BI 179 Laura Gradowski: Include the Fringe with Pluralism

BI 179 Laura Gradowski: Include the Fringe with Pluralism

Brain Inspired
Brain Inspired
BI 179 Laura Gradowski: Include the Fringe with Pluralism
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Laura Gradowski is a philosopher of science at the University of Pittsburgh. Pluralism, or scientific pluralism anyway, is roughly the idea that there is no unified account of any scientific field, that we should be tolerant of and welcome a variety of theoretical and conceptual frameworks, and methods, and goals, when doing science. Pluralism is kind of a buzz word right now in my little neuroscience world, but it’s an old and well-trodden notion… many philosophers have been calling for pluralism for many years. But how pluralistic should we be in our studies and explanations in science? Laura suggests we should be very, very pluralistic, and to make her case, she cites examples in the history of science of theories and theorists that were once considered “fringe” but went on to become mainstream accepted theoretical frameworks. I thought it would be fun to have her on to share her ideas about fringe theories, mainstream theories, pluralism, etc.

BI 178 Eric Shea-Brown: Neural Dynamics and Dimensions

BI 178 Eric Shea-Brown: Neural Dynamics and Dimensions

Brain Inspired
Brain Inspired
BI 178 Eric Shea-Brown: Neural Dynamics and Dimensions
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Eric Shea-Brown is a theoretical neuroscientist and principle investigator of the working group on neural dynamics at the University of Washington. In this episode, we talk a lot about dynamics and dimensionality in neural networks… how to think about them, why they matter, how Eric’s perspectives have changed through his career.

BI 177 Special: Bernstein Workshop Panel

BI 177 Special: Bernstein Workshop Panel

Brain Inspired
Brain Inspired
BI 177 Special: Bernstein Workshop Panel
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I was recently invited to moderate a panel at the Annual Bernstein conference – this one was in Berlin Germany. The panel I moderated was at a satellite workshop at the conference called How can machine learning be used to generate insights and theories in neuroscience? Below are the panelists. I hope you enjoy the discussion!

BI 176 David Poeppel Returns

BI 176 David Poeppel Returns

Brain Inspired
Brain Inspired
BI 176 David Poeppel Returns
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David runs his lab at NYU, where they study auditory cognition, speech perception, language, and music. On the heels of the episode with David Glanzman, we discuss the ongoing mystery regarding how memory works, how to study and think about brains and minds, and the reemergence (perhaps) of the language of thought hypothesis.

BI 175 Kevin Mitchell: Free Agents

BI 175 Kevin Mitchell: Free Agents

Brain Inspired
Brain Inspired
BI 175 Kevin Mitchell: Free Agents
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Kevin Mitchell is professor of genetics at Trinity College Dublin. He’s been on the podcast before, and we talked a little about his previous book, Innate – How the Wiring of Our Brains Shapes Who We Are. He’s back today to discuss his new book Free Agents: How Evolution Gave Us Free Will