Alexxai Kravitz is associate professor of psychiatry at Washington University in St. Louis, where he leads a team of researchers that focuses on understanding how the brain mediates feeding and obesity in mice. In addition to a passion for understanding feeding, his lab has a strong interest in developing open-source hardware devices to study rodent behavior, and in adopting open-science practices for neuroscience research.
Alexxai Kravitz
Associate professor of psychiatry
Washington University in St. Louis
From this contributor
Unleashing the power of DIY innovation in behavioral neuroscience
Widespread adoption of open-source tools calls for more support and training.
Unleashing the power of DIY innovation in behavioral neuroscience
Explore more from The Transmitter
Autism scientists push back on CDC’s inaccurate vaccine claims
The CDC website now falsely suggests that autism-vaccine research is still an open question, prompting distrust among researchers—some of whom anticipate “more unreliable statements coming from the junta that took over” the agency.
Autism scientists push back on CDC’s inaccurate vaccine claims
The CDC website now falsely suggests that autism-vaccine research is still an open question, prompting distrust among researchers—some of whom anticipate “more unreliable statements coming from the junta that took over” the agency.
Gene replacement therapy normalizes some traits in SYNGAP1 model mice
The first published virus-based gene therapy for SYNGAP1 deletion yields benefits despite the gene’s long length and complexity.
Gene replacement therapy normalizes some traits in SYNGAP1 model mice
The first published virus-based gene therapy for SYNGAP1 deletion yields benefits despite the gene’s long length and complexity.
Does AI understand what it produces? Henk de Regt explores how we might assess understanding in machines and humans
Building on his philosophy of how scientists understand what they work on, de Regt is extending his approach to test understanding in machines.
Does AI understand what it produces? Henk de Regt explores how we might assess understanding in machines and humans
Building on his philosophy of how scientists understand what they work on, de Regt is extending his approach to test understanding in machines.