Ann Kennedy

@antihebbiann.bsky.social

Theoretical neuroscientist interested in brain-body interactions and evolution of adaptive behavior. Associate Professor at Scripps Research Institute in San Diego.

New preprint led by @rgast.bsky.social- part 1 of Richard's ongoing effort to make a better firing rate model: developing mean-field models that can be fit to biological data to capture both the dynamics of neural populations and the underlying physiological heterogeneity that sculpt those dynamics.

Richard Gast@rgast.bsky.social · last mo.

The Ott-Antonsen ansatz revolutionized our understanding of coupled oscillator systems with heterogeneous oscillators. We developed a multi-ensemble method that increases the applicability of the OA ansatz to empirical data substantially arxiv.org/abs/2607.09516, as we demonstrate on neural data.

We’re excited to welcome Joan Pulupa to Scripps Research as an assistant professor! Using smell-sensing neurons and advanced microscopy, including MINFLUX, Pulupa’s lab will explore how genome organization shapes brain cells and what it may reveal about neurodegenerative conditions.

Joan Pulupa joins Scripps Research faculty to study the organization of DNA in brain cells and its links to neurodegeneration

Using smell-sensing neurons and advanced microscopy, Pulupa’s lab will explore how genome organization affects brain cells, and what it may reveal about neurodegenerative conditions.

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Freeman Dyson writes about having Hans Bethe as a thesis advisor. Uncovering the nature of the universe is impressive and all, but being the platonic ideal of a mentor on top of that? Good lord

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Using in vivo glucose sensors in behaving mice, we asked: what is the neuronal fuel cost of performing a learned task? Key finding: After learning, the same task required less fuel, suggesting learning may not only improve performance—it may lower the energy cost of computation. 2/3

Our new preprint is out!! The human brain runs on ~20 watts. Computers and modern AI systems require vastly higher energy. This gap raises a fundamental question: how does the brain compute so efficiently? In our new study, we take a critical step toward measuring and understanding this directly 1/3

bioRxiv Neuroscience@biorxiv-neursci.bsky.social · 2mo ago

Learning Shapes the Energy Cost of Neural Tasks https://www.biorxiv.org/content/10.64898/2026.07.01.735889v1

Cajal Behavior summer course presentation day! After 5 days of hard work, we'll see data from student-designed projects on grooming and freezing flies, RL-learning and foraging robots, human VR exploration, and closed-loop loom escape in fish. An amazing group :)

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