Brain Inspired
Paul Middlebrooks
Neuroscience and artificial intelligence work better together. Brain inspired is a celebration and exploration of the ideas driving our progress to understand intelligence. I interview experts about their work at the interface of neuroscience, artificial intelligence, cognitive science, philosophy, psychology, and more: the symbiosis of these overlapping fields, how they inform each other, where they differ, what the past brought us, and what the future brings. Topics include computational neuroscience, supervised machine learning, unsupervised learning, reinforcement learning, deep learning, convolutional and recurrent neural networks, decision-making science, AI agents, backpropagation, credit assignment, neuroengineering, neuromorphics, emergence, philosophy of mind, consciousness, general AI, spiking neural networks, data science, and a lot more. The podcast is not produced for a general audience. Instead, it aims to educate, challenge, inspire, and hopefully entertain those interested in learning more about neuroscience and AI.
Categorieën: Wetenschap en geneeskunde
Luister naar de laatste aflevering:
Support the show to get full episodes and join the Discord community. Mazviita Chirimuuta is a philosopher at the University of Edinburgh. Today we discuss topics from her new book, The Brain Abstracted: Simplification in the History and Philosophy of Neuroscience. She largely argues that when we try to understand something complex, like the brain, using models, and math, and analogies, for example - we should keep in mind these are all ways of simplifying and abstracting away details to give us something we actually can understand. And, when we do science, every tool we use and perspective we bring, every way we try to attack a problem, these are all both necessary to do the science and limit the interpretation we can claim from our results. She does all this and more by exploring many topics in neuroscience and philosophy throughout the book, many of which we discuss today. Mazviita's University of Edinburgh page. The Brain Abstracted: Simplification in the History and Philosophy of Neuroscience. Previous Brain Inspired episodes: BI 072 Mazviita Chirimuuta: Understanding, Prediction, and Reality BI 114 Mark Sprevak and Mazviita Chirimuuta: Computation and the Mind 0:00 - Intro 5:28 - Neuroscience to philosophy 13:39 - Big themes of the book 27:44 - Simplifying by mathematics 32:19 - Simplifying by reduction 42:55 - Simplification by analogy 46:33 - Technology precedes science 55:04 - Theory, technology, and understanding 58:04 - Cross-disciplinary progress 58:45 - Complex vs. simple(r) systems 1:08:07 - Is science bound to study stability? 1:13:20 - 4E for philosophy but not neuroscience? 1:28:50 - ANNs as models 1:38:38 - Study of mind
Vorige afleveringen
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204 - BI 186 Mazviita Chirimuuta: The Brain Abstracted Mon, 25 Mar 2024
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203 - BI 185 Eric Yttri: Orchestrating Behavior Wed, 06 Mar 2024
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202 - BI 184 Peter Stratton: Synthesize Neural Principles Tue, 20 Feb 2024
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201 - BI 183 Dan Goodman: Neural Reckoning Tue, 06 Feb 2024
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200 - BI 182: John Krakauer Returns… Again Fri, 19 Jan 2024
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199 - BI 181 Max Bennett: A Brief History of Intelligence Mon, 25 Dec 2023
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198 - BI 180 Panel Discussion: Long-term Memory Encoding and Connectome Decoding Mon, 11 Dec 2023
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197 - BI 179 Laura Gradowski: Include the Fringe with Pluralism Mon, 27 Nov 2023
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196 - BI 178 Eric Shea-Brown: Neural Dynamics and Dimensions Mon, 13 Nov 2023
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195 - BI 177 Special: Bernstein Workshop Panel Mon, 30 Oct 2023
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194 - BI 176 David Poeppel Returns Sat, 14 Oct 2023
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193 - BI 175 Kevin Mitchell: Free Agents Tue, 03 Oct 2023
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192 - BI 174 Alicia Juarrero: Context Changes Everything Wed, 13 Sep 2023
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191 - BI 173 Justin Wood: Origins of Visual Intelligence Wed, 30 Aug 2023
