A5090572912- Neural dynamics and brain function
- Memory and Neural Mechanisms
- Functional Brain Connectivity Studies
- Neural and Behavioral Psychology Studies
- Memory Processes and Influences
- EEG and Brain-Computer Interfaces
- Visual perception and processing mechanisms
- Mental Health Research Topics
- Neuroscience and Music Perception
- Bayesian Methods and Mixture Models
- Statistical Methods and Bayesian Inference
- Neural Networks and Applications
- Neuroscience and Neuropharmacology Research
- Time Series Analysis and Forecasting
- Child and Animal Learning Development
- Markov Chains and Monte Carlo Methods
- Gaussian Processes and Bayesian Inference
- Topic Modeling
- Neurological disorders and treatments
- Machine Learning and Algorithms
- Identity, Memory, and Therapy
- Face Recognition and Perception
- Bayesian Modeling and Causal Inference
- Decision-Making and Behavioral Economics
- Cognitive Science and Mapping
University of Virginia
1998-2024
McCormick (United States)
2019-2024
The Ohio State University
2010-2020
Princeton University
2006-2011
California University of Pennsylvania
2007
University of Pennsylvania
2006
Brandeis University
2003
Boston Children's Hospital
2003
Boston Children's Museum
2003
Neurological Surgery
1998-2002
Electrophysiological and hemodynamic measures of human brain activity have been shown to distinguish between episodes encoding items that are later recalled versus those not (Paller Wagner, 2002). Using intracranial recordings from 793 widespread cortical subcortical sites in 10 epileptic patients undergoing invasive monitoring, we compared oscillatory power at frequencies ranging 2 64 Hz as participants studied lists common nouns. Significant increases during predicted subsequent recall,...
Functional magnetic resonance imaging (fMRI) of the human brain has shown that hippocampus and left temporal frontal cortices play a key role in formation new verbal memories. We recorded electrical activity from 2349 surgically implanted intracranial electrodes epilepsy patients while they studied later recalled lists common words. Using these recordings, we demonstrate gamma oscillations (44–64 Hz) predict successful encoding This increase was not seen other frequency bands, whose...
The authors present a new model of free recall on the basis M. W.Howard and J. Kahana's (2002a) temporal context M
Bayesian estimation has played a pivotal role in the understanding of individual differences. However, for many models psychology, model parameters can be difficult. One reason this difficulty is that conventional sampling algorithms, such as Markov chain Monte Carlo (MCMC), inefficient and impractical when little known about target distribution--particularly distribution's covariance structure. In article, we highlight some reasons inefficiency advocate use population MCMC algorithm, called...
Significance The rodent hippocampus contains neurons that code for space on the scale of meters, a discovery was recently awarded Nobel Prize. However, it remains unclear whether humans harness similar representations memory at their lives. Our results reveal human represents spatial and temporal location memories real-life events scales up to 30 km month time. They further suggest real-world time are more intimately entwined in than previously thought, validating relevance decades studies...
To test whether distinct patterns of electrophysiological activity prior to a response can distinguish true from false memories, we analyzed intracranial electroencephalographic recordings while 52 patients undergoing treatment for epilepsy performed verbal free-recall task. These analyses revealed that the same pattern gamma-band (28-100 Hz) oscillatory predicts successful memory formation at item encoding--increased gamma power in hippocampus, prefrontal cortex, and left temporal...
The successor representation was introduced into reinforcement learning by Dayan ( 1993 ) as a means of facilitating generalization between states with similar successors. Although in general has been used extensively model psychological and neural processes, the validity yet to be explored. An interesting possibility is that can not only for but episodic well. Our main contribution show variant temporal context (TCM; Howard & Kahana, 2002 ), an influential memory, understood directly...
Eye movements are an important data source in vision science. However, the vast majority of eye movement studies ignore sequential information and utilize only first-order statistics. Here, we present a novel application temporal-difference learning algorithm to construct scanpath successor representation (SR; P. Dayan, 1993) that captures statistical regularities temporally extended sequences. We demonstrate effectiveness SR on from participants solving items Raven's Advanced Progressive...
Human perception is supported by regions of ventral visual cortex that become active when specific types information appear in the environment. This coupling has led to a common assumption cognitive neuroscience stimulus-evoked activity these only reflects about current stimulus. Here we challenge this for how scenes are represented scene-selective region parahippocampal cortex. treated two identical as more similar they were preceded time same stimuli compared different stimuli. These...
The study objective was to evaluate the safety and efficacy of deep brain stimulation (DBS) at ventral capsule/ventral striatum (VC/VS) region specifically modulate frontal lobe behavioral cognitive networks as a novel treatment approach for Alzheimer's disease (AD) patients. This is non-randomized phase I prospective open label interventional trial three subjects with matched comparison groups. AD participants given DBS least 18 months VC/VS target were compared on Clinical Dementia...