Catalin Mitelut | Lo-fi Approaches for Uploading

Presenter Catalin Mitelut, NYU and University of Basel Catalin Mitelut, JD, PhD, is a postdoctoral researcher at NYU and University of Basel working on the neuroscience of agency in biological and artificial systems. Summary: Lo-fi whole brain emulation (WBE) is an intriguing and possibly shorter-term goal for achieving mind uploading than recording all neurons from… Continue reading Catalin Mitelut | Lo-fi Approaches for Uploading

2024 Fellow Viraj Chhajed

2024 Fellow Zan Huang

2024 Fellow Samuel Nellessen

2024 Fellow Bogdan-Ionut Cirstea

2024 Fellow Ariel Zeleznikow-Johnston

2024 Fellow Claire Short

2024 Fellow Andrew Payne

Konrad Kording | Causal Perturbations to Whole Brain Emulate C. Elegans

Presenter Konrad Kording, Kording Lab Konrad Kording is the Nathan Mossell University Penn Integrates Knowledge (PIK) Professor of bioengineering and neuroscience at the University of Pennsylvania and a co-director of the CIFAR Learning in Machines & Brains program. He is interested in understanding the brain as a computational device and how to mine neural data… Continue reading Konrad Kording | Causal Perturbations to Whole Brain Emulate C. Elegans

Bradley Love | Advancing Neuroscience Using Large Language Models

Presenter Bradley Love, UCL Bradley is a Professor of Cognitive and Decision Sciences in Experimental Psychology at UCL and a fellow at The Alan Turing Institute for data science and AI, as well as the European Lab for Learning & Intelligent Systems (ELLIS). His lab’s research centers around human learning and decision making, integrating behavioural,… Continue reading Bradley Love | Advancing Neuroscience Using Large Language Models

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