BI 152 Michael L. Anderson: After Phrenology: Neural Reuse

BI 152 Michael L. Anderson: After Phrenology: Neural Reuse

Brain Inspired
Brain Inspired
BI 152 Michael L. Anderson: After Phrenology: Neural Reuse
Loading
/

Michael L. Anderson is a professor at the Rotman Institute of Philosophy, at Western University. His book, After Phrenology: Neural Reuse and the Interactive Brain, calls for a re-conceptualization of how we understand and study brains and minds. Neural reuse is the phenomenon that any given brain area is active for multiple cognitive functions, and partners with different sets of brain areas to carry out different cognitive functions. We discuss the implications for this, and other topics in Michael’s research and the book, like evolution, embodied cognition, and Gibsonian perception. Michael also fields guest questions from John Krakauer and Alex Gomez-Marin, about representations and metaphysics, respectively.

BI 151 Steve Byrnes: Brain-like AGI Safety

BI 151 Steve Byrnes: Brain-like AGI Safety

Brain Inspired
Brain Inspired
BI 151 Steve Byrnes: Brain-like AGI Safety
Loading
/

Steve Byrnes is a physicist turned AGI safety researcher. He’s concerned that when we create AGI, whenever and however that might happen, we run the risk of creating it in a less than perfectly safe way. AGI safety (AGI not doing something bad) is a wide net that encompasses AGI alignment (AGI doing what we want it to do). We discuss a host of ideas Steve writes about in his Intro to Brain-Like-AGI Safety blog series, which uses what he has learned about brains to address how we might safely make AGI.

BI 150 Dan Nicholson: Machines, Organisms, Processes

BI 150 Dan Nicholson: Machines, Organisms, Processes

Brain Inspired
Brain Inspired
BI 150 Dan Nicholson: Machines, Organisms, Processes
Loading
/

Dan Nicholson is a philosopher at George Mason University. He incorporates the history of science and philosophy into modern analyses of our conceptions of processes related to life and organisms. He is also interested in re-orienting our conception of the universe as made fundamentally of things/substances, and replacing it with the idea the universe is made fundamentally of processes (process philosophy). In this episode, we both of those subjects, the why the “machine conception of the organism” is incorrect, how to apply these ideas to topics like neuroscience and artificial intelligence, and much more.

BI 149 William B. Miller: Cell Intelligence

BI 149 William B. Miller: Cell Intelligence

Brain Inspired
Brain Inspired
BI 149 William B. Miller: Cell Intelligence
Loading
/

William B. Miller is an ex-physician turned evolutionary biologist. In this episode, we discuss topics related to his new book, Bioverse: How the Cellular World Contains the Secrets to Life’s Biggest Questions. The premise of the book is that all individual cells are intelligent in their own right, and possess a sense of self. From this, Bill makes the case that cells cooperate with other cells to engineer whole organisms that in turn serve as wonderful hosts for the myriad cell types. Further, our bodies are collections of our own cells (with our DNA), and an enormous amount and diversity of foreign cells – our microbiome – that communicate and cooperate with each other and with our own cells. We also discuss how cell intelligence compares to human intelligence, what Bill calls the “era of the cell” in science, how the future of medicine will harness the intelligence of cells and their cooperative nature, and much more.

BI 148 Gaute Einevoll: Brain Simulations

BI 148 Gaute Einevoll: Brain Simulations

Brain Inspired
Brain Inspired
BI 148 Gaute Einevoll: Brain Simulations
Loading
/

Gaute Einevoll is a professor at the University of Oslo and Norwegian University of Life Sciences. Use develops detailed models of brain networks to use as simulations, so neuroscientists can test their various theories and hypotheses about how networks implement various functions. Thus, the models are tools. The goal is to create models that are multi-level, to test questions at various levels of biological detail; and multi-modal, to predict that handful of signals neuroscientists measure from real brains (something Gaute calls “measurement physics”). We also discuss Gaute’s thoughts on Carina Curto’s “beautiful vs ugly models”, and his reaction to Noah Hutton’s In Silico documentary about the Blue Brain and Human Brain projects (Gaute has been funded by the Human Brain Project since its inception).