John Lisman (Brandeis University, Massachusetts) discusses his work on the brain’s navigation coding, arguing how sets of faster oscillations nested in slower cycles may constitute a general communication principle in the brain.
Edvard Moser (Kavli Institute and Centre for Neural Computation, Norway; Nobel prize 2014) discusses the work of his group, his wife and himself on the brain’s computation of spatial memory.
Gregg Recanzone (UC Davis, California) talks about his older work on plasticity in the adult brain. With Paul Verschure and Toby Prescott he discuss how neurons keep adapting to a type of input they are receiving.
Barbara Finlay (Cornell University, New York) focuses on causal relations between brain structure and an animal’s evolutionarily differentiated behaviour. She discusses the ways brains do change, but in a quite constraint fashion.
Randall D Beer (Indiana University, Bloomington) discusses the use of dynamical systems theory as a mathematical 'lens' or language to study the brain and its processes. Interviewed by Paul Verschure and Tony Prescott.
Zoltán Monár (Physiology, Anatomy and Genetics, University of Oxford) discusses his work on the development of the brain. Interviewed by Paul Verschure and Tony Prescott.
Yaki Setty (Computational Systems Biology, Max Planck Institute, Saarbrücken) discusses his work on the modeling of neurogenesis and related developmental processes. Interviewed by Paul Verschure and Tony Prescott.
Stefano Ferraina (Physiology, Sapienza University, Rome) discusses his work on primate decision making and inference. Interviewed by Paul Verschure and Tony Prescott.
1 hr 5 min
About Convergent Science Network Podcast
From the publisher's feed
We can learn a lot from brains and bodies when making machines and robots. But reversely, building complex machine systems can also give ideas about how brains and bodies have implemented their…
functioning over the evolution of ages. This podcast discusses various themes and aspects in-between robotics, neuroscience, cognitive science, artificial intelligence, biology, and technology.