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One or more keywords matched the following properties of Freedman, David
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overview Computational Cognitive and Visual Neuroscience Through experience, we learn to interpret the sights and sounds around us and to make decisions that move us closer to achieving our goals. Our ability to learn from and adapt to our ever changing environment is a foundation of complex behavior, as it allows us to make sense of incoming sensory stimuli and to plan successful actions. To study these questions, our laboratory uses advanced neurophysiological and behavioral techniques, in parallel with machine learning approaches for studying cognitive computations in artificial neural networks. Together, our work is providing insights into the brain mechanisms of visual learning, recognition and decision making.
One or more keywords matched the following items that are connected to Freedman, David
Item TypeName
Concept Behavior
Concept Computer Simulation
Concept Behavior, Animal
Concept Choice Behavior
Concept Psychomotor Performance
Concept Image Processing, Computer-Assisted
Concept Task Performance and Analysis
Concept Software
Concept Signal Processing, Computer-Assisted
Concept Artificial Intelligence
Academic Article Task-specific versus generalized mnemonic representations in parietal and prefrontal cortices.
Academic Article Neuronal Mechanisms of Visual Categorization: An Abstract View on Decision Making.
Academic Article Choice-correlated activity fluctuations underlie learning of neuronal category representation.
Academic Article Distributed functions of prefrontal and parietal cortices during sequential categorical decisions.
Academic Article Dynamic population coding of category information in inferior temporal and prefrontal cortex.
Academic Article Posterior parietal cortex: Space--and beyond.
Academic Article Visual categorization and the primate prefrontal cortex: neurophysiology and behavior.
Academic Article A comparison of primate prefrontal and inferior temporal cortices during visual categorization.
Concept Spatial Learning
Grant 2020 Neurobiology of Cognition Gordon Research Conference
Grant A Novel Software Tool for Controlling Behavioral and Neurophysiological Studies
Grant Mechanisms of Visual Trajectory Learning &Prediction
Grant CRCNS: Uncovering neurla circuit mechanisms of category computation and learning
Grant CRCNS: Multiscale dynamics of cortical circuits for visual recognition & memory
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  • Behavior
  • Development
  • Systems
  • Circuits
  • Cellular