Carsen Stringer's guest appearances

Carsen Stringer

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Dr. Carsen Stringer’s passion for science has manifested in a career rich with moments of creative brilliance. Starting as an undergraduate, she mused about the utility of chaotic systems to understand the vast neuronal networks in the brain, an insight she followed into her PhD at University College London. Her decision to combine computational approaches with behavioral experiments and large-scale recordings in rodents led to the discovery that behavioral states are multi-dimensional. This balanced computational-behavioral approach continued into Carsen’s postdoctoral research and eventual Group Leader position at Janelia Research Campus. Her brand new lab employs data-driven, computational approaches to study visual behavior. Dr. Stringer is also an advocate for open science and has contributed to widely-used open-access tools intended for more thorough quantification in behavioral science. Her passion for science, mentorship, and independent thinking shine through in her career and will undoubtedly lead to even more exciting discoveries.

Dr. Carsen Stringer’s passion for science has manifested in a career rich with moments of creative brilliance. Starting as an undergraduate, she mused about the utility of chaotic systems to understand the vast neuronal networks in the brain, an insight she followed into her PhD at University College London. Her decision to combine computational approaches with behavioral experiments and large-scale recordings in rodents led to the discovery that behavioral states are multi-dimensional. This balanced computational-behavioral approach continued into Carsen’s postdoctoral research and eventual Group Leader position at Janelia Research Campus. Her brand new lab employs data-driven, computational approaches to study visual behavior. Dr. Stringer is also an advocate for open science and has contributed to widely-used open-access tools intended for more thorough quantification in behavioral science. Her passion for science, mentorship, and independent thinking shine through in her career and will undoubtedly lead to even more exciting discoveries.

Dr. Carsen Stringer

Podcast: Brain Inspired (LS 46 · TOP 1% what is this?)Episode: BI 091 Carsen Stringer: Understanding 40,000 NeuronsPub date: 2020-12-04Carsen and I discuss how she uses 2-photon calcium imaging data from over 10,000 neurons to understand the information processing of such large neural population activity. We talk about the tools she makes and uses to analyze the data, and the type of high-dimensional neural activity structure they found, which seems to allow efficient and robust information processing. We also talk about how these findings may help build better deep learning networks, and Carsen's thoughts on how to improve the diversity, inclusivity, and equality in neuroscience research labs. Guest question from Matt Smith. Stringer Lab.Twitter: @computingnature.The papers we discuss or mention:High-dimensional geometry of population responses in visual cortexSpontaneous behaviors drive multidimensional, brain-wide population activity. Timestamps: 0:00 - Intro  5:51 - Recording &gt; 10k neurons  8:51 - 2-photon calcium imaging  14:56 - Balancing scientific questions and tools  21:16 - Unsupervised learning tools and rastermap  26:14 - Manifolds  32:13 - Matt Smith question  37:06 - Dimensionality of neural activity  58:51 - Future plans  1:00:30- What can AI learn from this?  1:13:26 - Diversity, inclusivity, equalityThe podcast and artwork embedded on this page are from Paul Middlebrooks, which is the property of its owner and not affiliated with or endorsed by Listen Notes, Inc.

