Evan Schaffer is assistant professor of neuroscience at the Friedman Brain Institute at the Icahn School of Medicine at Mount Sinai. His lab uses mathematical tools to understand distributed computations in the brain, identify how these computations change with learning and identify how feedback from the body impacts cognition. Schaffer received his Ph.D. at the Center for Theoretical Neuroscience, in Larry Abbott’s lab at Columbia University. He completed his postdoctoral work in Richard Axel’s Lab at Columbia University
Evan Schaffer
Assistant professor of neuroscience
Icahn School of Medicine at Mount Sinai
Selected articles
- “Inhibitory stabilization of the cortical network underlies visual surround suppression” | Neuron
- “A complex-valued firing-rate model that approximates the dynamics of spiking networks” | PLoS Computational Biology
- “Odor perception on the two sides of the brain: Consistency despite randomness” | Neuron
- “The spatial and temporal structure of neural activity across the fly brain” | Nature Communications
- “Behavioral fingerprinting of the naked mole-rat uncovers signatures of eusociality and social touch” | bioRxiv
Explore more from The Transmitter
Neuro’s ark: Spying on the secret sensory world of ticks
Carola Städele, a self-proclaimed “tick magnet,” studies the arachnids’ sensory neurobiology—in other words, how these tiny parasites zero in on their next meal.
Neuro’s ark: Spying on the secret sensory world of ticks
Carola Städele, a self-proclaimed “tick magnet,” studies the arachnids’ sensory neurobiology—in other words, how these tiny parasites zero in on their next meal.
Autism in old age, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 2 March.
Autism in old age, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 2 March.
Lack of reviewers threatens robustness of neuroscience literature
Simple math suggests that small groups of scientists can significantly bias peer review.
Lack of reviewers threatens robustness of neuroscience literature
Simple math suggests that small groups of scientists can significantly bias peer review.