I'm a PhD student in the Center for Theoretical Neuroscience at Columbia University, advised by Ashok Litwin-Kumar. I am broadly interested in how learning enables complex behavior in biological and artificial neural networks.

My research currently focuses on three main areas: (1) models of memory consolidation and skill transfer between neural circuits, (2) biologically inspired models of reinforcement learning, with applications to the dopaminergic system, (3) geometric tools for describing neural population activity.

I graduated from Stanford in 2019 with an undergraduate major in math and a master's in computer science. I've also spent time in the neuromorphic computing group at Sandia National Labs, and at Cerebras Systems.


J. Lindsey & A. Litwin-Kumar. (2022). Theory of systems memory consolidation via recall-gated plasticity. bioRxiv. Link

J. Lindsey & A. Litwin-Kumar (2022). Action-modulated midbrain dopamine activity arises from distributed control policies. NeurIPS proceedings. Link

K. G. Mizes, J. Lindsey, G. S. Escola, & B. P. Ölveczky (2022). Dissociating the contributions of sensorimotor striatum to automatic and visually-guided motor sequences. bioRxiv. Link

J. Lindsey & J. B. Aimone (2022). Sequence Learning and Consolidation on Loihi using On-chip Plasticity. In Neuro-Inspired Computational Elements Conference (pp. 70-72). Link

Mizes, K. G., Lindsey, J., Escola, G. S., & Ölveczky, B. P. (2022). Similar striatal activity exerts different control over automatic and flexible motor sequences. bioRxiv. Link

G. Chen, B. Kang, J. Lindsey, S. Druckmann,, & N. Li. (2021). Modularity and robustness of frontal cortical networks. Cell, 184(14), 3717-3730. "Modularity and robustness of frontal cortical networks." Cell 184.14: 3717-3730. Link

F. Li, J. Lindsey, E. C. Marin, N. Otto, M. Dreher, G. Dempsey, I. Stark, A. S. Bates, M. W. Pleijzier, P. Schlegel, A. Nern, S. Takemura, N. Eckstein, T. Yang, A. Francis, A. Braun, R. Parekh, M. Costa, L. K. Scheffer, Y. Aso, G. S. X. E. Jefferis, L. F. Abbott, A. Litwin-Kumar, S. Waddell & G. M. Rubin (2020). The connectome of the adult Drosophila mushroom body provides insights into function. eLife 9: e62576. Link

J. Lindsey & A. Litwin-Kumar (2020). Learning to Learn with Feedback and Local Plasticity. NeurIPS proceedings. Link

J. Lindsey, S. Ocko, S. Ganguli, & S. Deny (2019). A Unified Theory of Early Visual Representations from Retina to Cortex through Anatomically Constrained Deep CNNs. ICLR proceedings (oral presentation). Link

S. Ocko, J. Lindsey, S. Ganguli, & S. Deny (2018). The Emergence of Multiple Retinal Cell types through Efficient Coding of Natural Movies. NeurIPS proceedings. Link

M. Jain & J. Lindsey (2018). A Neural Network Model of Complementary Learning Systems. CogSci 2018 proceedings (oral presentation). Link

M. Jain & J. Lindsey (2018). Semiparametric Reinforcement Learning. ICLR, Workshop Track. Link

J. Lindsey (2017). Pre-Training Attention Mechanisms. NeurIPS 2017 Workshop on Cognitively Informed Artificial Intelligence. Link

Fun Projects from Long Ago