Jonathan E. Rubin

This paper investigates how different neuron models affect simulated basal ganglia beta oscillations, showing that the choice of integrate-and-fire model determines whether the subthalamic nucleus amplifies or suppresses beta oscillations.

The paper evaluates dopamine-modulated STDP rules in two tasks, finding that each rule performs best in specific scenarios.

This paper presents computational models of cartwheel interneurons to explore how L-type Ca2+ and BK channels influence their dynamic behavior and activity patterns.

This paper develops a computational framework to analyze decision-making dynamics in the cortico-basal ganglia-thalamic network, revealing two distinct phases: deliberation and commitment, governed by different pathways.

The paper simulates learning in a spiking cortico-basal ganglia-thalamic model to show how subnetworks reshape decision dynamics through dopamine-dependent plasticity, shifting strategies from deliberation to commitment.

The paper develops a computational model of SNr neurons to study how dopamine depletion affects firing patterns and identifies TRPC3 conductance reduction as a key factor.

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

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.

This study shows that stimulating specific neurons in the SNr of dopamine-depleted mice leads to sustained motor recovery and reduced parkinsonian symptoms, while global SNr inhibition only provides temporary effects.

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.

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.

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

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

This study uses computational models to explore KF activity dynamics and their role in normal breathing and Rett syndrome-like respiratory patterns.

This paper introduces an objective function thresholding method for brain connectomes, showing it outperforms existing methods in preserving network structure and clustering features.

The paper uses a strategic sampling approach to map CBGT network properties to decision-making parameters, identifying three control ensembles that influence decision policy qualities.

The paper tests and confirms three predictions of a biophysical model of the mammalian respiratory oscillator using optogenetic and pharmacological manipulations in neonatal mouse slices.

The paper develops a biophysical model explaining respiratory rhythm generation in the preBotC by integrating calcium dynamics and burstlet theory.

The paper examines neural activity during a reaching task in macaques and finds that basal ganglia-thalamic communication does not follow standard gating or rebound models.

This study combines experimental and computational approaches to explain and predict SNr responses to striatal and GPe inputs, revealing chloride dynamics and GPe's role in modulating SNr activity.

The paper identifies delta oscillations as a reliable biomarker for dopamine depletion and motor dysfunction in awake mice, outperforming traditional measures.

This study uses computational simulations to show that different pharmacological mechanisms of sodium current blockade can lead to distinct effects on respiratory circuits, challenging the assumption that all blockers act equivalently.

This study shows that respiratory rhythm generation remains robust across different dynamic regimes of intrinsic pacemaker properties in a computational model of the respiratory network.

The paper models how dopaminergic feedback alters corticostriatal pathway competition to influence evidence accumulation and decision-making.