A myriad of AI, science, and technology experts explore the real challenges and enormous opportunities facing entrepreneurs who are building the future of health. Raising Health, a podcast by a16z Bio + Health and hosted by Kris Tatiossian and Olivia Webb, dives deep into the heart of biotechnology and healthcare innovation. Join veteran company builders, operators, and investors Vijay Pande, Julie Yoo, Vineeta Agarwala, and Jorge Conde, along with distinguished guests like Mark Cuban, Greg ...
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Similar to Theoretical Neuroscience Podcast
Flash Forward is a show about possible (and not so possible) future scenarios. What would the warranty on a sex robot look like? How would diplomacy work if we couldn’t lie? Could there ever be a fecal transplant black market? (Complicated, it wouldn’t, and yes, respectively, in case you’re curious.) Hosted and produced by award winning science journalist Rose Eveleth, each episode combines audio drama and journalism to go deep on potential tomorrows, and uncovers what those futures might re ...
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Daniel and Kelly’s Extraordinary Universe
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Scientists Daniel and Kelly cannot stop talking about our amazing, wonderful, weird Universe! Each episode is a fun, easy-to-understand, and in-depth explanation of topics in science, from particles to black holes to moon colonies to ecosystems to parasites and everything else in the Universe!
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On dendritic function - with Yiota Poirazi - #17
Manage episode 434686522 series 3562348
Content provided by Gaute Einevoll. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Gaute Einevoll or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
The most prominent visual characteristic of neurons is their dendrites.
Even more than 100 years after their first observation by Cajal, their function is not fully understood. Biophysical modeling based on cable theory is a key research tool for exploring putative functions, and today’s guest is one the leading researchers in this field.
We talk about of passive and active dendrites, the kind of filtering of synaptic inputs they support, the key role of synapse placements, and how the inclusion of dendrites may facilitate AI.
27 episodes
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Manage episode 434686522 series 3562348
Content provided by Gaute Einevoll. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Gaute Einevoll or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
The most prominent visual characteristic of neurons is their dendrites.
Even more than 100 years after their first observation by Cajal, their function is not fully understood. Biophysical modeling based on cable theory is a key research tool for exploring putative functions, and today’s guest is one the leading researchers in this field.
We talk about of passive and active dendrites, the kind of filtering of synaptic inputs they support, the key role of synapse placements, and how the inclusion of dendrites may facilitate AI.
27 episodes
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Theoretical Neuroscience Podcast
1 On construction and clinical use of multipurpose neuron models - with Etay Hay - #27 1:13:21
1:13:21 
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Play Later Play Later Lists Like LikedNumerous neuron models have been made, but most of them are "single-purpose" in that they are made to address a single scientific question. In contrast, multipurpose neuron models are made to be used to address many scientific questions. In 2011, the guest published a multipurpose rodent pyramidal-cell model which has been actively used by the community ever since. We talk about how such models are made, and how his group later built human neuron models to explore network dynamics in brains of depressed patients.…
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Theoretical Neuroscience Podcast
1 On the population code in visual cortex - with Kenneth Harris - #26 1:24:49
1:24:49 Play Later Play Later Lists Like Liked1:24:49
Play Later Play Later Lists Like LikedWith modern electrical and optical measurement techniques, we can now measure neural activity in hundreds or thousands of neurons simultaneously. This allows for the investigation of population codes, that is, of how groups of neurons together encode information. In 2019 today’s guest published a seminal paper with collaborators at UCL in London where analysis of optophysiological data from 10.000 neurons in mouse visual cortex revealed an intriguing population code balancing the needs for efficient and robust coding. We discuss the paper and (towards the end) also how new AI tools may be a game-changer for neuroscience data analysis.…
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Theoretical Neuroscience Podcast
1 On growing synthetic dendrites – with Hermann Cuntz - #25 1:34:34
1:34:34 Play Later Play Later Lists Like Liked1:34:34
Play Later Play Later Lists Like LikedThe observed variety of dendritic structures in the brains is striking. Why are they so different, and what determine the branching patterns? Following the dictum “if you understand it, you can build it”, the lab of the guest builds dendritic structures in a computer and explore the underlying principles. Two key principles seem to be to minimize (i) the overall length of dendrites and (ii) the path length from the synapses to the soma.…
