The podcast focuses on topics in theoretical/computational neuroscience and is primarily aimed at students and researchers in the field.
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All about my career as a writer! Cover art photo provided by Nick Morrison on Unsplash: https://unsplash.com/@nickmorrison
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Two friends Finn and Patty come up with sketches and segments they wish to see in the world and act them out, with hilarious results.
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Raise your consciousness by listening to a multidimensional guru from central Harlem, NY. Inspire yourself
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Learn about quantum mechanics, black holes, dark matter, plasma, particle accelerators, the Large Hadron Collider and other key Theoretical Physics topics. The Rudolf Peierls Centre for Theoretical Physics holds morning sessions consisting of three talks, pitched to explain an area of our research to an audience familiar with physics at about second-year undergraduate level.
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A podcast discussing the latest research in theoretical chemistry, including interviews with leading academics. Produced by PhD students in the TMCS Centre for Doctoral Training at Oxford University.
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science and science-related talk https://www.youtube.com/user/misteraranda/ https://twitter.com/MRdelisious Support this podcast: https://podcasters.spotify.com/pod/show/antonio-aranda/support
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The hosts compete by pitching original ideas for theme park rides and attractions based on that week’s chosen theme. A special guest judge awards a Bronze, Silver, or Gold ticket for three separate categories. MOST CREATIVE MOST PRACTICAL GUEST’S FAVORITE With bragging rights on the line, the hosts will try to pick each other’s ideas apart through “GENTLE” ribbing trying to sway the judge’s favor.
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Every year the Arnold Sommerfeld Center (ASC) for Theoretical Physics at the LMU in Munich organizes a school for PhD students. It covers topics which are of current interest in theoretical physics and range from more applied fields like condensed matter physics to rather mathematical fields like string theory. Announcements of upcoming schools can be found on the ASC schools webpage and a list of past schools can be found in the archive of the ASC schools.
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1
On the simulation tool NEURON - with Michael Hines - #15
1:26:35
1:26:35
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Computational 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…
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1
On the molecular memory code - with Sam Gershman - #14
1:20:44
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The 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 ret…
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1
On quantum biology - with Johnjoe McFadden - #13
1:17:20
1:17:20
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Is 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…
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On modeling of signaling pathways inside the neuron - with Avrama Blackwell - #12
1:31:40
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Most computational neuroscientists investigate electric dynamics in neurons or neural networks, but there is also computations going on inside neurons. Here the key dynamical variables are concentrations of numerous different molecules, and the signaling is typically done in cascades of chemical reactions, called signaling pathways. Today’s guest i…
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1
On synaptic learning rules for spiking neurons - with Friedemann Zenke - #11
1:30:44
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Today’s AI is largely based on supervised learning of neural networks using the backpropagation-of-error synaptic learning rule. This learning rule relies on differentiation of continuous activation functions and is thus not directly applicable to spiking neurons. Today’s guest has developed the algorithm SuperSpike to address the problem. He has a…
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1
Season 3, Episode 20 - Kingdom Hearts Land
1:18:00
1:18:00
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The guys are back in less time than it took the Kingdom Hearts 3 to appear with their very own Kingdom Hearts Land. Will they be able to hit the highs of Disney and Final Fantasy or will they be simply heartless nobodies. Special guest Tristan Littlefield joins the podcast this week. Check us out on Facebook Follow us on Instagram Hosts: Spencer Fr…
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On large-scale modeling of mouse primary visual cortex - with Anton Arkhipov - #10
2:02:08
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Over the last ten years or so, the MindScope project at the Allen Institute in Seattle has pursued an industrylab-like approach to study the mouse visual cortex in unprecedented detail using electrophysiology, optophysiology, optical imaging and electron microscopy. Together with collaborators at Allen, today’s guest has worked to integrate of thes…
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On origins of computational neuroscience and AI as scientific fields - with Terrence Sejnowski (vintage) - #9
1:55:27
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Today’s guest is a pioneer both in the fields of computational neuroscience and artificial intelligence (AI) and has had a front seat during their development. His many contributions include, for example, the invention of the Boltzmann machine with Ackley and Hinton in the mid 1980s. In this “vintage” episode recorded in late 2019 he describes the …
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On reverse engineering of the roundworm C.elegans - with Konrad Kording - #8
1:34:14
