Come dive into one of the curiously delightful conversations overheard at National Geographic’s headquarters, as we follow explorers, photographers, and scientists to the edges of our big, weird, beautiful world. Hosted by Peter Gwin and Amy Briggs.
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Neuropixels: big data heaven or burying the lead in averages?
MP3•Bölüm sayfası
Manage episode 352828092 series 1258384
İçerik Future Science Group tarafından sağlanmıştır. Bölümler, grafikler ve podcast açıklamaları dahil tüm podcast içeriği doğrudan Future Science Group veya podcast platform ortağı tarafından yüklenir ve sağlanır. Birinin telif hakkıyla korunan çalışmanızı izniniz olmadan kullandığını düşünüyorsanız burada https://tr.player.fm/legal özetlenen süreci takip edebilirsiniz.
In this special episode of Talking techniques, one of two recorded at Neuroscience 2022, we speak to Tim Harris (Howard Hughes Medical Institute, VA, USA). Tim is the creator of Neuropixels, neural recording probes inserted into the brains of animal models, which allow researchers to collect signals from hundreds of individual neurons in different brain regions simultaneously over extended periods of time. Here, he shares the story behind his creation and details how they have changed the data collection landscape in Neuroscience. Tim also considers every inventor’s greatest concern: has his invention led to purely positive outcomes for the field? By enabling the collection of huge datasets have Neuropixels led to studies that bury findings in vast swathes of data or have they enabled researchers to collect enough information to discover the emphatic truth? Listen now to find out Tim’s opinions on these contentious debates in neuroscience and get key tips for utilizing neuropixels! Contents:Introduction: 00:00-03:00Tim's symposium on the capabilities of Neuropixels: 03:00-04.00Key takeaways from the symposium: 04:00-07:45The story of the development of neuropixels: 07:45-13:50Best practice tips for utilizing neuropixels: 13:50-15:15Challenges of utilizing neuropixels: 15:15-15:50Addressing the challenge of big data and sharing uncertainty: 15:50-17:30How neuropixels have accelerated neuroscience data generation: 17:30-19:30
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280 bölüm
MP3•Bölüm sayfası
Manage episode 352828092 series 1258384
İçerik Future Science Group tarafından sağlanmıştır. Bölümler, grafikler ve podcast açıklamaları dahil tüm podcast içeriği doğrudan Future Science Group veya podcast platform ortağı tarafından yüklenir ve sağlanır. Birinin telif hakkıyla korunan çalışmanızı izniniz olmadan kullandığını düşünüyorsanız burada https://tr.player.fm/legal özetlenen süreci takip edebilirsiniz.
In this special episode of Talking techniques, one of two recorded at Neuroscience 2022, we speak to Tim Harris (Howard Hughes Medical Institute, VA, USA). Tim is the creator of Neuropixels, neural recording probes inserted into the brains of animal models, which allow researchers to collect signals from hundreds of individual neurons in different brain regions simultaneously over extended periods of time. Here, he shares the story behind his creation and details how they have changed the data collection landscape in Neuroscience. Tim also considers every inventor’s greatest concern: has his invention led to purely positive outcomes for the field? By enabling the collection of huge datasets have Neuropixels led to studies that bury findings in vast swathes of data or have they enabled researchers to collect enough information to discover the emphatic truth? Listen now to find out Tim’s opinions on these contentious debates in neuroscience and get key tips for utilizing neuropixels! Contents:Introduction: 00:00-03:00Tim's symposium on the capabilities of Neuropixels: 03:00-04.00Key takeaways from the symposium: 04:00-07:45The story of the development of neuropixels: 07:45-13:50Best practice tips for utilizing neuropixels: 13:50-15:15Challenges of utilizing neuropixels: 15:15-15:50Addressing the challenge of big data and sharing uncertainty: 15:50-17:30How neuropixels have accelerated neuroscience data generation: 17:30-19:30
…
continue reading
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