Publications
A complete list is also available on Google Scholar, and in the CV.
Sun, X., Comrie, A. E., Kahn, A. E., Monroe, E. J., Joshi, A., Guidera, J. A., Denovellis, E. L., Krausz, T. A., Zhou, J., Thompson, P., Hernandez, J., Yorita, A., Haque, R., Berke, J. D., Daw, N. D., Frank, L. M.
2026
Comrie, A. E., Monroe, E. J., Kahn, A. E., Denovellis, E. L., Joshi, A., Guidera, J. A., Krausz, T. A., Berke, J. D., Daw, N. D., Frank, L. M.
2024
Zhang, A., Kahn, A. E., Daw, N. D., Nussenbaum, K., Hartley, C. A.
Cognition 266 106340 · 2026
Nussenbaum, K., Kahn, A. E., Zhang, A., Daw, N. D., Hartley, C. A.
Developmental Science 29 e70227 · 2026
Loman, S., Caciagli, L., Patankar, S. P., Kahn, A. E., Szymula, K. P., Nyema, N., Bassett, D. S.
NeuroImage 325 121617 · 2026
Kahn, A. E., Daw, N. D.
Communications Psychology 3 1–11 · 2025
Participants relied on a mixture of temporally abstract prediction and detailed mental simulation, and adjusted the balance between the two in a manner consistent with the costs each one carried.
Kahn, A. E., Szymula, K., Loman, S., Haggerty, E. B., Nyema, N., Aguirre, G. K., Bassett, D. S.
Nature Communications 16 994 · 2025
When the graph underlying a sequence was modular rather than lattice-like, representations in visual areas reflected that structure more strongly, over timescales of minutes rather than sessions.
Kahn, A. E., Bassett, D. S., Daw, N. D.
PLOS Computational Biology 21 e1013696 · 2025
Much evidence suggests people use a successor representation, but little speaks to how they acquire one. We measure its acquisition trial by trial and compare temporal difference learning against alternative accounts.
Xia, X., Klishin, A. A., Stiso, J., Lynn, C. W., Kahn, A. E., Caciagli, L., Bassett, D. S.
Physical Review E 109 044305 · 2024
Corsi, M.-C., Sorrentino, P., Schwartz, D., George, N., Gollo, L. L., Chevallier, S., Hugueville, L., Kahn, A. E., Dupont, S., Bassett, D. S., Jirsa, V., De Vico Fallani, F.
iScience 27 108734 · 2024
Mahadevan, A. S., Cornblath, E. J., Lydon-Staley, D. M., Zhou, D., Parkes, L., Larsen, B., Adebimpe, A., Kahn, A. E., Gur, R. C., Gur, R. E., Satterthwaite, T. D., Wolf, D. H., Bassett, D. S.
Molecular Psychiatry 1–10 · 2023
Krausz, T. A., Comrie, A. E., Kahn, A. E., Frank, L. M., Daw, N. D., Berke, J. D.
Neuron 111 3465-3478.e7 · 2023
Stiso, J., Lynn, C. W., Kahn, A. E., Rangarajan, V., Szymula, K. P., Archer, R., Revell, A., Stein, J. M., Litt, B., Davis, K. A., Lucas, T. H., Bassett, D. S.
eNeuro 9 ENEURO.0361-21.2022 · 2022
Corsi, M.-C., Chavez, M., Schwartz, D., George, N., Hugueville, L., Kahn, A. E., Dupont, S., Bassett, D. S., Fallani, F. D. V.
Journal of Neural Engineering · 2021
Karrer, T. M., Kim, J. Z., Stiso, J., Kahn, A. E., Pasqualetti, F., Habel, U., Bassett, D. S.
Journal of Neural Engineering 17 026031 · 2020
Lynn, C. W., Kahn, A. E., Nyema, N., Bassett, D. S.
Nature Communications 11 2313 · 2020
Tompson, S. H., Kahn, A. E., Falk, E. B., Vettel, J. M., Bassett, D. S.
