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Items (1-20) out of 31 results

A Discriminative Approach to Bayesian Filtering with Applications to Human Neural Decoding

Description:
Given a stationary state-space model that relates a sequence of hidden states and corresponding measurements or observations, Bayesian filtering provides a principled statistical framework for …
Year:
2019
Contributor:
Burkhart, Michael C. (creator)
Harrison, Matthew (Advisor)
Gidas, Basilis (Reader)
Darbon, Jerome (Reader)
Brown University. Department of Applied Mathematics (sponsor)
Genre:
theses
Subject:
Machine Learning
Brain-computer interfaces
Gaussian processes
Bayesian filtering
Supervised learning (Machine learning)
Neural decoding
Hidden Markov models
State-space models
Neural networks (Computer science)
Computational neuroscience
Discriminative probabilistic modeling
Nonparametric statistics
Collection:
Applied Mathematics
Theses and Dissertations
Full Record

A modeling investigation of the calcium dynamics underlying human EEG signals

Description:
Electroencephalography (EEG) signals are created by electrical currents from pyramidal neurons in the outer layer of the brain. These signals are easy to obtain and …
Year:
2020
Contributor:
Pugliese, Sarah M. (creator)
Jones, Stephanie (thesis advisor)
Harrison, Matthew (reader)
Brown University. Applied Mathematics (sponsor)
Genre:
theses
Subject:
Dendrites--Mathematical models
Calcium channels
Electroencephalography
Computational neuroscience
Neurons--Mathematical models
Language:
English
Collection:
Applied Mathematics
Theses and Dissertations
Full Record

Adversarial and Real World Image Robustness of Computer Vision Models With Better Human Visual Strategy Alignment

Description:
Deep neural networks (DNNs), which are based loosely on the ventral stream pathway of the primate visual system, are good models of the visual system …
Year:
2023
Contributor:
Olaiya, Stephanie O. (creator)
Serre, Thomas (thesis advisor)
Brown University. Neuroscience (sponsor)
Genre:
theses
Subject:
Computer vision
Vision
Computational neuroscience
Neuroscience
Language:
English
Collection:
Neuroscience
Theses and Dissertations
Full Record

Attractor Dynamics in Large Scale Recurrent Neural Networks

Description:
Biological brains are dynamic. Recent advances in electrophysiology and neuroimaging have helped uncover various mechanisms through which brains construct and utilize rich variations in neural …
Year:
2023
Contributor:
Govindarajan, Lakshmi Narasimhan (creator)
Serre, Thomas (Advisor)
Frank, Michael (Reader)
Badre, David (Reader)
Brown University. Department of Cognitive, Linguistic, and Psychological Sciences (sponsor)
Genre:
theses
Subject:
Machine Learning
Computer Vision
Neural networks (Computer science)
Computational neuroscience
Deep Learning
Attractors (Mathematics)
Collection:
Cognitive, Linguistic, and Psychological Sciences
Theses and Dissertations
Full Record

Biophysical and Architectural Mechanisms of Subthalamic Theta under Response Conflict

Description:
The need to arrest ongoing or planned actions is a hallmark of adaptive control that is crucial for goal-directed behaviors and survival. When the brain …
Year:
2019
Contributor:
Moolchand, Prannath (creator)
Connors, Barry (Reader)
Asaad, Wael (Reader)
Kopell, Nancy (Reader)
Frank, Michael (Advisor)
Jones, Stephanie (Reader)
Brown University. Department of Neuroscience (sponsor)
Genre:
theses
Subject:
Neurosciences
Cognitive neuroscience
Multiscale modeling
Response Inhibition
Subthalamic nucleus
Computational neuroscience
Basal ganglia
Theta rhythm
Biophysical Modeling
Subthalamopallidal Network
NMDA
Response Conflict
Cognitive rhythms
Corticosubthalamic topography
Hyperdirect pathway
mPFC-STN
Collection:
Neuroscience
Theses and Dissertations
Full Record

Biophysical Simulations for Effective Neuropharmacology Treatment: A Market Analysis and Commercialization Strategy for the Human Neocortical Neurosolver

Description:
Drug development within the pharmaceutical industry has historically proven to be a challenging feat. Investigational drug trials have a 90% failure rate due to adverse …
Year:
2025
Contributor:
Hohil, Adrianna Adela (creator)
Holmander, Daniel (Reader)
Huang, Eric (Reader)
Jones, Stephanie (Advisor)
Brown University. Biology and Medicine: Biotechnology (sponsor)
Genre:
theses
Subject:
Software
Computational neuroscience
Evoked potentials (Electrophysiology)
Simulations
Commercialization
Collection:
Biology and Medicine
Biotechnology
Theses and Dissertations
Full Record

Biophysical Simulations for Effective Neuropharmacology Treatment: A Market Analysis and Commercialization Strategy for the Human Neocortical Neurosolver

