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On modeling neural population activity with mean-field models - with Tilo Schwalger - #39
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On extracting spiking network models from experiments - with Richard Gao - #38
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On reproducibility of modeling and 10 years with the Potjans-Diesmann network model - with Hans Ekkehard Plesser - #37
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On low-dimensional manifolds in motor cortex - with Sara Solla - #36
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On modeling metabolic networks in the brain – with Polina Shichkova - #35
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On balanced neural networks - with Nicolas Brunel - #34
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On computational neurotechnology for the clinic - with Anthony Burkitt, Nada Yousif & Esra Neufeld - #33
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On IIT and adversarial testing of consciousness theories - with Christof Koch - #32
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On how to cure brain diseases - with Nicole Rust - #31
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On co-dependent excitatory and inhibitory plasticity - with Tim Vogels - #30
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On the philosophy of simplification in computational neuroscience - with Mazviita Chirimuuta and Terrence Sejnowski - #29
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On whole-cell modeling of bacteria - with Markus Covert - #28
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On construction and clinical use of multipurpose neuron models - with Etay Hay - #27
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On the population code in visual cortex - with Kenneth Harris - #26
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On growing synthetic dendrites – with Hermann Cuntz - #25
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On neuroscience foundation models - with Andreas Tolias - #24
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On human whole-brain models - with Viktor Jirsa - #23
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On 40 years with the Hopfield network model - with Wulfram Gerstner - #22
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On models for short-term memory - with Pawel Herman - #21
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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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On neuro-AI on the boat - part 1 of 2 - with Ken Harris, Andreas Tolias, Mikkel Lepperød, Paul Middlebrooks - #19
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On electric brain signals - solo episode - #18
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On dendritic function - with Yiota Poirazi - #17
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On consciousness - with Christof Koch - #16
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On the simulation tool NEURON - with Michael Hines - #15
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On the molecular memory code - with Sam Gershman - #14
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On quantum biology - with Johnjoe McFadden - #13
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On modeling of signaling pathways inside the neuron - with Avrama Blackwell - #12
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On synaptic learning rules for spiking neurons - with Friedemann Zenke - #11
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On large-scale modeling of mouse primary visual cortex - with Anton Arkhipov - #10
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On origins of computational neuroscience and AI as scientific fields - with Terrence Sejnowski (vintage) - #9
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On reverse engineering of the roundworm C.elegans - with Konrad Kording - #8
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On topological data analysis and Hopfield-like network models - with Carina Curto - #7
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On central pattern generators in the spinal cord - with Henrik Lindén - #6
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On how vision works - with Li Zhaoping - #5
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On multi-area cortex models - with Sacha van Albada - #4
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On the neural code - with Arvind Kumar - #3
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On biophysics of computation – with Christof Koch - #2
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On models of the mind - with Grace Lindsay - #1
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