Neuro-Informatics podcasts

Sara Solla discusses how low-dimensional descriptions can reveal structure in recordings from large populations of motor-cortex neurons.

A panel examines whether a static synaptic wiring diagram can reveal a specific learned memory. The discussion addresses experimental designs and benchmarks, connectome proofreading bottlenecks, definitions of memory, differences across model organisms and the technological and conceptual limits of connectome decoding. The publisher notes imperfect audio and provides a subtitled video version.

Andreas Tolias discusses foundation models trained on large neuroscience datasets and their potential to generalize across experimental settings.

A panel at Aspirational Neuroscience examines whether a meaningful memory could be recovered from a static connectome. Anton Arkhipov, Konrad Kording, Tomás Ryan, Srinivas Turaga, Dong Song and Zhihao Zheng discuss the technologies, biological information and conceptual obstacles involved, with an introduction by Kenneth Hayworth and moderation by Paul Middlebrooks. The publisher supplies audio only.

Hosted by Paul Middlebrooks

Jan Bjaalie and Hans Ekkehard Plesser discuss computational approaches to brain research and the Human Brain Project. Conversation in Norwegian.