Description:
Drug development within the pharmaceutical industry has historically proven to be a challenging feat. Investigational drug trials have a 90% failure rate due to adverse …
Year:
2025
Contributor:
Hohil, Adrianna Adela (creator)
Holmander, Daniel (Reader)
Huang, Eric (Reader)
Jones, Stephanie (Advisor)
Brown University. Biology and Medicine: Biotechnology (sponsor)
Genre:
theses
Subject:
Electroencephalography
Computational neuroscience
EEG biomarker
Neuroscience
Commercialization
Collection:
Biology and Medicine
Theses and Dissertations
Biotechnology
Full Record

Brain Connectivity Analysis using fMRI Data

Description:
In many real-world applications, e.g., brain imaging and or weather patterns, data are captured over particular periods or intervals, which we call time series. Time …
Year:
2020
Contributor:
Cao, Xuefei (creator)
Sandstede, Björn (Advisor)
Luo, Xi (Reader)
Harrison, Matthew (Reader)
Brown University. Department of Applied Mathematics (sponsor)
Genre:
theses
Subject:
Applied mathematics
Statistics
fmri
Computational neuroscience
Collection:
Applied Mathematics
Theses and Dissertations
Full Record

Bridging biophysics and emergent dynamics through deep learning assisted modeling of the neocortex

Description:
An essential goal in systems neuroscience is to understand how cell-level properties give rise to emergent network-level activity. An accurate mechanistic understanding of emergent dynamics …
Year:
2025
Contributor:
Tolley, Nicholas (creator)
Jones, Stephanie (Advisor)
Vargas-Irwin, Carlos (Reader)
Donoghue, John (Reader)
Moore, Christopher (Reader)
Einevoll, Gaute (Reader)
Brown University. Department of Neuroscience (sponsor)
Genre:
theses
Subject:
Biophysics
Neocortex
Computational neuroscience
Deep Learning
Bayesian Machine Learning
EEG biomarker
Neural Dynamics
Digital twins (Computer simulation)
Collection:
Neuroscience
Theses and Dissertations
Full Record

Characterizing Beta Event-Locked Oscillations in Human Electrophysiology Data

Description:
Beta frequency rhythms (15-29 Hz) are prominent signatures of brain activity that can be measured using electro/magnetoencephalography (EEG/MEG). High beta activity is associated with inhibited …
Year:
2020
Contributor:
Jayaram, Rahul (creator)
Dr. Stephanie Jones (advisor)
Brown University. Karen T. Romer Undergraduate Teaching and Research Awards (research program)
Genre:
posters
Subject:
Electrophysiology
Computational neuroscience
Signal processing
Language:
English
Collection:
Summer Research Symposium
Full Record

Computation beyond Neurons: A mechanistic proposal for the integration of vascular to neural signaling in dopaminergic axons

Description:
Information processing in the brain serves to meet body needs—to adapt behavior to best create the behaviors that will address the needs of the system. …
Year:
2020
Contributor:
Rana, Chahat (creator)
Moore, Christopher (thesis advisor)
Jones, Stephanie (reader)
Fleischmann, Alexander (reader)
Brown University. Independent Concentrations (sponsor)
Genre:
theses
Subject:
Computational neuroscience
Dopamine
Language:
English
Collection:
Office of the Dean of the College
Independent Concentrations
Theses and Dissertations
Full Record

Computational and Behavioral Mechanisms of In-Context Learning

Description:
Sensory features of the environment change continuously, often in context-dependent ways that alter their underlying statistical structure. Recognizing and responding appropriately to such changes requires …
Year:
2026
Contributor:
Rashed Ahmed, Abdullah P (creator)
Sheinberg, David (Reader)
Serre, Thomas (Advisor)
Nassar, Matthew (Reader)
Frank, Michael (Reader)
Gold, Joshua (Reader)
Brown University. Department of Neuroscience (sponsor)
Genre:
theses
Subject:
behavioral neuroscience
Computational neuroscience
Collection:
Neuroscience
Theses and Dissertations
Full Record

Decoding Biomarkers of Parkinson’s Disease Using Convolutional Regression Networks

Description:
The applications of convolutional neural networks (CNN) are nearly endless. As a popular method for image classification, they have demonstrated the ability to categorize Parkinson’s …
Year:
2020
Contributor:
Lee, Shane (Author)
Liu, David (Author)
Zheng, Bryan (Author)
Asaad, Wael (Author)
Brown University. Alpert Medical School. Scholarly Concentration Program. Non-Scholarly Concentrator (research program)
Subject:
Neural networks (Computer science)
Parkinson's disease
Computational neuroscience
Language:
English
Collection:
Warren Alpert Medical School Academic Symposium
Full Record

