The AI in Business Podcast What Would it Take to Model the Human Mind? - Computational Neuroanatomy with Dr. Gregory Hickok
Mar 8, 2015
Dr. Gregory Hickok, a cognitive neuroscience professor at UC Irvine and author focused on brain circuits related to speech, shares fascinating insights on modeling the human brain. He discusses the progress in computational neuroanatomy and its distinctions from computational neuroscience. Greg highlights the potential of brain-inspired AI and neuroprosthetics, suggesting impressive future applications like overcoming speech loss. However, he believes deciphering the brain’s complexities will take generations, keeping its deepest secrets elusive for now.
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From Brain Maps To Computational Geology
- Computational neuroanatomy maps computations onto known brain circuits beyond functional geography.
- It seeks the computational ‘geology’ that explains how regions interact to produce behavior.
Spiking Models Link Neurons To Behavior
- Researchers build spiking network models that simulate thousands of neurons to reproduce behavior.
- These models control robots and test theories of perception, memory, and motor control.
Leverage Brain Principles For AI
- Use brain-inspired strategies to improve AI systems for perception and memory tasks.
- Explore parallel, sparse, and flexible coding principles rather than only digital architectures.
