Black-box and surrogate optimization for tuning spiking neural models of striatum plasticity.

ABSTRACT: The basal ganglia (BG) is a brain structure that has long been proposed to play an essential role in action selection, and theoretical models of spiking neurons have tried to explain how the BG solves this problem. A recently proposed functional and biologically inspired network model of the striatum (an important nucleus of the BG) is based on spike-timing-dependent eligibility (STDE) and captured important experimental features of this nucleus. The model can recognize complex input patterns and consistently choose rewarded actions to respond to such sensory inputs. However, model tuning is challenging due to two main reasons. The first is the expert knowledge required, resulting in tedious and potentially biased trial-and-error procedures. The second is the computational cost of assessin

SUBMITTER: Cruz NC 

PROVIDER: S-EPMC9630480 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature