Mathematical Modelling of Neuronal Circuit Dynamics and Physiological Functions of Rat Cerebellum and Basal Ganglia

Abstract

The brain is a complex network that can collect new information and store it as memory to produce changes in behaviour. The brain is made up of several linked networks that each contribute uniquely to the generation of its overall activity. These networks must be studied at various organizational levels to understand the mechanisms behind physiological and pathological dynamics. However, understanding human cognition, brain functions, and dysfunctions are the major challenges in computational neuroscience. Therefore, a multiscale strategy incorporating findings from research at the microscopic, mesoscopic, and macroscopic levels might aid in overcoming the challenge. newlineIt is possible to examine the link between brain anatomy, function, and dynamics using the right experimental and modelling tools. The non-linear neuronal properties are explicitly implemented in mathematical neuronal models highlighting the contribution of both the network of neurons and a single neuron and their dynamics. Neuronal models can resolve computational problems associated with biological systems and help reconstruct the natural behaviours and changes in behavioural patterns during disorders such as autism spectrum disorder (ASD), Parkinson s Disease (PD), Alzheimer s (AD), epilepsy, etc. This study focused on investigating brain networks at various spatial and temporal scales, their importance in understanding the mechanisms behind complex movement tasks and movement related illnesses.There are different circuits in the brain which are designed to serve functions. But the interconnection between the neuronal circuits reveals more complex neuronal dynamics. Here, mathematical modelling of the cerebellum and basal ganglia (BG) was reconstructed, and spatiotemporal activities were analysed during a variety of inputs. The aim of using different networks in this study was to understand the critical contribution of each sub-structures in both functional and dysfunctional neuroscience. From a computational perspective, the BG and cerebellum..