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Theoretical Neuroscience Podcast

Latest episodes

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Aug 3, 2024 • 2h 5min

On consciousness - with Christof Koch - #16

Christof Koch, a trailblazer in consciousness studies, dives deep into the enigma of why groups of atoms can feel, sparking a fascinating discussion. He explores Integrated Information Theory and its implications for understanding consciousness. The conversation also navigates the neural basis of face recognition and the contrasting states of consciousness. Koch emphasizes advancements in measuring consciousness and the intriguing connections between psychedelics and perception. Finally, he ponders the ethical dimensions of consciousness in relation to food choices and the potential of artificial consciousness.
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Jul 20, 2024 • 1h 27min

On the simulation tool NEURON - with Michael Hines - #15

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, including CoreNEURON optimized for parallel execution of large-scale network models on multicore supercomputers.
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Jun 22, 2024 • 1h 21min

On the molecular memory code - with Sam Gershman - #14

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 returning, and the guest has presented a theory suggesting that molecular and synaptic memory might serve complementary needs for animals. 
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Jun 8, 2024 • 1h 17min

On quantum biology - with Johnjoe McFadden - #13

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 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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May 25, 2024 • 1h 32min

On modeling of signaling pathways inside the neuron - with Avrama Blackwell - #12

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 is an expert in this kind of modelling and is particularly interested in the signaling role of calcium.
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Apr 27, 2024 • 1h 31min

On synaptic learning rules for spiking neurons - with Friedemann Zenke - #11

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 also recently developed a biologically more plausible learning rule based on self-supervised learning. We talk about both.  
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Mar 30, 2024 • 2h 2min

On large-scale modeling of mouse primary visual cortex - with Anton Arkhipov - #10

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 these data into large-scale neural network, and in the podcast he talks about their ambitious endeavor.
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Mar 16, 2024 • 1h 55min

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

Delving into the origins of computational neuroscience and AI, the podcast explores the transition from rule-based to learning-based AI approaches. It highlights the unreasonable effectiveness of math in deep learning and the evolution of reinforcement learning in neural structures. The synergy of AI and neuroscience in medical diagnostics, advancements in self-driving technology, and the transformative impact of AI on society are also discussed.
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13 snips
Mar 2, 2024 • 1h 34min

On reverse engineering of the roundworm C.elegans - with Konrad Kording - #8

Challenges in traditional neuroscience methods, focus on reverse engineering C.elegans, parallels between transistors and neurons, pitfalls of statistical analysis in biology, mechanistic understanding in neuroscience, neural complexity of C.elegans, error recalibration in neural modeling, activation functions in machine learning, optimization challenges in bio-physical models, variability in neural networks
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Feb 3, 2024 • 2h 15min

On topological data analysis and Hopfield-like network models - with Carina Curto - #7

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 networks exhibiting a much richer dynamics, where Carina has done some exciting mathematical explorations

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