Brain Inspired

Brain Inspired

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Brain Inspired episodes

  • BI 029 Paul Humphreys & Zac Irving: Emergence & Mind Wandering

    Show notes:

    • Paul Humphreys' website.
    • Zac Irving's website.
    • Emergence:
      • Emergence: A Philosophical Account. (book by Paul)
      • The Oxford Handbook of Philosophy of Science.
    • Mind Wandering:
      • Mind-Wandering is Unguided Attention.
      • The Philosophy of Mind-Wandering.
      • The Neuroscience of Spontaneous Thought.
    1 hr 45 min
  • BI 028 Sam Gershman: Free Energy Principle & Human Machines

    Show notes:

    • Sam's Computational Cognitive Neuroscience Lab.
    • Follow Sam on Twitter: @gershbrain.
    • The papers we discuss:
      • What does the free energy principle tell us about the brain?
      • Building machines that learn and think like people.
        • A video summarizing that work.
    • The book Sam recommended: What Is Thought by Eric Baum.
    1 hr 15 min
  • BI 027 Ioana Marinescu & Konrad Kording: Causality in Quasi-Experiments

    Show notes:

    • Websites: Ioana Marinescu, Konrad Kording
    • Twitter: Twitter: @mioana; @KordingLab
    • The paper we discuss:
      • Quasi-experimental causality in neuroscience and behavioral research.
      • A Pre-print version.
    • Judea Pearl's The Book of Why.
    • Judea Pearl's online lecture about causality: The Art and Science of Cause and Effect.
    • Ioana's review of Universal Basic Income: No Strings Attached.
    • The post on hedge drift by Stefan Schubert: Hedge drift and advanced motte-and-bailey.
    • Books recommended by Ioana and Konrad to understand causality:
      • Mostly Harmless Econometrics.
      • Mastering 'Metrics: The Path from Cause to Effect.
    1 hr 21 min
  • BI 026 Kendrick Kay: A Model By Any Other Name

    Image courtesy of Kendrick Kay: Brain art

    Show notes:
    • Check out Kendrick’s lab website: CVN lab.
    • Follow him on twitter: @cvnlab.
    • The papers we discuss:
      • Bottom-up and top-down computations in word- and face-selective cortex.
      • Principles for models of neural information processing.
      • Appreciating diversity of goals in computational neuroscience.
      • A nice talk about the model we discuss: Bottom Up and Top Down Computations in Word- and Face-Selective Cortex
      • Cognitive Computational Neuroscience conference.
        1 hr 23 min
      • BI 025 John Krakauer: Understanding Cognition
        Show notes
        • BLAM (Brain, Learning, Animation, and Movement) Lab homepage: http://blam-lab.org/
        • BLAM on Twitter: @blamlab
        • Papers we discuss:
          • Neuroscience Needs Behavior: Correcting a Reductionist Bias.
          • John and his brother David’s interview in Current Biology: John and David Krakauer
          • Mark Humphries’ piece on John’s “Neuroscience Needs Behavior” paper.
          • Tinbergen’s 4 Questions.
          • John’s book on stroke recovery: Broken Movement: The Neurobiology of Motor Recovery after Stroke (The MIT Press).
          • David Marr’s classic work, Vision.
          • More is Different by Phillip Anderson, and the hierarchical nature of scientific disciplines.
          • Understanding Scientific Understanding by Henk W. De Regt.
          • Inventing Temperature: Measurement and Scientific Progress by Hasock Chang.
          • Soul Dust: The Magic of Consciousness by Nicholas Humphrey.
          • The Organisation of Mind by Tim Shallice and Richard Cooper.
            1 hr 47 min
          • BI 024 Tim Behrens: Cognitive Maps
            Show notes:
            • Tim’s Neuroscience homepage:
            • Follow Tim on Twitter: @behrenstim.
            • Edward Tolman’s cognitive maps work:
              • Cognitive maps in rats and men.
              • Place Cells and Grid Cells:
                • O’Keefe early place cell paper: The Hippocampus as a Spatial Map.
                • O’Keefe’s book about the work: The Hippocampus as a Cognitive Map.
                • Mosers and their students discover grid cells: Microstructure of a spatial map in the entorhinal cortex.
                • Overview.
                • Here’s a good talk Tim gives on the subject: Building models of the world for behavioural control.
                • Tim’s papers we discuss:
                  • What is a cognitive map? (Neuron, 2018)
                  • Organizing conceptual knowledge in humans with a grid-like code (Science, 2016)
                  • Two of the books he recommended:
                    • Theoretical Neuroscience by Dayan and Abbott.
                    • Information Theory, Inference and Learning Algorithms by David MacKay.
                      1 hr 10 min
                    • BI 023 Marcel van Gerven: Mind Decoding with GANs

                      Show notes:

                      • Donders Institute for Brain, Cognition and Behaviour
                      • Artificial Cognitive Systems on Twitter.
                      • Artificial Cognitive Systems research group.
                      • The paper we discuss:
                        • Generative adversarial networks for reconstructing natural images from brain activity.
                        • Read their Mindcodec blog.
                        • Nice overview of GANs (appropriately titled): Generative Adversarial Networks: An Overview.
                        • 1 hr 5 min
                        • BI 022 Melanie Mitchell: Complexity, and AI Shortcomings
                          Show notes:
                          • Follow Melanie on Twitter: @MelMitchell1.
                          • Learn more about what she does at her homepage.
                          • Here is her New York Times Op-Ed about AI.
                          • And here is a talk which goes into more depth: AI and the Barrier of Meaning.
                          • Her book, Complexity: A Guided Tour, has won awards.
                          • Check out all the free coures and tutorials at Complexity Explorer.
                          • Here’s a talk she gave: Introduction to Complexity.
                          • Melanie’s PhD advisor was Douglas Hofstadter, author of Godel, Escher, Bach: The Eternal Golden Braid.
                          • I mentioned Terrence Deacon’s book Incomplete Nature: How Mind Emerged from Matter.
                            1 hr
                          • BI 021 Matt Botvinick: Neuroscience and AI at DeepMind

                             

                             

                             

                            Show notes:

                            • DeepMind.
                            • The papers we discuss:
                              • Neuroscience-Inspired Artificial Intelligence.
                              • A nice summary of the meta-reinforcement learning work.
                              • Learning to reinforcement learn.
                              • Prefrontal cortex as a meta-reinforcement learning system.
                              • Machine Theory of Mind.
                              • Reinforcement learning.
                              • 1 hr 20 min
                              • BI 020 Anna Wexler: Stimulate Your Brain?

                                Show notes:

                                • Anna’s website: annawexler.com.
                                • Follow Anna on Twitter: @anna_wexler.
                                • Check out her documentary Unorthodox.
                                • The papers we discuss:
                                  • Recurrent themes in the history of the home use of electrical stimulation: Transcranial direct current stimulation (tDCS) and the medical battery (1870–1920).
                                  • The Social Context of “Do-It-Yourself” Brain Stimulation: Neurohackers, Biohackers, and Lifehackers.
                                  • Who Uses Direct-to-Consumer Brain Stimulation Products, and Why? A Study of Home Users of tDCS Devices.
                                  • Mind-Reading or Misleading? Assessing Direct-to-Consumer Electroencephalography (EEG) Devices Marketed for Wellness and Their Ethical and Regulatory Implications.
                                  • Anna mentioned consumerlab.com as a great place see what’s really in the supplements you take.
                                  • p300 ERP component as a signature of a person’s reaction to a stimulus.
                                  • 1 hr 10 min

                                  About Brain Inspired

                                  From the publisher's feed

                                  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…

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