Lecture 1.2: Gabriel Kreiman - Computational Roles of Neural Feedback
Prof Gabriel Kreiman -- How Brain Computations Can Inspire New AI
Symposium: Brains, Minds and Machines - Gabriel Kreiman
How brain computations can inspire new paths in AI: Part 2
Gabriel Kreiman — Computational Confessions of the Human Brain
Gabriel Kreiman (Harvard Medical School) - Peeking Inside the Brain to Develop the Next Gen. of AI
Introduction to Biological and Artificial Intelligence (Harvard Neuro 140 Class by Gabriel Kreiman)
Conscious interview 3. Prof Gabriel Kreiman https://klab.tch.harvard.edu/
How brain computations can inspire new paths in AI - Part 1
Vision and Cognition 1
On Biologically Plausible Mechanisms for Pattern Completion
When pigs fly contextual reasoning in man and machines Gabriel Kreiman
Gabriel Kreiman - Neurons don´t play dice
Lecture 3. Neuron physiology and biophysics (Computational Neuroscience Course)
Recurrent Computations in Cortex
Deciphering Brain Codes to Build Smarter AI
Computational roles of feedback and recurrent connections in visual cortex
Auditory Signal-Processing From Sound to Meaning – New Insights from Systems Neuroscience
Explaining brain area scaling and topography in monkey and human IT with deep neural networks
Linking Patterns of Infant Eye Movements to a Neural Network Model of the Ventral Stream...
