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PODCAST

Brain Inspired

Paul Middlebrooks

Neuroscience and artificial intelligence work better together. Brain inspired is a celebration and exploration of the ideas driving our progress to understand intelligence. I interview experts about their work at the interface of neuroscience, artificial intelligence, cognitive science, philosophy, psychology, and more: the symbiosis of these overlapping fields, how they inform each other, where they differ, what the past brought us, and what the future brings. Topics include computational

science natural sciences

All Episodes

00:37:16

BI 006 Ryan Poplin: Deep Solutions

Brain Inspired ·

2018/08/25

[bctt tweet=”Check out episode 6 of the Brain Inspired podcast: Deep learning, eyeballs, and brains” username=”pgmid”] Mentioned in the show Ryan Poplin What is a convolutional neural network? Here’s a good summary. Here’s another good summary. Deep learning on eye images: CV risk factors can be predicted from retinal fundus images DeepVariant: Deep learning on genomics The paper:Creating a universal SNP and small indel variant caller with deep neural

en-US

00:45:39

BI 005 David Sussillo: RNNs are Back!

Brain Inspired ·

2018/08/02

Mentioned in the show: David’s Twitter account Papers we discuss: Sussillo, D.S. & Abbott, L. F. (2009). Generating Coherent Patterns of Activity from Chaotic Neural Networks. Neuron 63(4). Sussillo, D. (2014) Neural circuits as computational dynamical systems.Current Opinion in Neurobiology25:156-63. Sussillo, D. & Barak, O. (2013). Opening the Black Box: Low-dimensional dynamics in high-dimensional recurrent neural networks.Neural Computation25(3). Sussillo, D., Jozefowicz, R.,

en-US

00:41:39

BI 004 Mark Humphries: Learning to Remember

Brain Inspired ·

2018/08/02

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: Finding, measuring, and tracking neural population activity using network science

en-US

00:42:47

BI 003 Blake Porter: Effortful Rats

Brain Inspired ·

2018/08/02

Mentioned during the show: The paper we discuss: Hippocampal place cell encoding of sloping terrain. Blake’s website, where he writes his blog Noise mystery story Deepmind released a package to design your own bots for Starcraft OpenAI and Dota2:Blake says they hadn’t beat pro teams, but we agreed it’s inevitable. And now they have…

en-US

01:11:23

BI 002 Steven Potter Part 2: Brains in Dishes

Brain Inspired ·

2018/08/02

Find out more about Steve at his website. Things mentioned during the show: Papers we talked about: Publishing negative results! Wagenaar, D. A., Pine, J., & Potter, S. M. (2006). Searching for plasticity in dissociated cortical cultures on multi-electrode arrays. Journal of Negative Results in BioMedicine 5:16.Download Solving the bursting neurons problem: Wagenaar, D. A. Madhavan, R. Pine, J. and Potter, S. M. (2005) Controlling bursting in cortical cultures with closed-loop

en-US

00:41:58

BI 001 Steven Potter: Brains in Dishes

Brain Inspired ·

2018/08/02

Find out more about Steve at hiswebsite. I discovered him when I found his book chapter “What Can AI Get from Neuroscience?” in the following: “50 Years of Artificial Intelligence: Essays Dedicated to the 50th Anniversary of Artificial Intelligence,” M. Lungarella, J. Bongard, & R. Pfeifer (eds.) (pp. 174-185). Berlin: Springer-Verlag.Download the chapter.Link tothe whole bookat Springer. These days Steve is semi-retired, but is an active consultant for high-tech startups, companies,

en-US

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