76 citations · 103 across the 14 of their papers we have counts for
18 papers
Causal Discovery in Structural VAR Models Under Equal Noise Variance
SeyedSina Seyedi HasanAbadi, Fahimeh Arab, Erfan Nozari +1
Causal discovery from multivariate time series is challenging when causal effects may occur both across time and within the same sampling interval. This issue is especially importa…
Passivity-Based Control of Electrographic Seizures in a Neural Mass Model of Epilepsy
Gagan Acharya, Erfan Nozari
Recent advances in neurotechnologies and decades of scientific and clinical research have made closed-loop electrical neuromodulation one of the most promising avenues for the trea…
On the Emergence of Linear Behavior in Large-Scale Dynamical Systems via Spatial Averaging
Sabbir Ahmed, Hafiz Fareed Ahmed, Erfan Nozari
Various natural and engineered systems, from urban traffic flow to the human brain, can be described by large-scale networked dynamical systems. These systems are similar in being…
Neural Constraints on Cognitive Experience and Mental Health
Bita Shariatpanahi, Erfan Nozari, Soroush Daftarian +9
Understanding how neural dynamics shape cognitive experiences remains a central challenge in neuroscience and psychiatry. Here, we present a novel framework leveraging state-to-out…
Linear-Threshold Network Models for Describing and Analyzing Brain Dynamics
Michael McCreesh, Erfan Nozari, Jorge Cortes
Over the past two decades, an increasing array of control-theoretic methods have been used to study the brain as a complex dynamical system and better understand its structure-func…
Brain Modeling for Control: A Review
Gagan Acharya, Sebastian F. Ruf, Erfan Nozari
Neurostimulation technologies have seen a recent surge in interest from the neuroscience and controls communities alike due to their proven potential to treat conditions such as Pa…
Towards a Network Control Theory of Electroconvulsive Therapy Response
Tim Hahn, Hamidreza Jamalabadi, Erfan Nozari +24
Electroconvulsive Therapy (ECT) is arguably the most effective intervention for treatment-resistant depression. While large interindividual variability exists, a theory capable of…
Structural Characterization of Oscillations in Brain Networks with Rate Dynamics
Erfan Nozari, Robert Planas, Jorge Cortes
Among the versatile forms of dynamical patterns of activity exhibited by the brain, oscillations are one of the most salient and extensively studied, yet are still far from being w…
Is the brain macroscopically linear? A system identification of resting state dynamics
Erfan Nozari, Maxwell A. Bertolero, Jennifer Stiso +6
A central challenge in the computational modeling of neural dynamics is the trade-off between accuracy and simplicity. At the level of individual neurons, nonlinear dynamics are bo…
Teaching Recurrent Neural Networks to Modify Chaotic Memories by Example
Jason Z. Kim, Zhixin Lu, Erfan Nozari +2
The ability to store and manipulate information is a hallmark of computational systems. Whereas computers are carefully engineered to represent and perform mathematical operations…
Models of communication and control for brain networks: distinctions, convergence, and future outlook
Pragya Srivastava, Erfan Nozari, Jason Z. Kim +5
Recent advances in computational models of signal propagation and routing in the human brain have underscored the critical role of white matter structure. A complementary approach…
Hierarchical Selective Recruitment in Linear-Threshold Brain Networks, Part II: Multi-Layer Dynamics and Top-Down Recruitment
Erfan Nozari, Jorge Cortés
Goal-driven selective attention (GDSA) is a remarkable function that allows the complex dynamical networks of the brain to support coherent perception and cognition. Part I of this…
Hierarchical Selective Recruitment in Linear-Threshold Brain Networks, Part I: Single-Layer Dynamics and Selective Inhibition
Erfan Nozari, Jorge Cortés
Goal-driven selective attention (GDSA) refers to the brain's function of prioritizing the activity of a task-relevant subset of its overall network to efficiently process relevant…
Event-Triggered Stabilization of Nonlinear Systems with Time-Varying Sensing and Actuation Delay
Erfan Nozari, Pavankumar Tallapragada, Jorge Cortés
This paper studies the problem of stabilization of a nonlinear system with time-varying delays in both sensing and actuation using event-triggered control. Our proposed strategy se…
Heterogeneity of Central Nodes Explains the Benefits of Time-Varying Control in Complex Dynamical Networks
Erfan Nozari, Fabio Pasqualetti, Jorge Cortes
Despite extensive research and remarkable advancements in the control of complex dynamical networks, most studies and practical control methods limit their focus to time-invariant…
Network Identification with Latent Nodes via Auto-Regressive Models
Erfan Nozari, Yingbo Zhao, Jorge Cortés
We consider linear time-invariant networks with unknown topology where only a manifest subset of the nodes can be directly actuated and measured while the state of the remaining la…
Differentially Private Average Consensus: Obstructions, Trade-Offs, and Optimal Algorithm Design
Erfan Nozari, Pavankumar Tallapragada, Jorge Cortés
This paper studies the multi-agent average consensus problem under the requirement of differential privacy of the agents' initial states against an adversary that has access to all…
Differentially Private Distributed Convex Optimization via Functional Perturbation
Erfan Nozari, Pavankumar Tallapragada, Jorge Cortés
We study a class of distributed convex constrained optimization problems where a group of agents aim to minimize the sum of individual objective functions while each desires that a…