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Theoretical Neuroscience Podcast
1 On neuroscience foundation models - with Andreas Tolias - #24 1:31:43
1:31:43 Play Later Play Later Lists Like Liked1:31:43
Play Later Play Later Lists Like LikedThe term “foundation model” refers to machine learning models that are trained on vast datasets and can be applied to a wide range of situations. The large language model GPT-4 is an example. The group of the guest has recently presented a foundation model for optophysiological responses in mouse visual cortex trained on recordings from 135.000 neurons in mice watching movies. We discuss the design, validation, use of this and future neuroscience foundation models.…
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Theoretical Neuroscience Podcast
1 On human whole-brain models - with Viktor Jirsa - #23 1:55:21
1:55:21 Play Later Play Later Lists Like Liked1:55:21
Play Later Play Later Lists Like LikedA holy grail of the multiscale approach for physical brain modelling is to link the different scales from molecules, via cells and local neural networks, up to whole-brain models. The goal of the Virtual Brain Twin project, lead by today’s guest, is to use personalized human whole-brain models to aid clinicians in treating brain ailments. The podcast discusses how such models are presently made using neural field models, starting with neuron population dynamics rather than molecular dynamics.…
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Theoretical Neuroscience Podcast
1 On 40 years with the Hopfield network model - with Wulfram Gerstner - #22 1:27:49
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Play Later Play Later Lists Like LikedIn 1982 John Hopfield published the paper "Neural networks and physical systems with emergent collective computational abilities" describing a simple network model functioning as an associative and content-addressable memory. The paper started a new subfield in computational neuroscience and led to the influx of numerous theoretical scientists, in particular physicists, to the field. The podcast guest wrote his PhD thesis on the model in the early 1990s, and we talk about the history and present impact of the model.…
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Theoretical Neuroscience Podcast
1 On models for short-term memory - with Pawel Herman - #21 1:47:42
1:47:42 Play Later Play Later Lists Like Liked1:47:42
Play Later Play Later Lists Like LikedThe leading theory for learning and memorization in the brain is that learning is provided by synaptic learning rules and memories stored in synaptic weights between neurons. But this is for long-term memory. What about short-term, or working, memory where objects are kept in memory for only a few seconds? The traditional theory held that here the mechanism is different, namely persistent firing of select neurons in areas such as prefrontal cortex. But this view is challenged by recent synapse-based models explored by today’s guest and others.…
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Theoretical Neuroscience Podcast
1 On neuro-AI on the boat - part 2 of 2 - with Cristina Savin, Tim Vogels, Mikkel Lepperød, Paul Middlebrooks - #20 1:21:03
1:21:03 Play Later Play Later Lists Like Liked1:21:03
Play Later Play Later Lists Like LikedIn September Paul Middlebrooks, the producer of the podcast BrainInspired, and I were both on a neuro-AI workshop on a coast liner cruising the Norwegian fjords. We decided to make two joint podcasts with some of the participants where we discuss the role of AI in neuroscience. In this second part we discuss the topic with Cristina Savin and Tim Vogels and round off with a brief discussion with Mikkel Lepperød, the main organizer of the workshop, about what he learned from the workshop.…
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Theoretical Neuroscience Podcast
1 On neuro-AI on the boat - part 1 of 2 - with Ken Harris, Andreas Tolias, Mikkel Lepperød, Paul Middlebrooks - #19 1:19:26
1:19:26 Play Later Play Later Lists Like Liked1:19:26
Play Later Play Later Lists Like LikedIn September Paul Middlebrooks, the producer of the podcast BrainInspired, and I were both on a neuro-AI workshop on a coast liner cruising the Norwegian fjords. We decided to make two joint podcasts with some of the participants where we discuss the role of AI in neuroscience. In this first part we talk with Mikkel Lepperod, the main organizer about the goal of the workshop, and with Ken Harris and Andreas Tolias about how AI has affected their research neuroscientists and their thoughts about the future of neuro-AI.…
T
Theoretical Neuroscience Podcast
1 On electric brain signals - solo episode - #18 1:48:22
1:48:22 Play Later Play Later Lists Like Liked1:48:22
Play Later Play Later Lists Like LikedMost of what we have learned about the functioning of the living brain has come from extracellular electrical recordings, like the measurement of spikes, LFP, ECoG and EEG signals. And most analysis of these recordings has been statistical, looking for correlations between the recorded signals and what the animal/human is doing or being exposed to. However, starting with the neuron rather than the data, these electrical brain signals can also be computed from biophysics-based forward models, and this is topic of this podcast.…
T
Theoretical Neuroscience Podcast
1 On dendritic function - with Yiota Poirazi - #17 1:27:39
1:27:39 Play Later Play Later Lists Like Liked1:27:39
