Thomas and I talk about what happens in the brain’s visual system when you see something versus imagine it. He uses generative encoding and decoding models and brain signals like fMRI and EEG to test the nature of mental imagery. We also discuss the huge fMRI dataset of natural images he’s collected to infer models of the entire visual system, how we’ve still not tapped the potential of fMRI, and more.
Support the show to get full episodes and join the Discord community. Check out my short video series about what's missing in AI and...
[et_pb_section fb_built=”1″ admin_label=”Header” _builder_version=”4.9.2″ background_color=”#ad876d” background_enable_image=”off” parallax=”on” custom_padding=”0vw||0vw||true|false” custom_css_main_element=”.podcast .entry-title {||display: none;||}” background_size__hover=”cover” background_size__hover_enabled=”cover”][et_pb_row _builder_version=”4.9.2″ background_color=”#d5a570″ use_background_color_gradient=”on” background_color_gradient_start=”rgba(26,24,68,0)” background_color_gradient_end=”#231f20″ background_color_gradient_overlays_image=”on” background_enable_image=”off” background_position=”top_center” width=”100%” max_width=”100%”...
Support the Podcast Show notes: Raia and I discuss her work at DeepMind figuring out how to build robots using deep reinforcement learning to...
