#12 Dr Tony Zador NeuroAI Expert - “How to Model the Human Brain and Build Brain Based AI”

Tony Zador is a Computational Neuroscientist from the Cold Harbour Springs Laboratory who is attempting the gargantuan task of modelling all the connections in the human brain using a fascinating and novel approach that he developed. Using Viruses! Timestamps:00:00 Intro01:36 - Introduction to Connectomics05:00- The Ambitious Goal of Mapping Neural Circuits11:20 - Insights into the Human Brain from Connectomics27:58 - Delivery of Barcoded Viruses to Neurons34:11 - Output and Findings of Connectomics Research41:24 - Discovering the Randomness of Brain Wiring47:35 - Randomness in Brain Development52:18 - The Third Component in the Nature-Nurture Debate57:06 - The Impact of Language Deprivation01:07:15 - Understanding Emotions as Persistent States01:16:13 - Exploring the Intersection of Neuroscience and AI01:20:44 - The Challenge of Energy Efficiency in AI Systems01:31:23 - Unraveling the Principles of Neural Circuits01:34:45 - Key Differences between Biological and Artificial Neural Networks01:38:39 - The Limitations of Data and Compute01:42:36 - The Answer Isn't More Data01:44:55 - The Exciting Potential of Neuroscience and AI Collaboration01:48:23 - The Importance of Making the Same Mistakes01:55:18 - The Evolutionary Curriculum ApproachDr. Tony Zador discusses the field of connectomics and his novel approach to studying neural circuits. He explains that the connectome is the wiring diagram of a neural circuit and that understanding how a circuit is wired can provide insight into how it functions. Dr. Zador got interested in connectomics after recognizing the importance of understanding neural circuitry in neuroscience. He developed a new technology that uses barcoded viruses to fill neurons with unique DNA sequences, allowing for the mapping of neural connections. This approach has provided insights into the wiring patterns of the brain and the principles of brain circuitry. The conversation explores the role of randomness in brain development and the implications for understanding the nature-nurture debate. It delves into the concept of emotions and how they emerge from neural circuits. The discussion also touches on the intersection of neuroscience and AI, particularly in terms of energy efficiency and mimicking the brain's computational processes. In this conversation, Tony Zador discusses the intersection of neuroscience and AI. He highlights the importance of understanding the principles of neural circuits and how they wire up in order to advance AI. Zador also explores the potential of brain organoids and the insights they can provide into neural development and behavior. He emphasizes the need for collaboration between neuroscience and AI to unlock new possibilities and address challenges. Zador shares his excitement about the evolutionary curriculum approach and the study of sparse neural activity. He also expresses concerns about economic disruption and the need for better communication of science to the general public.