Title: Principles of Learning from Multiple Tasks Abstract:  Deep networks are increasingly trained on data from multiple tasks with the goal of sharing synergistic information across related tasks. A language model,…

Speaker: Christopher A. Baldassano Title: Remembering events using schematic knowledge Abstract: Our everyday experiences consist of familiar sequences of events in familiar contexts, and we use our knowledge of the past to understand…

Title: How the human brain thinks about itself Abstract: The human brain has a remarkable ability to monitor and evaluate its own mental states, known as metacognition. Metacognition is crucial…

Title: Quantifying individuality in neural circuit representations   Abstract: Signatures of neural computation are thought to be reflected in the coordinated activity of large neural populations. Neuroscience is now flush with measurements of these activity patterns in humans,…

LLM Benchmarks Zoom link: https://columbiauniversity.zoom.us/j/97176853843?pwd=VLZdh6yqHBcOQhdf816lkN5ByIpIsF.1

Title: Reimagining the biology of memory   Abstract: Over the last half century, there has been a remarkable convergence on the idea that memories are stored at synapses. I will…

Title: Resource-Efficient Control in Brains and Machines Abstract: The brain can turn noisy stimuli into rational behaviors that address a wide variety of tasks using limited experience, relying on limited…

Zoom link: https://columbiauniversity.zoom.us/j/97176853843?pwd=VLZdh6yqHBcOQhdf816lkN5ByIpIsF.1

This event is for all ARNI trainees and graduate students who work on an ARNI related project. The goal of this symposium is to foster networking and career development. Location:…

Description: Advances in neurotechnology and behavioral tracking have enabled the collection of large-scale neural and behavioral datasets, offering new opportunities to study brain function in complex settings. However, researchers face significant…

May 5th and 6th 8:30am to 5:30pm Pulitzer Hall - 2950 Broadway New York, NY 10027 This two-day workshop brings together leading experts in machine learning (ML) and neuroscience to…