A5008164172- Neural and Behavioral Psychology Studies
- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- Memory and Neural Mechanisms
- Memory Processes and Influences
- EEG and Brain-Computer Interfaces
- Advanced MRI Techniques and Applications
- Decision-Making and Behavioral Economics
- Cognitive Science and Mapping
- Child and Animal Learning Development
- Action Observation and Synchronization
- Neuroscience, Education and Cognitive Function
- Face Recognition and Perception
- Advanced Neuroimaging Techniques and Applications
- Motor Control and Adaptation
- Visual perception and processing mechanisms
- Complex Systems and Decision Making
- Neural Networks and Applications
- Mind wandering and attention
- Heart Rate Variability and Autonomic Control
- Cognitive Abilities and Testing
- Cognitive Science and Education Research
- Mental Health Research Topics
- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Information Retrieval and Search Behavior
John Brown University
2012-2025
Brown University
2015-2024
Allen Institute for Brain Science
2014-2024
Brown Institute for Media Innovation
2011-2020
Hologic (Germany)
2011-2019
Providence College
2015-2018
University of California, Berkeley
2007-2017
Massachusetts Institute of Technology
2002-2006
Stanford University
2005-2006
University of Michigan
2002
The prefrontal cortex (PFC) is central to flexible and organized action. Recent theoretical empirical results suggest that the rostro-caudal axis of frontal lobes may reflect a hierarchical organization control. Here, we test whether PFC hierarchically, based on level abstraction at which multiple representations compete guide selection Four functional magnetic resonance imaging (fMRI) experiments parametrically manipulated set task-relevant (a) responses, (b) features, (c) dimensions, (d)...
Growing evidence suggests that the prefrontal cortex (PFC) is organized hierarchically, with more anterior regions having increasingly abstract representations. How does this organization support hierarchical cognitive control and rapid discovery of action rules? We present computational models at different levels description. A neural circuit model simulates interacting corticostriatal circuits hierarchically. In each circuit, basal ganglia gate frontal actions, some striatal units gating...
What are the neural dynamics of choice processes during reinforcement learning? Two largely separate literatures have examined learning (RL) as a function experience but assuming static process, or conversely, in decision making based on values. Here we show that human RL well described by drift diffusion model (DDM) which learned trial-by-trial reward values sequentially sampled, with made when value signal crosses threshold. Moreover, simultaneous fMRI and EEG recordings revealed this...
Cognitive control allows us to think and behave flexibly based on our context goals. At the heart of theories cognitive is a representation that enables same input produce different outputs contingent contextual factors. In this review, we focus an important property representation's neural code: its representational dimensionality. Dimensionality balances basic separability/generalizability trade-off in computation. We will discuss implications for control. then briefly review current...
Memory of a past experience can interfere with processing during subsequent experience, phenomenon termed proactive interference (PI). Neuroimaging and neuropsychological evidence implicate the left mid-ventrolateral prefrontal cortex (mid-VLPFC) in PI resolution short-term item recognition, though precise mechanisms await specification. The present functional magnetic resonance imaging (fMRI) experiment sought to further constrain theorizing regarding resolution. On each trial, subjects...
The frontal lobes may be organized hierarchically such that more rostral regions modulate cognitive control operations in caudal regions. In our companion paper (Frank MJ, Badre D. 2011. Mechanisms of hierarchical reinforcement learning corticostriatal circuits I: computational analysis. 22:509–526), we provide novel neural circuit and algorithmic models cortico–striatal circuits. Here, test key model predictions using functional magnetic resonance imaging (fMRI). Our proposes contextual...
The ability to switch between multiple tasks is central flexible behavior. Although switching readily accomplished, a well established consequence of task (TS) behavioral slowing. source this cost and the contribution cognitive control its resolution remain highly controversial. Here, we tested whether proactive interference arising from memory places fundamental constraints on performance, prefrontal processes contribute overcoming these constraints. Event-related functional MRI indexed...
Reinforcement learning (RL) in simple instrumental tasks is usually modeled as a monolithic process which reward prediction errors (RPEs) are used to update expected values of choice options. This modeling ignores the different contributions memory and decision-making systems thought contribute even learning. In an fMRI experiment, we investigated how working (WM) incremental RL processes interact guide human WM load was manipulated by varying number stimuli be learned across blocks....
Achieving our goals often requires guiding access to relevant information from memory. Such goal-directed retrieval interactions between systems supporting cognitive control, including ventrolateral prefrontal cortex (VLPFC), and those declarative memory, such as the medial temporal lobes (MTL). However, pathways by which VLPFC interacts with MTL during are underspecified. Prior neuroanatomical evidence suggests that a polysynaptic ventral fronto-temporal pathway may support VLPFC–MTL...