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Today’s guest has argued that the present dominant way of doing systems neuroscience in mammals (large-scale electric or optical recordings of neural activity combined with data analysis) will be inadequate for understanding how their brain works. Instead, he proposes to focus on the simple roundworm C.elegans with only 302 neurons and try to rever…
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On topological data analysis and Hopfield-like network models - with Carina Curto - #7
2:14:41
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Over the last decade topological analysis has been established as a new tool for analysis of spiking data. Today’s guest has been a pioneer in adapting this mathematical technique for use in our field and explains concepts and example applications. We also also talk about so-called threshold-linear network model, a generalization of Hopfield networ…
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On central pattern generators in the spinal cord - with Henrik Lindén - #6
1:26:33
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Not all interesting network activity occurs in cortex. Networks in the spinal cord, the long thin tubular structure extending downwards from the neck, is responsible for setting up rhythmic motor activity needed for moving around. How do these so-called central pattern generators work? Today’s guest has, together with colleagues in Copenhagen, deve…
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Season 3, Episode 19 - Nightmare Before Christmas Land
1:22:52
1:22:52
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What's This? What's This? It's that time of year and what better way to celebrate than with a Nightmare Before Christmas! Will the guys pitch their dream attractions to special guest Camille Falciola or will they be left with only nightmares? Learn More about Camille Here! Check us out on Facebook Follow us on Instagram Hosts: Spencer Frankeberger,…
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On how vision works - with Li Zhaoping - #5
1:21:57
1:21:57
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We know a lot about of how neurons in the primary visual cortex (V1) of mammals respond to visual stimuli. But how does the vast information contained in the spiking of millions of neurons in V1 give rise to our visual percepts? The guest’s theory is that V1 acts as a “saliency detector” directing the gaze to the most important object in the visual…
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Season 3, Episode 18 - Howard the Duck Land
1:08:20
1:08:20
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Life is crazy! Good thing Howard the Duck is here to make everything right and bring you a new episode of Theoretical Thrills! Comic Book Duck Connoisseur and Theme Park Expert Kevin Brooks joins the guys as this week's special guest and judge. Click Here to Watch the Visual Podcast Check us out on Facebook Follow us on Instagram Hosts: Spencer Fra…
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On multi-area cortex models - with Sacha van Albada - #4
1:32:51
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A key goal of computational neuroscience is to build mathematical models linking single-neuron activity to systems-level activity. The guest has taken some bold steps in this direction by developing and exploring a multi-area model for the macaque visual cortex, and later also a model for the human cortex, using millions of simplified spiking neuro…
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On the neural code - with Arvind Kumar - #3
1:25:46
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It is widely thought that spikes (action potentials) are the main carrier of information in the brain. But what is the neural code, that is, what aspects of the spike trains carry the information? The detailed temporal structure or maybe only the average firing rate? And is there information in the correlation between spike trains in populations of…
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On biophysics of computation – with Christof Koch - #2
1:20:10
1:20:10
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Starting from the pioneering work of Hodgkin, Huxley and Rall in the 1950s and 60s, we have a well-founded biophysics-based mathematical understanding of how neurons integrate signals from other neurons and generate action potentials. Today’s guest wrote the classic book “Biophysics of Computation” on the subject in 1998. We discuss its contents, w…
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1
Emergent Strings, the Weak Gravity Conjecture and their imprint in geometry, part 2
1:38:30
1:38:30
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2023 Arnold Sommerfeld SchoolBy Timo Weigand (Hamburg University)
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S-matrix implications for fundamental physics and cosmology
1:43:09
1:43:09
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2023 Arnold Sommerfeld SchoolBy Gia Dvali (LMU Munich)
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Finiteness, Complexity, and the Swampland, part 2
1:35:34
1:35:34
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2023 Arnold Sommerfeld SchoolBy Thomas Grimm (Utrecht University)
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1
Distance Conjecture and the Species Scale
1:34:35
1:34:35
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2023 Arnold Sommerfeld SchoolBy Cumrun Vafa (Harvard)
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Swampland Implications for Particle Physics, part 2
1:29:12
1:29:12
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2023 Arnold Sommerfeld SchoolBy Irene Valenzuela (IFT Madrid & CERN)
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1
Swampland and Cosmological Observations
1:29:42
1:29:42
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2023 Arnold Sommerfeld SchoolBy Jochen Weller (LMU Munich)
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1
An introduction to the species scale in quantum gravity and string theory
1:34:02
1:34:02
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2023 Arnold Sommerfeld SchoolBy Niccolo Cribiori (MPP Munich)
