Domains featuring this topic
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On the computational neuroscience legacy of Valentino Braitenberg - with Ad Aertsen - #43
Ad Aertsen reflects on Valentino Braitenberg's contributions to neuroscience, including anatomy, synthetic psychology and theories of neural computation.
On neuronal identity and representational drift - with Timothy O'Leary - #42
Timothy O'Leary discusses how neurons preserve functional identity despite molecular turnover and how related processes may contribute to changing representations.
On functional effects of neuronal heterogeneity - with David Dahmen - #41
David Dahmen examines how differences between individual neurons affect network function and when homogeneous models miss important behaviour.
On smelling your way to the fruit with ring models - with Katherine Nagel - #40
Katherine Nagel discusses how fruit flies navigate using odour and how ring models can explain the short-term memory involved.
On modeling neural population activity with mean-field models - with Tilo Schwalger - #39
Tilo Schwalger discusses population-level descriptions of neural dynamics and how mean-field models can be derived from underlying network mechanisms.
On extracting spiking network models from experiments - with Richard Gao - #38
Richard Gao discusses fitting spiking-network models to experimental data and dealing with different parameter combinations that explain similar observations.
On reproducibility of modeling and 10 years with the Potjans-Diesmann network model - with Hans Ekkehard Plesser - #37
Hans Ekkehard Plesser discusses reproducibility in computational research through a decade of work with the Potjans-Diesmann cortical network model.
On low-dimensional manifolds in motor cortex - with Sara Solla - #36
Sara Solla discusses how low-dimensional descriptions can reveal structure in recordings from large populations of motor-cortex neurons.
On modeling metabolic networks in the brain – with Polina Shichkova - #35
Polina Shichkova discusses models of brain metabolism, including energy supply and the cellular processes that maintain neuronal function.
On balanced neural networks - with Nicolas Brunel - #34
Nicolas Brunel discusses excitation-inhibition balance and mathematical explanations of irregular activity in cortical networks.
On computational neurotechnology for the clinic - with Anthony Burkitt, Nada Yousif & Esra Neufeld - #33
Anthony Burkitt, Nada Yousif and Esra Neufeld discuss how computational research can inform neurotechnology for clinical use.
On IIT and adversarial testing of consciousness theories - with Christof Koch - #32
Christof Koch discusses collaborative tests designed by proponents of competing consciousness theories and what the findings imply for those accounts.
On how to cure brain diseases - with Nicole Rust - #31
Nicole Rust examines the relationship between basic neuroscience discoveries and progress toward treatments for brain disorders.
On co-dependent excitatory and inhibitory plasticity - with Tim Vogels - #30
Tim Vogels discusses the interaction of excitatory and inhibitory plasticity and its implications for learning and stable network activity.
On the philosophy of simplification in computational neuroscience - with Mazviita Chirimuuta and Terrence Sejnowski - #29
Mazviita Chirimuuta and Terrence Sejnowski discuss how researchers choose appropriate simplifications when constructing explanations of brain function.
On whole-cell modeling of bacteria - with Markus Covert - #28
Markus Covert discusses comprehensive bacterial cell simulations and what whole-cell modelling could contribute to future studies of neurons.
On construction and clinical use of multipurpose neuron models - with Etay Hay - #27
Etay Hay discusses building neuron models that support multiple research questions and exploring their use in clinical problems.
On the population code in visual cortex - with Kenneth Harris - #26
Kenneth Harris discusses what simultaneous recordings from many cells reveal about visual information encoded by neuronal populations.
On growing synthetic dendrites – with Hermann Cuntz - #25
Hermann Cuntz discusses computational explanations of dendritic branching and the construction of synthetic neuronal morphologies.
On neuroscience foundation models - with Andreas Tolias - #24
Andreas Tolias discusses foundation models trained on large neuroscience datasets and their potential to generalize across experimental settings.
On human whole-brain models - with Viktor Jirsa - #23
Viktor Jirsa discusses linking brain models across scales and using individualized whole-brain simulations in the Virtual Brain Twin project.
On 40 years with the Hopfield network model - with Wulfram Gerstner - #22
Wulfram Gerstner discusses the history, operation and continuing influence of Hopfield networks as models of associative memory.
On models for short-term memory - with Pawel Herman - #21
Pawel Herman discusses models of working memory and the mechanisms that can maintain information over short timescales.
On neuro-AI on the boat - part 2 of 2 - with Cristina Savin, Tim Vogels, Mikkel Lepperød, Paul Middlebrooks - #20
The second workshop conversation features Cristina Savin, Tim Vogels, Mikkel Lepperød and Paul Middlebrooks discussing how AI and neuroscience influence one another.
On neuro-AI on the boat - part 1 of 2 - with Ken Harris, Andreas Tolias, Mikkel Lepperød, Paul Middlebrooks - #19
The first of two workshop conversations brings together Ken Harris, Andreas Tolias, Mikkel Lepperød and Paul Middlebrooks to discuss connections between AI and brain research.
On electric brain signals - solo episode - #18
Gaute Einevoll explains how biophysical models connect neural activity to extracellular measurements such as spikes, local field potentials and EEG.
On dendritic function - with Yiota Poirazi - #17
Yiota Poirazi discusses dendritic processing and how detailed neuronal models help test explanations of dendritic function.
On consciousness - with Christof Koch - #16
Christof Koch discusses scientific approaches to conscious experience, including integrated information theory. This series edition revisits an earlier conversation.
On the simulation tool NEURON - with Michael Hines - #15
Michael Hines discusses the development of NEURON and its use in simulating biophysically detailed cells and networks.
On the molecular memory code - with Sam Gershman - #14
Sam Gershman discusses molecular accounts of memory and how they relate to the dominant view of storage through changes in synapses.