최고 Theoretical 팟캐스트 (2024)

1
Season 3, Episode 20 - Kingdom Hearts Land 1:18:00

11d ago1:18:00

1:18:00

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…

1
On large-scale modeling of mouse primary visual cortex - with Anton Arkhipov - #10 2:02:08

20d ago2:02:08

2:02:08

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…

1
On origins of computational neuroscience and AI as scientific fields - with Terrence Sejnowski (vintage) - #9 1:55:27

1M ago1:55:27

1:55:27

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 …

1
On reverse engineering of the roundworm C.elegans - with Konrad Kording - #8 1:34:14

2M ago1:34:14

1:34:14

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…

1
On topological data analysis and Hopfield-like network models - with Carina Curto - #7 2:14:41

3M ago2:14:41

2:14:41

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…

1
On central pattern generators in the spinal cord - with Henrik Lindén - #6 1:26:33

4M ago1:26:33

1:26:33

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

4M ago1:22:52

1:22:52

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

5M ago1:21:57

1:21:57

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

5M ago1:08:20

1:08:20

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

5M ago1:32:51

1:32:51

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

6M ago1:25:46

1:25:46

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

6M ago1:20:10

1:20:10

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…

1
Emergent Strings, the Weak Gravity Conjecture and their imprint in geometry, part 2 1:38:30

6M ago1:38:30

1:38:30

2023 Arnold Sommerfeld School저자 Timo Weigand (Hamburg University)

1
S-matrix implications for fundamental physics and cosmology 1:43:09

6M ago1:43:09

1:43:09

2023 Arnold Sommerfeld School저자 Gia Dvali (LMU Munich)

1
Finiteness, Complexity, and the Swampland, part 2 1:35:34

6M ago1:35:34

1:35:34

2023 Arnold Sommerfeld School저자 Thomas Grimm (Utrecht University)

1
Distance Conjecture and the Species Scale 1:34:35

6M ago1:34:35

1:34:35

2023 Arnold Sommerfeld School저자 Cumrun Vafa (Harvard)

1
Swampland Implications for Particle Physics, part 2 1:29:12

6M ago1:29:12

1:29:12

2023 Arnold Sommerfeld School저자 Irene Valenzuela (IFT Madrid & CERN)

1
Swampland and Cosmological Observations 1:29:42

6M ago1:29:42

1:29:42

2023 Arnold Sommerfeld School저자 Jochen Weller (LMU Munich)

1
An introduction to the species scale in quantum gravity and string theory 1:34:02

6M ago1:34:02

1:34:02

2023 Arnold Sommerfeld School저자 Niccolo Cribiori (MPP Munich)

1
The string theory landscape, part 2 1:46:34

6M ago1:46:34

1:46:34

2023 Arnold Sommerfeld School저자 Mariana Graña (IPhT, Saclay)

1
The string theory landscape, part 1 1:29:47

6M ago1:29:47

1:29:47

2023 Arnold Sommerfeld School저자 Mariana Graña (IPhT, Saclay)

1
An introduction to the Swampland, part 2 1:33:04

6M ago1:33:04

1:33:04

2023 Arnold Sommerfeld School저자 Eran Palti (Ben Gurion University)

1
An introduction to the Swampland, part 1 (1st half) 48:28

6M ago48:28

48:28

2023 Arnold Sommerfeld School저자 Eran Palti (Ben Gurion University)

1
An introduction to the Swampland, part 1 (2nd half) 34:46

6M ago34:46

34:46

2023 Arnold Sommerfeld School저자 Eran Palti (Ben Gurion University)

1
Spatial population genetics, Lecture 3 1:30:55

6M ago1:30:55

1:30:55

2019 Arnold Sommerfeld School: the Physics of Life저자 David Nelson

1
Statistical mechanics approaches for studying microbial growth, Lecture 3 1:31:35

6M ago1:31:35

1:31:35

2019 Arnold Sommerfeld School: the Physics of Life저자 Ariel Amir

1
Information theory and optimality in biological networks, Lecture 3 1:46:12

6M ago1:46:12

1:46:12

2019 Arnold Sommerfeld School: the Physics of Life저자 Gasper Tkacik

1
