimental results, this model suggests that the regime of the brain’s decision-making activity is in proximity to a critical state. Within the model, the critical region near the transition line has the advantageous property of enabling a significant decrease in error with a small increase in inhibition and also exhibits unique properties with respect to learning and memory decay.

This talk is part of the Computational Neuroscience series.

Tell a friend about this talk:

This talk is included in these lists:

Note that ex-directory lists are not shown.

Other lists

Hutchison/MRC Research Centre Seminars AI @ CL Events CrisisCamp Cambridge

Other talks

Inverse design of multiscale structures and meta-materials by topology optimization and dehomogenization Sorting out the steps: diagnosing layer formation in stratified turbulence and diffusive convection using sorted buoyancy coordinates Whole-heart electromechanical simulations using latent neural ordinary differential equations Shall Bekenstein's Area Law Prevail? From Foundation to Function: Reevaluating the Samanid Tomb through New Evidence Beta-plane jet variability: mechanisms and relevance to atmosphere and ocean
 

© 2006-2024 Talks.cam, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity