Research Output
Adaptive Proactive Inhibitory Control for Embedded Real-Time Applications
  Psychologists have studied the inhibitory control of voluntary movement for many years. In particular, the countermanding of an impending action has been extensively studied. In this work, we propose a neural mechanism for adaptive inhibitory control in a firing-rate type model based on current findings in animal electrophysiological and human psychophysical experiments. We then implement this model on a field-programmable gate array (FPGA) prototyping system, using dedicated real-time hardware circuitry. Our results show that the FPGA-based implementation can run in real-time while achieving behavioral performance qualitatively suggestive of the animal experiments. Implementing such biological inhibitory control in an embedded device can lead to the development of control systems that may be used in more realistic cognitive robotics or in neural prosthetic systems aiding human movement control.

  • Type:


  • Date:

    11 June 2012

  • Publication Status:


  • Publisher

    Frontiers Media SA

  • DOI:


  • Cross Ref:


  • Funders:

    European Commission


Yang, S., McGinnity, T. M., & Wong-Lin, K. (2012). Adaptive Proactive Inhibitory Control for Embedded Real-Time Applications. Frontiers in Neuroengineering, 5,



countermanding saccade, frontal eye fields, adaptive inhibitory control, FPGA, neural network model

Monthly Views:

Available Documents