NeuroImage 116498 · 2020
Corsi, M.-C., Chavez, M., Schwartz, D., George, N., Hugueville, L., Kahn, A. E., Dupont, S., Bassett, D. S., De Vico Fallani, F.
NeuroImage 116500 · 2020
Lynn, C. W., Papadopoulos, L., Kahn, A. E., Bassett, D. S.
Nature Physics 1–9 · 2020
The information a network conveys to a human observer depends not only on its topology, but on the errors people make in perceiving it.
Khambhati, A. N., Kahn, A. E., Costantini, J., Ezzyat, Y., Solomon, E. A., Gross, R. E., Jobst, B. C., Sheth, S. A., Zaghloul, K. A., Worrell, G., Seger, S., Lega, B. C., Weiss, S., Sperling, M. R., Gorniak, R., Das, S. R., Stein, J. M., Rizzuto, D. S., Kahana, M. J., Lucas, T. H., Davis, K. A., Tracy, J. I., Bassett, D. S.
Network Neuroscience 1–30 · 2019
Karuza, E. A., Kahn, A. E., Bassett, D. S.
Complexity 2019 1–8 · 2019
Tompson, S. H., Kahn, A. E., Falk, E. B., Vettel, J. M., Bassett, D. S.
Journal of Experimental Psychology: Learning, Memory, and Cognition 45 253–271 · 2019
Betzel, R. F., Medaglia, J. D., Kahn, A. E., Soffer, J., Schonhaut, D. R., Bassett, D. S.
Nature Biomedical Engineering 3 902–916 · 2019
Stiso, J., Khambhati, A. N., Menara, T., Kahn, A. E., Stein, J. M., Das, S. R., Gorniak, R., Tracy, J., Litt, B., Davis, K. A., Pasqualetti, F., Lucas, T. H., Bassett, D. S.
Cell Reports 28 2554-2566.e7 · 2019
Sizemore, A. E., Giusti, C., Kahn, A., Vettel, J. M., Betzel, R. F., Bassett, D. S.
Journal of Computational Neuroscience 44 115–145 · 2018
Kahn, A. E., Karuza, E. A., Vettel, J. M., Bassett, D. S.
Nature Human Behaviour 2 936–947 · 2018
Participants learned the same transition statistics more readily when the graph generating them was modular, indicating sensitivity to structure beyond pairwise associations.
Kim, J. Z., Soffer, J. M., Kahn, A. E., Vettel, J. M., Pasqualetti, F., Bassett, D. S.
Nature Physics 14 91–98 · 2018
Tang, E., Giusti, C., Baum, G. L., Gu, S., Pollock, E., Kahn, A. E., Roalf, D. R., Moore, T. M., Ruparel, K., Gur, R. C., Gur, R. E., Satterthwaite, T. D., Bassett, D. S.
Nature Communications 8 1252 · 2017
Baum, G. L., Ciric, R., Roalf, D. R., Betzel, R. F., Moore, T. M., Shinohara, R. T., Kahn, A. E., Vandekar, S. N., Rupert, P. E., Quarmley, M., Cook, P. A., Elliott, M. A., Ruparel, K., Gur, R. E., Gur, R. C., Bassett, D. S., Satterthwaite, T. D.
Current Biology 27 1561-1572.e8 · 2017
Karuza, E. A., Kahn, A. E., Thompson-Schill, S. L., Bassett, D. S.
Scientific Reports 7 12733 · 2017
Kahn, A. E., Mattar, M. G., Vettel, J. M., Wymbs, N. F., Grafton, S. T., Bassett, D. S.
Cerebral Cortex 27 173–184 · 2017
Gu, S., Pasqualetti, F., Cieslak, M., Telesford, Q. K., Yu, A. B., Kahn, A. E., Medaglia, J. D., Vettel, J. M., Miller, M. B., Grafton, S. T., Bassett, D. S.
Nature Communications 6 8414 · 2015