Fractal Scaling in Heart Rate Variability Dynamics in Relation to Cognitive Load

Description:
Heart Rate Variability (HRV) is examined in studies of exercise physiology and general medicine. It reflects the balance between the parasympathetic and sympathetic systems of …
Year:
2022
Contributor:
Tran, Lily (creator)
Andrew Westbrook (advisor)
Brown University. Undergraduate Teaching and Research Awards (research program)
Genre:
posters
Subject:
Neurosciences
Cognitive neuroscience
Statistics
Computational neuroscience
Central nervous system
Heart beat
Fractals--Data processing
Time-series analysis--Data processing
Language:
English
Collection:
Summer Research Symposium
Full Record

Inhibition-Driven Dynamics of Stimulus Representation and Deviance Detection in the Neocortical Column

Description:
Neocortical circuits respond with distinct sensitivity to unexpected ‘deviant’ stimuli, an amplification mechanism widely regarded as crucial for sensory processing. Despite extensive characterization of stimulus-evoked …
Year:
2024
Contributor:
Thorpe, Ryan V (creator)
Jones, Stephanie (Advisor)
Moore, Christopher (Reader)
Nassar, Matthew (Reader)
Sherif, Mohamed (Reader)
Brown University. Department of Neuroscience (sponsor)
Genre:
theses
Subject:
Computational neuroscience
Neural Dynamics
Neural Coding
Collection:
Neuroscience
Theses and Dissertations
Full Record

Investigating methods for decoding color information from EEG data

Description:
Visual working memory forms the foundation of how humans maintain and manipulate visual information for cognitive processing. Our study investigates whether neural representations of color …
Year:
2025
Contributor:
Ma, Xueru (creator)
Nassar, Matt (Advisor)
Brown University. School of Engineering (sponsor)
Genre:
theses
Subject:
Computational neuroscience
Collection:
Engineering
Theses and Dissertations
Available to Brown-affiliated users only
Full Record

Investigating Midfrontal Theta Signal and Learning

Description:
Authors: Tiantian Li, Meera Singh, Rasmus Bruckner, Michael J. Frank, Matthew Nassar. An increase in midfrontal theta signal (4-7 Hz) in the brain has been …
Year:
2021
Contributor:
Meera Singh (creator)
Li, Tiantian (creator)
Bruckner, Rasmus (creator)
Frank, Michael J. (creator)
Nassar, Matthew (creator)
Matthew Nassar (advisor)
Brown University. Learning Memory and Decision Lab (research program)
Genre:
posters
Subject:
Electroencephalography
Computational neuroscience
Neuroscience
Theta rhythm
Learning
Language:
English
Collection:
Summer Research Symposium
Full Record

Learning adaptive gating strategies underlies effective working memory across biological and artificial networks

Description:
Working memory is necessary for many everyday tasks and yet there are many open questions about working memory capacity, individual differences in working memory, and …
Year:
2025
Contributor:
Soni, Aneri (creator)
Frank, Michael (Advisor)
Jones, Stephanie (Reader)
Serre, Thomas (Reader)
Sheinberg, David (Reader)
Jaeggi, Susanne (Reader)
Brown University. Department of Neuroscience (sponsor)
Genre:
theses
Subject:
Reinforcement learning
Computational neuroscience
Working memory
Neural Networks
Large Language Models
Chunking
Collection:
Neuroscience
Theses and Dissertations
Full Record

Mathematical model of neocortex predicts that dendritic calcium spikes are visible in human EEG signals

Description:
Computational modeling is a powerful tool for studying how the activity of cells in a neural network is read out into human electroencephalography (EEG) signals. …
Year:
2019
Contributor:
Pugliese, Sarah (creator)
Jones, Stephanie (creator)
Jones, Stephanie (advisor)
Brown University. Karen T. Romer Undergraduate Teaching and Research Awards (research program)
Genre:
posters
Subject:
Applied mathematics
Dendrites
Dendrites--Mathematical models
Calcium channels
Electroencephalography--Mathematical models
Electroencephalography
Neurons
Computational neuroscience
Neocortex
Neural networks (Neurobiology)--Mathematical models
Language:
English
Collection:
Summer Research Symposium
Full Record

Neural Mechanisms of Perceptual Grouping

Description:
Progress in deep feedforward neural networks has spawned great successes in many practical applications, but these models struggle to reproduce human-level generalization in tasks that …
Year:
2019
Contributor:
Kim, Junkyung (creator)
Serre, Thomas (Advisor)
Warren, William (Reader)
Bienenstock, Elie (Reader)
Brown University. Department of Cognitive, Linguistic, and Psychological Sciences (sponsor)
Genre:
theses
Subject:
Machine Learning
Computer Vision
Neural networks (Computer science)
Computational neuroscience
Deep Learning
Perceptual grouping
Feedback (Psychology)
Collection:
Cognitive, Linguistic, and Psychological Sciences
Theses and Dissertations
Full Record

Items (1-20) out of 31 results