Biophysical modeling of brain activity has a long and illustrious history (Ermentrout, 1998;
Deco et al., 2008; Coombes, 2010) and has recently profited from technological advances …

Experimental studies on the Lateral Geniculate Nucleus (LGN) of mammals and rodents
show that the inhibitory interneurons (IN) receive around 47.1% of their afferents from the …

Based on a modified neural field network model composed of cortex and thalamus, we here
propose a computational framework to investigate the onset control of absence seizure …

Brain rhythms emerge from the mean-field activity of networks of neurons. There have been
many efforts to build mathematical and computational embodiments in the form of discrete …

We present a preliminary study of a thalamo-cortico-thalamic (TCT) implementation on
SpiNNaker (Spiking Neural Network architecture), a brain inspired hardware platform …

Transcranial magnetic stimulation (TMS) is a noninvasive brain stimulation technique used
in the treatment of several neurological conditions. The dosage parameter for TMS protocols …

Neural circuits have explained motor learning observed in animal populations, and plastic
synaptic reorganization, but simulation of network modeling at larger scales lacks circuit …

Computational modelling in neuroscience is gaining in popularity towards investigating
neurological and psychiatric disorders. One of the major obstacles in faster progress in this …

We present a quantitative study of phase entrainment by periodic visual stimuli in a
biologically inspired neural network. The objective is to understand the neuronal population …

We have made a comparative study of three optimisation algorithms viz. Random Search
(RS), Grid Search (GS) and Bayesian Optimization (BO) to find optimal hyperparameter …