Play Later Play Later Lists Like LikedThe most prominent visual characteristic of neurons is their dendrites. Even more than 100 years after their first observation by Cajal, their function is not fully understood. Biophysical modeling based on cable theory is a key research tool for exploring putative functions, and today’s guest is one the leading researchers in this field. We talk about of passive and active dendrites, the kind of filtering of synaptic inputs they support, the key role of synapse placements, and how the inclusion of dendrites may facilitate AI.…
T
Theoretical Neuroscience Podcast
1 On consciousness - with Christof Koch - #16 2:04:59
2:04:59 Play Later Play Later Lists Like Liked2:04:59
Play Later Play Later Lists Like LikedThe greatest mystery of all is why a group of atoms, like the ones constituting me, can feel anything. The mind-brain problem has puzzled philosophers for millennia. Thanks to pioneers like Christof Koch, consciousness studies have recently become a legitimate field of scientific inquiry. In this vintage episode, recorded in February 2021, we discuss many aspects of the phenomenon, including an intriguing candidate theory: Integrated Information Theory.…
T
Theoretical Neuroscience Podcast
1 On the simulation tool NEURON - with Michael Hines - #15 1:26:35
1:26:35 Play Later Play Later Lists Like Liked1:26:35
Play Later Play Later Lists Like LikedComputational neuroscientists use many software tools, and NEURON has become the leading tool for biophysical modeling of neurons and neural network. Today’s guest has been the leading developer of NEURON since the infancy almost 50 years ago. We talk about how the tool got started and the development up until today’s modern version of the software, including CoreNEURON optimized for parallel execution of large-scale network models on multicore supercomputers.…
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Theoretical Neuroscience Podcast
1 On the molecular memory code - with Sam Gershman - #14 1:20:44
1:20:44 Play Later Play Later Lists Like Liked1:20:44
Play Later Play Later Lists Like LikedThe idea that memories are stored in molecules was popular in the middle of the 20th century. However, since the discovery of long-term potentiation (LTP) in the 1970s, the dominant view has been that our memories are stored in synapses, that is, in the connections between neurons. Today, there are signs that the interest in molecular memory is returning, and the guest has presented a theory suggesting that molecular and synaptic memory might serve complementary needs for animals.…
T
Theoretical Neuroscience Podcast
1 On quantum biology - with Johnjoe McFadden - #13 1:17:20
1:17:20 Play Later Play Later Lists Like Liked1:17:20
Play Later Play Later Lists Like LikedIs quantum physics important in determining how living systems, including brains, work? Today's guest is a professor of molecular genetics at the University of Surrey in England and explores this question in the book “Life at the edge: The coming of age of quantum biology”. In this “vintage” episode, recorded in late 2019, we talk about how quantum physics is or may be key in photosynthesis, smelling, navigation, evolution and even thinking. And we also touch on development of new antibiotics, another expertise of McFadden.…
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Similar to Theoretical Neuroscience Podcast
A myriad of AI, science, and technology experts explore the real challenges and enormous opportunities facing entrepreneurs who are building the future of health. Raising Health, a podcast by a16z Bio + Health and hosted by Kris Tatiossian and Olivia Webb, dives deep into the heart of biotechnology and healthcare innovation. Join veteran company builders, operators, and investors Vijay Pande, Julie Yoo, Vineeta Agarwala, and Jorge Conde, along with distinguished guests like Mark Cuban, Greg ...
…
continue reading
Flash Forward is a show about possible (and not so possible) future scenarios. What would the warranty on a sex robot look like? How would diplomacy work if we couldn’t lie? Could there ever be a fecal transplant black market? (Complicated, it wouldn’t, and yes, respectively, in case you’re curious.) Hosted and produced by award winning science journalist Rose Eveleth, each episode combines audio drama and journalism to go deep on potential tomorrows, and uncovers what those futures might re ...
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continue reading
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…
continue reading
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Daniel and Kelly’s Extraordinary Universe
1
Daniel and Kelly’s Extraordinary Universe
iHeartPodcasts
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Scientists Daniel and Kelly cannot stop talking about our amazing, wonderful, weird Universe! Each episode is a fun, easy-to-understand, and in-depth explanation of topics in science, from particles to black holes to moon colonies to ecosystems to parasites and everything else in the Universe!
…
continue reading
Science Friction's latest series is: Cooked. We dig into food science pickles. Why are studies showing that ice cream could be good for you? Do we really need as many electrolytes as the internet says? And why are people feeling good on the carnivore diet? Nutrition and food scientist Dr Emma Beckett takes us through what the evidence says about foods like meat, ice cream and potatoes — and unpicks why nutrition studies can be so conflicting and confusing. All six episodes of Cooked are avai ...
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