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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science and science-related talk https://www.youtube.com/user/misteraranda/ https://twitter.com/MRdelisious
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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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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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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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On growing synthetic dendrites – with Hermann Cuntz - #25
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1:34:34The 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 (…
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On neuroscience foundation models - with Andreas Tolias - #24
1:31:43
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1:31:43The 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 neu…
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On human whole-brain models - with Viktor Jirsa - #23
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1:55:21A 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 podca…
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On 40 years with the Hopfield network model - with Wulfram Gerstner - #22
1:27:49
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1:27:49In 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 …
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On models for short-term memory - with Pawel Herman - #21
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1:47:42The 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 …
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On neuro-AI on the boat - part 2 of 2 - with Cristina Savin, Tim Vogels, Mikkel Lepperød, Paul Middlebrooks - #20
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1:21:03In 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 Vo…
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On neuro-AI on the boat - part 1 of 2 - with Ken Harris, Andreas Tolias, Mikkel Lepperød, Paul Middlebrooks - #19
1:19:26
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1:19:26In 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 abo…
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Quantum Monte Carlo methods for fermion Hamiltonians with sign problem, and applications in the Hubbard model, part 1
1:26:17
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1:26:172024 Arnold Sommerfeld SchoolBởi Shiwei Zhang (Flatiron)
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Quantum Monte Carlo methods for fermion Hamiltonians with sign problem, and applications in the Hubbard model, part 2
1:35:29
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1:35:292024 Arnold Sommerfeld SchoolBởi Shiwei Zhang (Flatiron)
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Engineering flat-bands in moiré materials, part 2
1:15:51
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1:15:512024 Arnold Sommerfeld SchoolBởi Dmitri Efetov (LMU Munich)
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Spatial population genetics, Lecture 3
1:30:55
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1:30:552019 Arnold Sommerfeld School: the Physics of LifeBởi David Nelson
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Statistical mechanics approaches for studying microbial growth, Lecture 3
1:31:35
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1:31:352019 Arnold Sommerfeld School: the Physics of LifeBởi Ariel Amir
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Information theory and optimality in biological networks, Lecture 3
1:46:12
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1:46:122019 Arnold Sommerfeld School: the Physics of LifeBởi Gasper Tkacik
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2019 Arnold Sommerfeld School: the Physics of LifeBởi Karen Alim
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Motility-induced phase separation and pattern formation, Lecture 3
1:38:10
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1:38:102019 Arnold Sommerfeld School: the Physics of LifeBởi Julien Tailleur
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Spatial population genetics, Lecture 2
1:32:37
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1:32:372019 Arnold Sommerfeld School: the Physics of LifeBởi David Nelson
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Information theory and optimality in biological networks, Lecture 2
1:31:48
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1:31:482019 Arnold Sommerfeld School: the Physics of LifeBởi Gasper Tkacik
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Motility-induced phase separation and pattern formation, Lecture 2
1:36:35
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1:36:352019 Arnold Sommerfeld School: the Physics of LifeBởi Julien Tailleur
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Statistical mechanics approaches for studying microbial growth, Lecture 2
1:31:17
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1:31:172019 Arnold Sommerfeld School: the Physics of LifeBởi Ariel Amir
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Information theory and optimality in biological networks, Lecture 1
1:34:10
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1:34:102019 Arnold Sommerfeld School: the Physics of LifeBởi Gasper Tkacik
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Cell migration on microstructured surfaces: From single cell to collective behavior
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51:542019 Arnold Sommerfeld School: the Physics of LifeBởi Joachim Rädler
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1D Active Matter, Guided Mechanochemical Pattern Formation, Lecture 3
59:54
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59:542019 Arnold Sommerfeld School: the Physics of LifeBởi Stephan Grill
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2019 Arnold Sommerfeld School: the Physics of LifeBởi Stephan Grill
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Motility-induced phase separation and pattern formation, Lecture 1
1:30:46
1:30:46
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1:30:462019 Arnold Sommerfeld School: the Physics of LifeBởi Julien Tailleur
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Protein self-organization in cell division
