Jyotika Bahuguna

Temporal stability of functional network configurations and its relationship to cognition and psychopathology in early psychoses

The paper examines dynamic brain network changes in early psychoses using maximum entropy models, finding temporally unstable network configurations linked to cognitive deficits.

Locus coeruleus-hippocampal pathway activation promotes spatial memory updating during reversal learning

This study shows that activating the locus coeruleus-hippocampal pathway improves spatial memory updating during reversal learning but not initial spatial learning.

CBGTPy: An extensible cortico-basal ganglia-thalamic framework for modeling biological decision making

CBGTPy is a framework for simulating cortico-basal ganglia-thalamic dynamics in decision-making tasks, enabling testable predictions of behavior and neural activity.

Interdependence patterns of multi-frequency oscillations predict visuomotor behavior

The paper shows that coordinated oscillations across brain regions and frequencies predict visuomotor behavior and movement accuracy.

Energy of functional brain states correlates with cognition in adolescent-onset schizophrenia and healthy persons

The paper uses maximum entropy models to analyze brain activity patterns in adolescent-onset schizophrenia and healthy controls, finding higher energy states correlate with worse cognitive performance and psychopathology.

Arkypallidal neurons in the external globus pallidus can mediate inhibitory control by altering competition in the striatum

This study investigates the role of arkypallidal neurons in the external globus pallidus in mediating inhibitory control by modulating competition in the striatum through a biologically-constrained spiking model.

How cortico-basal ganglia-thalamic subnetworks can shift decision policies to maximize reward rate

The paper uses computational simulations to show how dopaminergic plasticity in cortico-striatal synapses adjusts control ensembles in CBGT circuits to improve reward rate during learning.

Diagnostically distinct resting state fMRI energy distributions: A subject-specific maximum entropy modeling study

This study uses maximum entropy modeling to analyze resting state fMRI data and identifies diagnostically distinct energy distributions across psychiatric disorders.

Competing neural representations of choice shape evidence accumulation in humans

The paper shows how dopaminergic plasticity shifts evidence accumulation in humans by altering competition between action representations during decision-making.

Cerebellar connectivity maps embody individual adaptive behavior

The paper shows that cerebellar connectivity maps in mice vary with locomotor conditions and correlate with individual behavioral features.

Uncoupling the roles of firing rates and spike bursts in shaping the STN-GPe beta band oscillations.

This study uses numerical simulations to show that STN firing rates drive beta oscillations, while GPe firing rates and spike bursting have state-dependent effects on beta band oscillations in the STN-GPe network.

Activity Dynamics and Signal Representation in Striatal Network Model with Distance-dependent Connectivity

This study investigates how distance-dependent connectivity in striatal network models affects activity dynamics, finding that different connectivity structures lead to distinct activity patterns associated with normal function and disease states.