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1
The string theory landscape, part 2
1:46:34
1:46:34
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2023 Arnold Sommerfeld SchoolBy Mariana Graña (IPhT, Saclay)
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1
The string theory landscape, part 1
1:29:47
1:29:47
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2023 Arnold Sommerfeld SchoolBy Mariana Graña (IPhT, Saclay)
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1
An introduction to the Swampland, part 2
1:33:04
1:33:04
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2023 Arnold Sommerfeld SchoolBy Eran Palti (Ben Gurion University)
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1
An introduction to the Swampland, part 1 (1st half)
48:28
48:28
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2023 Arnold Sommerfeld SchoolBy Eran Palti (Ben Gurion University)
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1
An introduction to the Swampland, part 1 (2nd half)
34:46
34:46
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2023 Arnold Sommerfeld SchoolBy Eran Palti (Ben Gurion University)
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1
Spatial population genetics, Lecture 3
1:30:55
1:30:55
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2019 Arnold Sommerfeld School: the Physics of LifeBy David Nelson
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1
Statistical mechanics approaches for studying microbial growth, Lecture 3
1:31:35
1:31:35
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2019 Arnold Sommerfeld School: the Physics of LifeBy Ariel Amir
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1
Information theory and optimality in biological networks, Lecture 3
1:46:12
1:46:12
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2019 Arnold Sommerfeld School: the Physics of LifeBy Gasper Tkacik
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2019 Arnold Sommerfeld School: the Physics of LifeBy Karen Alim
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1
Motility-induced phase separation and pattern formation, Lecture 3
1:38:10
1:38:10
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2019 Arnold Sommerfeld School: the Physics of LifeBy Julien Tailleur
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1
Spatial population genetics, Lecture 2
1:32:37
1:32:37
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2019 Arnold Sommerfeld School: the Physics of LifeBy David Nelson
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1
Information theory and optimality in biological networks, Lecture 2
1:31:48
1:31:48
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2019 Arnold Sommerfeld School: the Physics of LifeBy Gasper Tkacik
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1
Motility-induced phase separation and pattern formation, Lecture 2
1:36:35
1:36:35
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2019 Arnold Sommerfeld School: the Physics of LifeBy Julien Tailleur
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1
Statistical mechanics approaches for studying microbial growth, Lecture 2
1:31:17
1:31:17
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2019 Arnold Sommerfeld School: the Physics of LifeBy Ariel Amir
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1
Information theory and optimality in biological networks, Lecture 1
1:34:10
1:34:10
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2019 Arnold Sommerfeld School: the Physics of LifeBy Gasper Tkacik
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1
Cell migration on microstructured surfaces: From single cell to collective behavior
51:54
51:54
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2019 Arnold Sommerfeld School: the Physics of LifeBy Joachim Rädler
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1
1D Active Matter, Guided Mechanochemical Pattern Formation, Lecture 3
59:54
59:54
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2019 Arnold Sommerfeld School: the Physics of LifeBy Stephan Grill
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2019 Arnold Sommerfeld School: the Physics of LifeBy Stephan Grill
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1
Motility-induced phase separation and pattern formation, Lecture 1
1:30:46
1:30:46
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2019 Arnold Sommerfeld School: the Physics of LifeBy Julien Tailleur
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1
Protein self-organization in cell division
1:05:05
1:05:05
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2019 Arnold Sommerfeld School: the Physics of LifeBy Petra Schwille
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2019 Arnold Sommerfeld School: the Physics of LifeBy Stephan Grill
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1
Spatial population genetics, Lecture 1
1:33:50
1:33:50
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2019 Arnold Sommerfeld School: the Physics of LifeBy David Nelson
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1
Statistical mechanics approaches for studying microbial growth, Lecture 1
1:34:32
1:34:32
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2019 Arnold Sommerfeld School: the Physics of LifeBy Ariel Amir
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1
Black hole information and spacetime behind the horizon, Lecture 3
1:34:04
1:34:04
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2018 Arnold Sommerfeld School: Black Holes and Quantum InformationBy Kyriakos Papadodimas
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Holography in General Spacetimes: Quantum Null Energy Condition and Perspectives on Firewalls
1:41:05
1:41:05
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2018 Arnold Sommerfeld School: Black Holes and Quantum InformationBy Raphael Bousso
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1
Geometry under microscope, Lecture 2
1:42:16
1:42:16
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2018 Arnold Sommerfeld School: Black Holes and Quantum InformationBy Gia Dvali
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