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1:05:052019 Arnold Sommerfeld School: the Physics of LifeBởi Petra Schwille
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2019 Arnold Sommerfeld School: the Physics of LifeBởi Stephan Grill
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Spatial population genetics, Lecture 1
1:33:50
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1:33:502019 Arnold Sommerfeld School: the Physics of LifeBởi David Nelson
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Statistical mechanics approaches for studying microbial growth, Lecture 1
1:34:32
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1:34:322019 Arnold Sommerfeld School: the Physics of LifeBởi Ariel Amir
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Black hole information and spacetime behind the horizon, Lecture 3
1:34:04
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1:34:042018 Arnold Sommerfeld School: Black Holes and Quantum InformationBởi Kyriakos Papadodimas
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Holography in General Spacetimes: Quantum Null Energy Condition and Perspectives on Firewalls
1:41:05
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1:41:052018 Arnold Sommerfeld School: Black Holes and Quantum InformationBởi Raphael Bousso
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Geometry under microscope, Lecture 2
1:42:16
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1:42:162018 Arnold Sommerfeld School: Black Holes and Quantum InformationBởi Gia Dvali
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Quantum Completeness versus Classical Incompleteness of Black-Holes
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2:05:042018 Arnold Sommerfeld School: Black Holes and Quantum InformationBởi Stefan Hofmann
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The fuzzball paradigm: 2. The fuzzball construction
1:29:33
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1:29:332018 Arnold Sommerfeld School: Black Holes and Quantum InformationBởi Samir Mathur
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Geometry under microscope, Lecture 3
1:50:37
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1:50:372018 Arnold Sommerfeld School: Black Holes and Quantum InformationBởi Gia Dvali
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The fuzzball paradigm: 3. The causality constraint
1:33:34
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1:33:342018 Arnold Sommerfeld School: Black Holes and Quantum InformationBởi Samir Mathur
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The fuzzball paradigm: 1. The small corrections theorem
1:34:18
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1:34:182018 Arnold Sommerfeld School: Black Holes and Quantum InformationBởi Samir Mathur
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Introduction to black hole informatics, Lecture 3
1:36:44
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1:36:442018 Arnold Sommerfeld School: Black Holes and Quantum InformationBởi Larus Thorlacius
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Holography in General Spacetimes: Covariant Entropy Bound and Quantum Focussing
1:28:40
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1:28:402018 Arnold Sommerfeld School: Black Holes and Quantum InformationBởi Raphael Bousso
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Black hole information and spacetime behind the horizon, Lecture 2
1:34:23
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1:34:232018 Arnold Sommerfeld School: Black Holes and Quantum InformationBởi Kyriakos Papadodimas
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Geometry under microscope, Lecture 1
1:44:22
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1:44:222018 Arnold Sommerfeld School: Black Holes and Quantum InformationBởi Gia Dvali
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Introduction to black hole informatics, Lecture 1
1:36:06
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1:36:062018 Arnold Sommerfeld School: Black Holes and Quantum InformationBởi Larus Thorlacius
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Black hole information and spacetime behind the horizon, Lecture 1
1:36:18
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1:36:182018 Arnold Sommerfeld School: Black Holes and Quantum InformationBởi Kyriakos Papadodimas
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Holography in General Spacetimes: The Bekenstein Bound
1:31:50
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1:31:502018 Arnold Sommerfeld School: Black Holes and Quantum InformationBởi Raphael Bousso
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Introduction to black hole informatics, Lecture 2
1:35:40
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1:35:402018 Arnold Sommerfeld School: Black Holes and Quantum InformationBởi Larus Thorlacius
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Holography in General Spacetimes: The Bekenstein bound, questions after the lecture
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3:162018 Arnold Sommerfeld School: Black Holes and Quantum InformationBởi Raphael Bousso
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2017 Arnold Sommerfeld School: Numerical Methods for Correlated Many-Body SystemsBởi Norbert Schuch
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Quantum Monte Carlo methods, Lecture 2
1:24:29
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1:24:292017 Arnold Sommerfeld School: Numerical Methods for Correlated Many-Body SystemsBởi Lode Pollet
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Projected entangled pair states (PEPS) (introduction)
1:42:39
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1:42:392017 Arnold Sommerfeld School: Numerical Methods for Correlated Many-Body SystemsBởi Philippe Corboz
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Dynamical Mean Field Theory (DMFT) and impurity solvers, Lecture 3
1:08:56
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1:08:562017 Arnold Sommerfeld School: Numerical Methods for Correlated Many-Body SystemsBởi Olivier Parcollet
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Quantum Monte Carlo methods, Lecture 1
1:31:52
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1:31:522017 Arnold Sommerfeld School: Numerical Methods for Correlated Many-Body SystemsBởi Lode Pollet
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