Earl K. Miller is Picower Professor of Neuroscience at the Massachusetts Institute of Technology, with faculty roles in the Picower Institute for Learning and Memory and the Department of Brain and Cognitive Sciences. His lab focuses on neural mechanisms of cognition, especially working memory, attention and executive control, using both experimental and computational methods. He holds a B.A. from Kent State University and an M.A. and Ph.D. from Princeton University. In 2020, he received an honorary Doctor of Science degree from Kent State University.
Earl K. Miller
Professor of neuroscience
Massachusetts Institute of Technology
Selected articles
- “An integrative theory of prefrontal cortex function” | Annual Review of Neuroscience
- “Top-down versus bottom-up control of attention in the prefrontal and posterior parietal cortices” | Science
- “The importance of mixed selectivity in complex cognitive tasks” | Nature
- “Gamma and beta bursts during working memory readout suggest roles in its volitional control” | Nature Communications
Explore more from The Transmitter
Early experience reshapes zebrafish retinal cells, alters behavior
The cells undergo a classic form of plasticity previously thought to occur only in downstream visual circuits.
Early experience reshapes zebrafish retinal cells, alters behavior
The cells undergo a classic form of plasticity previously thought to occur only in downstream visual circuits.
By
Siddhant Pusdekar
13 August 2026 | 0 min watch
Loss of interneuron plasticity may be shared hallmark of neurodevelopmental conditions
Restoring an experience-dependent interneuron plasticity gene in adulthood improves memory and cuts seizures in CNTNAP2 knockout mice, a new study shows.
Loss of interneuron plasticity may be shared hallmark of neurodevelopmental conditions
Restoring an experience-dependent interneuron plasticity gene in adulthood improves memory and cuts seizures in CNTNAP2 knockout mice, a new study shows.
By
Claudia López Lloreda
12 August 2026 | 5 min read
Neuropsychiatric MRI brain signatures fail reproducibility test
Small neuroimaging studies are unlikely to capture consistent anatomical changes related to conditions such as autism, schizophrenia and mood disorders, according to a new “wake-up call” study.
Neuropsychiatric MRI brain signatures fail reproducibility test
Small neuroimaging studies are unlikely to capture consistent anatomical changes related to conditions such as autism, schizophrenia and mood disorders, according to a new “wake-up call” study.
By
Holly Barker
12 August 2026 | 5 min read