Numenta On Intelligence Episode 14: Florian Fiebig скачать в хорошем качестве

Numenta On Intelligence Episode 14: Florian Fiebig

In this episode, host Matt Taylor chats with Numenta Visiting Research Scientist Florian Fiebig. Florian is a recent graduate from the KTH Royal Institute of technology in Stockholm, Sweden with a PhD in computational neuroscience. His PhD thesis focuses on Hebbian learning networks and he regularly presents his work at Numenta research meetings[1]. Florian’s thesis is titled, “Active Memory Processing on Multiple Timescales in Simulated Critical Networks with Hebbian Plasticity.”[2] Show Notes • 1:05 Intro to Florian • 2:41 Florian’s background and what led him to Numenta • 3:06 Continuous learning • 9:30 Does deep learning have anything similar to Hebbian learning? • 11:36 Different types of plasticity in Hebbian learning • 11:55 Long-term Potentiation (LTP) • 14:38 “So it turns out: Short-term potentiation is not always short-term potentiation” • 15:47 Two fast forms of plasticity: facilitation and augmentation • 17:57 Homeostatic mechanisms: the Bobcat example • 19:41 Let’s talk about working memory • 21:21 Associative nature of memory • 26:46 The brain as a massive filter • 28:16 Episodic memory vs. semantic memory • 30:38 Non-declarative memories • 32:47 How does the transfer process of initially acquired memory into something that is longer lasting work? • 35:05 The keys to remembering: repetition and relevance • 37:28 Attractors and dynamical systems • 44:15 The cortical attractor theory of neocortex or neocortical memory • 45:26 The binding problem • 55:00 Closing Download the full transcript of the podcast here.[3] Subscribe to Numenta On Intelligence: iTunes, Stitcher, Google Play, Spotify, RSS [1] https://numenta.com/blog/2019/07/31/t... [2] http://www.diva-portal.org/smash/reco... [3] http://numenta.flywheelstaging.com/as...