Journal of Neuroscience/2025
Beta and High Gamma Oscillations in the Cortico-striatal Network Reflect Reward Certainty on a Probabilistic Reversal Learning Task
Miranda F. Koloski, Morteza Salimi, Sidharth Hulyalkar, Tianzhi Tang, Sam A. Barnes, Jyoti Mishra, Dhakshin S. Ramanathan
A peer-reviewed NEATLABs study focused on cortico-striatal oscillations, reward certainty, local field potentials, optogenetic modulation, and reinforcement-learning behavioral models.
Neural dynamics and brain functionFunctional Brain Connectivity StudiesMental Health Research TopicsOrbitofrontal cortexNeuroscienceneuroscience
Cognitive, Affective, & Behavioral Neuroscience/2024
Cortico-striatal beta oscillations as a reward-related signal
M. F. Koloski, S. Hulyalkar, S. A. Barnes, J. Mishra, D. S. Ramanathan
A peer-reviewed open-access paper examining reward-locked beta activity during temporal discounting, with network-level LFP analysis and computational modeling of subjective value.
Neural dynamics and brain functionNeurotransmitter Receptor Influence on BehaviorNeural and Behavioral Psychology StudiesPsychologyOrbitofrontal cortexneuroscience
Cortico-Striatal Beta-Oscillations as a Marker of Learned Reward Value
M. Koloski Francoeur, S. Hulyalkar, T. Tang, X. Wu, L. Fakhraei, J. Mishra, D. S. Ramanathan
A NEATLABs preprint using large-scale local field potential recordings, single-unit analysis, and multiple rodent reward-learning tasks to test whether beta oscillations provide a distributed electrophysiological marker of learned reward value.
Neural dynamics and brain functionFunctional Brain Connectivity StudiesReceptor Mechanisms and SignalingVentral striatumNeuroscienceneuroscience
Biological Psychiatry, Volume 91, Issue 9, Supplement/2022
P7. Beta Oscillatory Activity Reflects Value Representation in Cortico-Striatal Reward Networks
Miranda Francoeur Koloski, Sidharth Hulyalkar, Jessica Cramer, Dhakshin Ramanathan
Abstract-only conference supplement entry proposing that ventral striatum, orbitofrontal cortex, and prefrontal cortex act together dynamically at discrete oscillatory frequencies to build reward value representations.
neuroscienceelectrophysiologyreward-valuecortico-striatalbeta-oscillationsbiological-psychiatry
Cerebral Cortex Communications/2021
Electrophysiological Correlates of Rodent Default-Mode Network Suppression Revealed by Large-Scale Local Field Potential Recordings
Leila Fakhraei, Miranda Francoeur, Pragathi P. Balasubramani, Tianzhi Tang, Sidharth Hulyalkar, Nathalie Buscher, Jyoti Mishra, Dhakshin S. Ramanathan
A NEATLABs publication connecting large-scale local field potential recordings to default-mode network suppression in rodents and analogous task-related suppression in humans.
Default mode networkFunctional Brain Connectivity StudiesNeuroscienceLocal field potentialPosterior cingulateneuroscience
Frontiers in Psychiatry/2021
Chronic, Multi-Site Recordings Supported by Two Low-Cost, Stationary Probe Designs Optimized to Capture Either Single Unit or Local Field Potential Activity in Behaving Rats
Miranda J. Francoeur, Tianzhi Tang, Leila Fakhraei, Xuanyu Wu, Sidharth Hulyalkar, Jessica Cramer, Nathalie Buscher, Dhakshin R. Ramanathan
A methods-focused NEATLABs paper about chronic multi-site recording hardware designed for single-unit or LFP activity in behaving rats.
Neural dynamics and brain functionNeuroscience and Neural EngineeringNeuroscience and Neuropharmacology ResearchLocal field potentialNeuroscienceneuroscience
Mapping Large-Scale Networks Associated with Action, Behavioral Inhibition and Impulsivity
L. Fakhraei, M. Francoeur, P. Balasubramani, T. Tang, S. Hulyalkar, N. Buscher, C. Claros, A. Terry, A. Gupta, H. Xiong, Z. Xu, J. Mishra, D. S. Ramanathan
A peer-reviewed open-access study identifying delta and theta oscillatory networks associated with action, behavioral inhibition, and impulsivity across rodent LFP and human EEG data.
Neural dynamics and brain functionFunctional Brain Connectivity StudiesEEG and Brain-Computer InterfacesNeuroscienceOrbitofrontal cortexneuroscience
Journal of Neuroscience Methods/2020
Open-source raspberry Pi-based operant box for translational behavioral testing in rodents
N. Buscher, A. Ojeda, M. Francoeur, S. Hulyalkar, C. Claros, T. Tang, A. Terry, A. Gupta, L. Fakhraei, D. S. Ramanathan
A methods paper focused on low-cost behavioral testing hardware and software for rodent neuroscience experiments, designed to support scalable and electrophysiology-compatible behavioral paradigms.
Computer sciencePersonalizationOperant conditioningRaspberry piOptogeneticsneuroscience