Sandeep Sathyanandan Nair

Impaired value estimation over space explains turn-induced freezing of gait in Parkinson's disease: A cortico-basal ganglia-inspired reinforcement learning model

A Computational Model of Deep Brain Stimulation for Parkinsons Disease Tremor

This paper develops a computational model of deep brain stimulation (DBS) to study its effects on Parkinson's disease tremor by simulating cortico-basal ganglia circuitry in healthy and diseased states.

A Basal Ganglia Model for understanding Working Memory Functions in Healthy and Parkinson's Conditions

This paper develops a unified basal ganglia model to explain working memory functions in healthy and Parkinson's disease conditions, focusing on dopamine's role.

A Generalized Reinforcement Learning-Based Deep Neural Network (GRL-DNN) Agent Model for Diverse Cognitive Constructs

This paper introduces a reinforcement learning-based deep neural network model to simulate multiple cognitive functions and demonstrates its potential as a testbench for cognitive impairment research.

A Multiscale, Systems-level, Neuropharmacological Model of Cortico-Basal Ganglia System for Arm Reaching under Normal, Parkinsonian and Levodopa Medication Conditions

This paper presents a multiscale computational model of the cortico-basal ganglia system to simulate arm reaching behavior under normal, Parkinsonian, and levodopa conditions, showing how SNc cell loss and medication affect motor performance.