Theoretical Neuroscience Podcast

Arvind Kumar, a guest who has thought about coding questions throughout his career, discusses the neural code and its interpretations. Topics include neural representation of visual features, decoding motor systems with spike count codes and tuning curves, population coding and correlation, neural code and connectivity, diversity in tuning curves and encoding information, comparing visual neurons and entorhinal cortex neurons, catastrophic errors in AI and grid cells, collaboration to solve a problem involving time and stimuli, adversarial attacks and grid cells' representation of navigation, and efficient coding and sparse coding in the brain.

Christof Koch, author of 'Biophysics of Computation', discusses the intersection of physics, neuroscience, and philosophy. He explores homeostasis in neurons, locust movement detection, brain mapping to logical operations, degeneracy and redundancy in biological systems, and the limitations of the mouse v1 model. Koch also introduces the concept of integrated information theory of consciousness and discusses challenges in evaluating complex systems.

Grace Lindsay, author of 'Models of the Mind', discusses the history of electricity in neuroscience, limitations of pen and paper calculations, failed neuroscience papers, origins of AI and the perceptron, neural coding and information processing, hierarchy of feature extractors in the visual system, firing rate models and ring networks, different types of models in computational neuroscience, reinforcement learning, and challenges in theoretical neuroscience.