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Brain Inspired
Brain Inspired episodes
- BI 005 David Sussillo: RNNs are Back!
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 Neurobiology 25:156-63.
- Sussillo, D. & Barak, O. (2013). Opening the Black Box: Low-dimensional dynamics in high-dimensional recurrent neural networks. Neural Computation 25(3).
- Sussillo, D., Jozefowicz, R., Abbott, L.F., Pandarinath, C. (2016) LFADS – Latent Factor Analysis via Dynamical Systems. arXiv:1608.06315
- What’s a recurrent neural network?
- Here
- And Here
- What’s a dynamical system?
- Neuropixels
- Hopfield Networks
46 min - BI 004 Mark Humphries: Learning to RememberWhat does it mean to be a neural data scientist? Mark and I talk about that, his work discovering how rat prefrontal cortex learns to remember, and a bunch of AI topics he's written about via his Medium blog. Click the episode for the show notes42 min
- 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: Finding, measuring, and tracking neural population activity using network science
42 min - BI 003 Blake Porter: Effortful Rats
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…
43 min - BI 003 Blake Porter: Effortful Rats
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…
43 min - BI 002 Steven Potter Part 2: Brains in Dishes
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 multi-electrode stimulation. J. Neuroscience 25: 680-68 Download
- Training the cultured networks:
- Chao, Z. C., Bakkum, D. J., & Potter, S. M. (2008). Shaping Embodied Neural Networks for Adaptive Goal-directed Behavior. PLoS Computational Biology, 4(3): e1000042. Online Open-Access paper, supplement, and movie.
- Bakkum, D. J., Chao, Z. C. (Co-First Authors), & Potter, S. M. (2008). Spatio-temporal electrical stimuli shape behavior of an embodied cortical network in a goal-directed learning task. Journal of Neural Engineering, 5, 310-323. Download reprint (3MB PDF)
- The richness of the bursting activity, and how to get good signals from neurons in dishes:
- Wagenaar, D. A., Pine, J. and Potter, S. M. (2006). An extremely rich repertoire of bursting patterns during the development of cortical cultures. BMC Neuroscience 7:11.Reprint (2.79 MB PDF).
- You can find tons (over 40GB) of
1 hr 12 min - BI 002 Steven Potter Part 2: Brains in Dishes
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 multi-electrode stimulation. J. Neuroscience 25: 680-68 Download
- Training the cultured networks:
- Chao, Z. C., Bakkum, D. J., & Potter, S. M. (2008). Shaping Embodied Neural Networks for Adaptive Goal-directed Behavior. PLoS Computational Biology, 4(3): e1000042. Online Open-Access paper, supplement, and movie.
- Bakkum, D. J., Chao, Z. C. (Co-First Authors), & Potter, S. M. (2008). Spatio-temporal electrical stimuli shape behavior of an embodied cortical network in a goal-directed learning task. Journal of Neural Engineering, 5, 310-323. Download reprint (3MB PDF)
- The richness of the bursting activity, and how to get good signals from neurons in dishes:
- Wagenaar, D. A., Pine, J. and Potter, S. M. (2006). An extremely rich repertoire of bursting patterns during the development of cortical cultures. BMC Neuroscience 7:11.Reprint (2.79 MB PDF).
- You can find tons (over 40GB) of data from that paper here.
- Non-synaptic plasticity (what?!)
- Bakkum, D. J., Chao, Z. C., & Potter, S. M. (2008). Long-term activity-dependent plasticity of action potential propagation delay and amplitude in cortical networks. PLoS One, 3(5), e2088. Online Open-Access paper.
- DIY neuroscience: Backyard brains
- Citizen neuroscience:
- Elizabeth Rickers‘ citizen science efforts at Neuroeducate
- Sapiens Labs
- Steve’s lab provides open-source electrophysiology rig plans, called NeuroRighter.
- Follow Steve’s Instrucable projects.
- Go make Steve’s window light!
- Or watch a time-lapse of him building an awesome work-bench
- Here’s are detailed posters of his SunRisa sun-like alarm clock.
Extra fun stuff
- The world-record setting skinny-dippers.
- Pop-locking dancing robots!
1 hr 12 min - BI 001 Steven Potter: Brains in Dishes
Find out more about Steve at his website.
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 to the whole book at Springer.
These days Steve is semi-retired, but is an active consultant for high-tech startups, companies, or individuals.
Things mentioned in the show (check out his part 2 episode for more links!)
- 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 multi-electrode stimulation. J. Neuroscience 25: 680-68 Download
- Training the cultured networks:
- Chao, Z. C., Bakkum, D. J., & Potter, S. M. (2008). Shaping Embodied Neural Networks for Adaptive Goal-directed Behavior. PLoS Computational Biology, 4(3): e1000042.
42 min - BI 001 Steven Potter: Brains in Dishes
Find out more about Steve at his website.
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 to the whole book at Springer.
These days Steve is semi-retired, but is an active consultant for high-tech startups, companies, or individuals.
Things mentioned in the show (check out his part 2 episode for more links!)
- 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 multi-electrode stimulation. J. Neuroscience 25: 680-68 Download
- Training the cultured networks:
- Chao, Z. C., Bakkum, D. J., & Potter, S. M. (2008). Shaping Embodied Neural Networks for Adaptive Goal-directed Behavior. PLoS Computational Biology, 4(3): e1000042. Online Open-Access paper, supplement, and movie.
- Bakkum, D. J., Chao, Z. C. (Co-First Authors), & Potter, S. M. (2008). Spatio-temporal electrical stimuli shape behavior of an embodied cortical network in a goal-directed learning task. Journal of Neural Engineering, 5, 310-323. Download reprint (3MB PDF)
- The richness of the bursting activity:
- Wagenaar, D. A., Pine, J. and Potter, S. M. (2006). An extremely rich repertoire of bursting patterns during the development of cortical cultures. BMC Neuroscience 7:11.Reprint (2.79 MB PDF).
- You can find tons (over 40GB) of data from that paper here.
- Animals to Animats
- Douglas Hofstadter
- Gödel, Escher, Bach: An Eternal Golden Braid
- Metamagical Themas: Questing for the Essence of Mind and Pattern
- Rodney Brooks: embodied cognition and AI.
- Neuromorphics: Carver Mead.
- Real-World Teaching (Steve’s award winning teaching method).
- Science as Psychology: Sense-Making and Identity in Science Practice. This is the book about Steve’s and others’ process of dealing with failure etc.
- MEART: The semi-living artist.
- Silent Barage: noisy pole robots.
- SymboticA at University of Western Australia.
42 min - 5 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…
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 neuroscience, supervised machine learning, unsupervised learning, reinforcement learning, deep learning, convolutional and recurrent neural networks, decision-making science, AI agents, backpropagation, credit assignment, neuroengineering, neuromorphics, emergence, philosophy of mind, consciousness, general AI, spiking neural networks, data science, and a lot more. The podcast is not produced for a general audience. Instead, it aims to educate, challenge, inspire, and hopefully entertain those interested in learning more about neuroscience and AI.
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