42 min listen
BI 057 Nicole Rust: Visual Memory and Novelty
FromBrain Inspired
ratings:
Length:
81 minutes
Released:
Jan 3, 2020
Format:
Podcast episode
Description
Nicole and I discuss how a signature for visual memory can be coded among the same population of neurons known to encode object identity, how the same coding scheme arises in convolutional neural networks trained to identify objects, and how neuroscience and machine learning (reinforcement learning) can join forces to understand how curiosity and novelty drive efficient learning.
Check out Nicole’s Visual Memory Laboratory website. Follow her on twitter: @VisualMemoryLab The papers we discuss or mention: Single-exposure visual memory judgments are reflected in inferotemporal cortex. Population response magnitude variation in inferotemporal cortex predicts image memorability.Visual novelty, curiosity, and intrinsic reward in machine learning and the brain.The work by Dan Yamins’s group that Nicole mentions: Local Aggregation for Unsupervised Learning of Visual Embeddings
Check out Nicole’s Visual Memory Laboratory website. Follow her on twitter: @VisualMemoryLab The papers we discuss or mention: Single-exposure visual memory judgments are reflected in inferotemporal cortex. Population response magnitude variation in inferotemporal cortex predicts image memorability.Visual novelty, curiosity, and intrinsic reward in machine learning and the brain.The work by Dan Yamins’s group that Nicole mentions: Local Aggregation for Unsupervised Learning of Visual Embeddings
Released:
Jan 3, 2020
Format:
Podcast episode
Titles in the series (100)
BI 004 Mark Humphries: Learning to Remember: Mentioned in the show: Mark’s lab The excellent blog he writes on Medium The paper we discuss: An ensemble code in medial prefrontal cortex links prior events to outcomes during learning The code to replicate their findings Dynamical networks: Fin by Brain Inspired