Podcast: <a href="https://www.listennotes.com/podcasts/brain-inspired-paul-middlebrooks-e1D82rMKZyp/" rel="nofollow" target="_blank">Brain Inspired</a> (LS 46 · TOP 1% <a href="https://www.listennotes.com/listen-score/" rel="nofollow" target="_blank">what is this?</a>) Episode: <a href="https://www.listennotes.com/e/8f32357bd8a0418a8f8ff255c86f1e6b/" rel="nofollow" target="_blank">BI 091 Carsen Stringer: Understanding 40,000 Neurons</a> Pub date: 2020-12-04 Carsen and I discuss how she uses 2-photon calcium imaging data from over 10,000 neurons to understand the information processing of such large neural population activity. We talk about the tools she makes and uses to analyze the data, and the type of high-dimensional neural activity structure they found, which seems to allow efficient and robust information processing. We also talk about how these findings may help build better deep learning networks, and Carsen's thoughts on how to improve the diversity, inclusivity, and equality in neuroscience research labs. Guest question from <a href="https://braininspired.co/podcast/89" rel="noreferrer noopener nofollow" target="_blank">Matt Smith</a>. <ul><li><a href="https://www.janelia.org/lab/stringer-lab" rel="noreferrer noopener nofollow" target="_blank">Stringer Lab</a>.</li><li>Twitter: <a href="https://twitter.com/computingnature?lang=en" rel="noreferrer noopener nofollow" target="_blank">@computingnature</a>.</li><li>The papers we discuss or mention:<ul><li><a href="https://www.biorxiv.org/content/10.1101/374090v2" rel="noreferrer noopener nofollow" target="_blank">High-dimensional geometry of population responses in visual cortex</a></li><li><a href="https://www.biorxiv.org/content/10.1101/306019v2" rel="noreferrer noopener nofollow" target="_blank">Spontaneous behaviors drive multidimensional, brain-wide population activity.</a></li></ul></li></ul> Timestamps: 0:00 - Intro 5:51 - Recording &gt; 10k neurons 8:51 - 2-photon calcium imaging 14:56 - Balancing scientific questions and tools 21:16 - Unsupervised learning tools and rastermap 26:14 - Manifolds 32:13 - Matt Smith question 37:06 - Dimensionality of neural activity 58:51 - Future plans 1:00:30- What can AI learn from this? 1:13:26 - Diversity, inclusivity, equalityThe podcast and artwork embedded on this page are from Paul Middlebrooks, which is the property of its owner and not affiliated with or endorsed by Listen Notes, Inc.

BI 091 Carsen Stringer: Understanding 40,000 Neurons

Carsen and I discuss how she uses 2-photon calcium imaging data from over 10,000 neurons to understand the information processing of such large neural population activity. We talk about the tools she makes and uses to analyze the data, and the type of high-dimensional neural activity structure they found, which seems to allow efficient and robust information processing. We also talk about how these findings may help build better deep learning networks, and Carsen's thoughts on how to improve the diversity, inclusivity, and equality in neuroscience research labs. Guest question from Matt Smith. Stringer Lab.Twitter: @computingnature.The papers we discuss or mention:High-dimensional geometry of population responses in visual cortexSpontaneous behaviors drive multidimensional, brain-wide population activity. Timestamps: 0:00 - Intro 5:51 - Recording &gt; 10k neurons 8:51 - 2-photon calcium imaging 14:56 - Balancing scientific questions and tools 21:16 - Unsupervised learning tools and rastermap 26:14 - Manifolds 32:13 - Matt Smith question 37:06 - Dimensionality of neural activity 58:51 - Future plans 1:00:30- What can AI learn from this? 1:13:26 - Diversity, inclusivity, equality

Carsen and I discuss how she uses 2-photon calcium imaging data from over 10,000 neurons to understand the information processing of such large neural population activity. We talk about the tools she makes and uses to analyze the data, and the type of high-dimensional neural activity structure they found, which seems to allow efficient and robust information processing. We also talk about how these findings may help build better deep learning networks, and Carsen's thoughts on how to improve the diversity, inclusivity, and equality in neuroscience research labs. Guest question from <a href="https://braininspired.co/podcast/89" rel="noreferrer noopener nofollow" target="_blank">Matt Smith</a>. <ul><li><a href="https://www.janelia.org/lab/stringer-lab" rel="noreferrer noopener nofollow" target="_blank">Stringer Lab</a>.</li><li>Twitter: <a href="https://twitter.com/computingnature?lang=en" rel="noreferrer noopener nofollow" target="_blank">@computingnature</a>.</li><li>The papers we discuss or mention:<ul><li><a href="https://www.biorxiv.org/content/10.1101/374090v2" rel="noreferrer noopener nofollow" target="_blank">High-dimensional geometry of population responses in visual cortex</a></li><li><a href="https://www.biorxiv.org/content/10.1101/306019v2" rel="noreferrer noopener nofollow" target="_blank">Spontaneous behaviors drive multidimensional, brain-wide population activity.</a></li></ul></li></ul> Timestamps: 0:00 - Intro 5:51 - Recording &gt; 10k neurons 8:51 - 2-photon calcium imaging 14:56 - Balancing scientific questions and tools 21:16 - Unsupervised learning tools and rastermap 26:14 - Manifolds 32:13 - Matt Smith question 37:06 - Dimensionality of neural activity 58:51 - Future plans 1:00:30- What can AI learn from this? 1:13:26 - Diversity, inclusivity, equality