Fluid flows shaping morphology 1:01:57

6M ago1:01:57

1:01:57

2019 Arnold Sommerfeld School: the Physics of Life저자 Karen Alim

1
Motility-induced phase separation and pattern formation, Lecture 3 1:38:10

6M ago1:38:10

1:38:10

2019 Arnold Sommerfeld School: the Physics of Life저자 Julien Tailleur

1
Spatial population genetics, Lecture 2 1:32:37

6M ago1:32:37

1:32:37

2019 Arnold Sommerfeld School: the Physics of Life저자 David Nelson

1
Information theory and optimality in biological networks, Lecture 2 1:31:48

6M ago1:31:48

1:31:48

2019 Arnold Sommerfeld School: the Physics of Life저자 Gasper Tkacik

1
Motility-induced phase separation and pattern formation, Lecture 2 1:36:35

6M ago1:36:35

1:36:35

2019 Arnold Sommerfeld School: the Physics of Life저자 Julien Tailleur

1
Statistical mechanics approaches for studying microbial growth, Lecture 2 1:31:17

6M ago1:31:17

1:31:17

2019 Arnold Sommerfeld School: the Physics of Life저자 Ariel Amir

1
Information theory and optimality in biological networks, Lecture 1 1:34:10

6M ago1:34:10

1:34:10

2019 Arnold Sommerfeld School: the Physics of Life저자 Gasper Tkacik

1
Cell migration on microstructured surfaces: From single cell to collective behavior 51:54

6M ago51:54

51:54

2019 Arnold Sommerfeld School: the Physics of Life저자 Joachim Rädler

1
1D Active Matter, Guided Mechanochemical Pattern Formation, Lecture 3 59:54

6M ago59:54

59:54

2019 Arnold Sommerfeld School: the Physics of Life저자 Stephan Grill

1
1D Active Matter, Lecture 2 1:36:44

6M ago1:36:44

1:36:44

2019 Arnold Sommerfeld School: the Physics of Life저자 Stephan Grill

1
Motility-induced phase separation and pattern formation, Lecture 1 1:30:46

6M ago1:30:46

1:30:46

2019 Arnold Sommerfeld School: the Physics of Life저자 Julien Tailleur

1
Protein self-organization in cell division 1:05:05

6M ago1:05:05

1:05:05

2019 Arnold Sommerfeld School: the Physics of Life저자 Petra Schwille

1
1D Active Matter, Lecture 1 1:38:14

6M ago1:38:14

1:38:14

2019 Arnold Sommerfeld School: the Physics of Life저자 Stephan Grill

1
Spatial population genetics, Lecture 1 1:33:50

6M ago1:33:50

1:33:50

2019 Arnold Sommerfeld School: the Physics of Life저자 David Nelson

1
Statistical mechanics approaches for studying microbial growth, Lecture 1 1:34:32

6M ago1:34:32

1:34:32

2019 Arnold Sommerfeld School: the Physics of Life저자 Ariel Amir

1
Black hole information and spacetime behind the horizon, Lecture 3 1:34:04

6M ago1:34:04

1:34:04

2018 Arnold Sommerfeld School: Black Holes and Quantum Information저자 Kyriakos Papadodimas

1
Holography in General Spacetimes: Quantum Null Energy Condition and Perspectives on Firewalls 1:41:05

6M ago1:41:05

1:41:05

2018 Arnold Sommerfeld School: Black Holes and Quantum Information저자 Raphael Bousso

1
Geometry under microscope, Lecture 2 1:42:16

6M ago1:42:16

1:42:16

2018 Arnold Sommerfeld School: Black Holes and Quantum Information저자 Gia Dvali

1
Quantum Completeness versus Classical Incompleteness of Black-Holes 2:05:04

6M ago2:05:04

2:05:04

2018 Arnold Sommerfeld School: Black Holes and Quantum Information저자 Stefan Hofmann

1
The fuzzball paradigm: 2. The fuzzball construction 1:29:33

6M ago1:29:33

1:29:33

2018 Arnold Sommerfeld School: Black Holes and Quantum Information저자 Samir Mathur

1
Geometry under microscope, Lecture 3 1:50:37

6M ago1:50:37

1:50:37

2018 Arnold Sommerfeld School: Black Holes and Quantum Information저자 Gia Dvali

1
The fuzzball paradigm: 3. The causality constraint 1:33:34

6M ago1:33:34

1:33:34

2018 Arnold Sommerfeld School: Black Holes and Quantum Information저자 Samir Mathur

1
The fuzzball paradigm: 1. The small corrections theorem 1:34:18

6M ago1:34:18

1:34:18

2018 Arnold Sommerfeld School: Black Holes and Quantum Information저자 Samir Mathur

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