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190 - BI 172 David Glanzman: Memory All The Way Down Mon, 07 Aug 2023
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189 - BI 171 Mike Frank: Early Language and Cognition Sat, 22 Jul 2023
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188 - BI 170 Ali Mohebi: Starting a Research Lab Tue, 11 Jul 2023
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187 - BI 169 Andrea Martin: Neural Dynamics and Language Wed, 28 Jun 2023
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186 - BI 168 Frauke Sandig and Eric Black w Alex Gomez-Marin: AWARE: Glimpses of Consciousness Fri, 02 Jun 2023
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185 - BI 167 Panayiota Poirazi: AI Brains Need Dendrites Sat, 27 May 2023
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184 - BI 166 Nick Enfield: Language vs. Reality Tue, 09 May 2023
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183 - BI 165 Jeffrey Bowers: Psychology Gets No Respect Wed, 12 Apr 2023
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182 - BI 164 Gary Lupyan: How Language Affects Thought Sat, 01 Apr 2023
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181 - BI 163 Ellie Pavlick: The Mind of a Language Model Mon, 20 Mar 2023
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180 - BI 162 Earl K. Miller: Thoughts are an Emergent Property Wed, 08 Mar 2023
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179 - BI 161 Hugo Spiers: Navigation and Spatial Cognition Fri, 24 Feb 2023
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178 - BI 160 Ole Jensen: Rhythms of Cognition Tue, 07 Feb 2023
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177 - BI 159 Chris Summerfield: Natural General Intelligence Thu, 26 Jan 2023
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176 - BI 158 Paul Rosenbloom: Cognitive Architectures Mon, 16 Jan 2023
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175 - BI 157 Sarah Robins: Philosophy of Memory Mon, 02 Jan 2023
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174 - BI 156 Mariam Aly: Memory, Attention, and Perception Fri, 23 Dec 2022
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173 - BI 155 Luiz Pessoa: The Entangled Brain Sat, 10 Dec 2022
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172 - BI 154 Anne Collins: Learning with Working Memory Tue, 29 Nov 2022
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171 - BI 153 Carolyn Dicey-Jennings: Attention and the Self Fri, 18 Nov 2022
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170 - BI 152 Michael L. Anderson: After Phrenology: Neural Reuse Tue, 08 Nov 2022
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169 - BI 151 Steve Byrnes: Brain-like AGI Safety Sun, 30 Oct 2022
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167 - BI 150 Dan Nicholson: Machines, Organisms, Processes Sat, 15 Oct 2022
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166 - BI 149 William B. Miller: Cell Intelligence Wed, 05 Oct 2022
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165 - BI 148 Gaute Einevoll: Brain Simulations Sun, 25 Sep 2022
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164 - BI 147 Noah Hutton: In Silico Tue, 13 Sep 2022
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163 - BI 146 Lauren Ross: Causal and Non-Causal Explanation Wed, 07 Sep 2022
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162 - BI 145 James Woodward: Causation with a Human Face Sun, 28 Aug 2022
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161 - BI 144 Emily M. Bender and Ev Fedorenko: Large Language Models Wed, 17 Aug 2022
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160 - BI 143 Rodolphe Sepulchre: Mixed Feedback Control Fri, 05 Aug 2022
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159 - BI 142 Cameron Buckner: The New DoGMA Tue, 26 Jul 2022
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158 - BI 141 Carina Curto: From Structure to Dynamics Tue, 12 Jul 2022
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157 - BI 140 Jeff Schall: Decisions and Eye Movements Thu, 30 Jun 2022
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156 - BI 139 Marc Howard: Compressed Time and Memory Mon, 20 Jun 2022
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155 - BI 138 Matthew Larkum: The Dendrite Hypothesis Mon, 06 Jun 2022
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154 - BI 137 Brian Butterworth: Can Fish Count? Fri, 27 May 2022