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SeminarRecording availableComputational Neuroscience

Reading Minds & Machines

Michal Irani

Weizmann Institute

Hosted by van Vreeswijk Theoretical Neuroscience Seminar

Recording

Abstract

1.  Can we reconstruct images that a person saw, directly from their fMRI brain recordings?

2. Can we reconstruct the training data that a deep-network trained on, directly from the parameters of the network?

The answer to both of these intriguing questions is “Yes!”

In this talk I will present some of our work in both domains. I will then show how combining the power of Brains and Machines can lead to significant breakthroughs in both areas, and potentially bridge the gap between Minds and Machines. Finally, I will show how combining the power of Multiple Brains (with NO shared data) may lead to new breakthrough discoveries in Brain-Science, and allow mapping of information between different brains.

Topics

fMRI brain recordingsimage reconstructiondeep-network parameterstraining data reconstructionbrain decodingNeural representationsBrains and MachinesMultiple Brains
More topics
information mappingtheoretical neuroscience

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