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Grace W. Lindsay

Computational Neuroscientist

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2025: Agency gained and lost

If you’ve had even a passing glance at tech journalism over the past few months, you know the top buzzword for AI in 2025 is agentic. Agentic AI (according to many think pieces and press releases at least) is going to revolutionize industry. It’s going to streamline complex pipelines and maximize efficiency. It will make [ ]

So you’re an academic who wants to help with the climate crisis?

With the hottest days in recorded history, oceans reaching 100°F, droughts, and wildfire air turning the sky orange, it takes little more than walking out your door to be reminded of the ongoing climate crisis we are experiencing. As an academic, you may understand why this is happening. You may also be frightened, angered, or [ ]

An Introduction to the Lindsay Lab: What we are researching and why

Hello all! I have recently started a new position as an Assistant Professor of Psychology and Data Science at New York University. You can find my lab website here: lindsay-lab.github.io As you ll notice on that site, I have three main intended areas of research: modeling the connection between attention and learning, validating the tools of [ ]

Models of the Mind: How Physics, Engineering and Mathematics Have Shaped Our Understanding of the Brain

I wrote a book! As some of you may know, in summer of 2018 I signed a contract with Bloomsbury Sigma to write a book about my area of research: computational neuroscience. Though the term has many definitions, computational neuroscience is mainly about applying mathematics to the study of the brain. The brain a jumble of [ ]

Deep Convolutional Neural Networks as Models of the Visual System: Q&A

EDIT: An updated and expanded form of this blogpost has been published as a review article in the Journal of Cognitive Neuroscience. If you would like to credit this post, please cite that article. The citation is: Lindsay, Grace W. Convolutional Neural Networks as a Model of the Visual System: Past, Present, and Future. Journal [ ]

Does AI work like the brain? And how can we know?

A piece I wrote has just been published in the online magazine Aeon. It tries to tackle the question of whether AI currently powered by artificial neural networks actually works like the brain. And perhaps more importantly (because no one article could definitively answer such a big question), it lays out some ideas on how we could [ ]

Consciousness Revisited

A recent twitterstorm involving claims about the ascendance of theories of panpsychism and the damage that poor philosophizing can do to the study of consciousness has gotten me thinking about consciousness as a scientific study again. I (some 5 and a half years ago) wrote about the sorry treatment consciousness gets from mainstream neuroscientists. At [ ]

Modeling the Impact of Internal State on Sensory Processing: An Introduction

Current wisdom says that with the exception of those that go on to great scientific fame a PhD student s thesis will be read by at most the 5 or so professors on their dissertation committee. Because most of the content in a thesis is already or soon-to-be published as separate papers this is not much of a [ ]

Is Math Invented or Discovered?: An Argument for Invention

Steven Strogatz, the popular applied mathematician and educator, recently tweeted a link to a paper on the question of whether mathematics is something that was invented or discovered: Is mathematics discovered or invented? That is THE QUESTION. Smart thoughts on it from a leading mathematician: https://t.co/QX2vjWYb1c — Steven Strogatz (@stevenstrogatz) July 2, 2017 The [ ]

Unsupervised Thinking: A new podcast on neuroscience and Artificial Intelligence!

Hey All, Long time no blog! And, yes, as with most grad school bloggers that was initially out of too much work, distraction, and a touch of laziness. But more recently, it s because I ve started a new project: podcasting! It s called Unsupervised Thinking (a play off unsupervised learning in machine learning) and it s a podcast [ ]