Listeners:
Top listeners:
play_arrow
Paul Verschure on consciousness and distributed adaptive control CSN Podcasts
play_arrow
Edvard Moser on grid cells and entorhinal cortex CSN Podcasts
play_arrow
Giacomo Rizzolatti on mirror neurons and action understanding CSN Podcasts
play_arrow
Robert Axelrod on game theory and prisoner's dilemma CSN Podcasts
play_arrow
Adrian Owen on disorders of consciousness and vegetative state CSN Podcasts
play_arrow
Jonathan Whitlock on markerless motion capture and posterior parietal cortex CSN Podcasts
play_arrow
Luis Puelles on neuroanatomy and prosomeric model CSN Podcasts
play_arrow
Zoltan Molnar on subplate neurons and cortical development CSN Podcasts
John Lisman spent his entire scientific life at Brandeis University. He arrived as an undergraduate in physics, graduating in 1966, then took a PhD in physiology at MIT — a study of the ventral eye of the horseshoe crab Limulus polyphemus — followed by a postdoctoral fellowship at Harvard with the Nobel laureate George Wald. He returned to Brandeis as an assistant professor in 1974 and never left, holding the Zalman Abraham Kekst Chair in Neuroscience.
Two of his ideas became foundational. The first was a molecular model of long-term memory built around the autophosphorylating kinase CaMKII — a proposal, developed across decades, that a single protein switch could serve as a stable substrate for memories that outlast the molecules carrying them. The second was the theta-gamma neural code, set out in a 1995 Science paper with Marco Idiart and Ole Jensen, and refined in a landmark 2013 Neuron review: the idea that gamma oscillations nested within slower theta rhythms give the brain a clock for ordered information, with each gamma cycle representing a discrete item and each theta cycle binding roughly seven of them into a chunk. That framework reshaped how a generation of researchers thinks about working memory, capacity limits, hippocampal–prefrontal interaction, and the curious finding that the mind seems to hold about seven things at once.
Colleagues remember a polymath of infectious curiosity — a large, soft-spoken man who could see across fields and was unfailingly generous with his time. He worked into his final weeks, delivering a scientific talk by video from his hospital ICU bed not long before he died on 20 October 2017, aged 73.
His CSN conversation, recorded against the backdrop of his lecture, is one of the few extended recordings in which he presents the theta-gamma framework in his own voice.
Sources
Vincent Hayward was, by common acclaim of his field, the godfather of haptics. Born in Paris on 5 January 1955, he trained in robotics and control before turning toward the question that would occupy the rest of his career: what is happening, mechanically and neurally, when a hand touches the world?
He joined the Department of Electrical and Computer Engineering at McGill University in 1989, and after two decades there returned to Paris in 2008 as a professor at the Institut des Systèmes Intelligents et de Robotique (ISIR) at Sorbonne Université, where he led a group dedicated to tactile perception and the engineering of haptic devices. The pantograph — an elegantly simple force-feedback mechanism he co-developed in the early 1990s — became one of the most widely copied haptic interfaces in research, and a tool for giving blind users access to graphical information. Later work used lateral skin stretch, vibration, and other unconventional stimuli to show that touch is not a passive readout of mechanical signals but an active inference performed by the nervous system. He held an ERC Advanced Grant, a Leverhulme Trust Fellowship at the School of Advanced Studies in London, election as an IEEE Fellow (2008) and to the French Academy of Sciences (2019), and co-founded the haptic-technology company Actronika in 2016.
Those who knew him remember a scientist of immense curiosity who treated every collaborator as a friend, built ingenious devices on his kitchen stove, and refused to separate intellectual rigour from joy. He died on 10 May 2023, aged 68, after a long illness.
His CSN episode preserves both the science and the voice — the rare combination of physical intuition, theoretical sophistication, and warmth that made him singular in his field.
Sources
Exploring the convergence of neuroscience, robotics, and AI through conversations with leading researchers since 2010.
A project of the Convergent Science Network Foundation.
© CSN Podcasts. Developed by IMCreative & WEBC
✖
✖
Are you sure you want to cancel your subscription? You will lose your Premium access and stored playlists.
✖