research
Publications
The time is ripe to reverse engineer an entire nervous system: Simulating behavior from neural interactions
Haspel, G., Baker, B., Beets, I., Boyden, E. S., Brown, J., Church, G., Cohen, N., Colon-Ramos, D., Dyer, E., Fang-Yen, C., Flavell, S., Goodman, M. B., Hart, A. C., Izquierdo, E. J., Kagias, K., Lockery, S., Lu, Y., Marblestone, A., Matelsky, J., Mensh, B., Pereira, T. D., Pfister, H., Rajan, K., Rotstein, H. G., Scholz, M., Shaevitz, J. W., Shlizerman, E., Simeon, Q., Skuhersky, M. A., Tiruvadi, V., Venkatachalam, V., Wei, D., Wester, B., Yang, G. R., Yemini, E., Zimmer, M., & Kording, K. P.
Representations of the intrinsic value of information in mouse orbitofrontal cortex
Bussell, J. J., Badman, R. P., Márton, C. D., Bromberg-Martin, E. S., Abbott, L. F., Rajan, K., & Axel, R.
Measuring and Controlling Solution Degeneracy across Task-Trained Recurrent Neural Networks
Huang, A., Singh, S. H., & Rajan, K.
Offline ensemble co-reactivation links memories across days
Zaki, Y., Pennington, Z. T., Morales-Rodriguez, D., Bacon, M. E., Ko, B., Francisco, T. R., LaBanca, A. R., Sompolpong, P., Dong, Z., Lamsifer, S., Chen, H. T., Carrillo Segura, S., Christenson Wick, Z., Silva, A. J., Rajan, K., van der Meer, M., Fenton, A., Shuman, T., & Cai, D. J.
Reflections on simplicity and complexity in computational neuroscience
Rajan, K., Treves, A. & Gaudenzi, R.
Behavioral fingerprinting of the naked mole-rat uncovers signatures of eusociality and social touch
Schwark, R., Ogundare, S., Weinreb, C., Sheng, P., Foster, W., Toussaint, A., Chang, P., Tsai, Y., Comfere, M., Arnold, A., Guadagnino, A., McCloskey, D., Schaffer, E., Rajan, K., Datta, S., Abdus-Saboor, I.
Inferring brain-wide interactions using data-constrained recurrent neural network models
Perich, M.G., Arlt, C., Soares, S., Zhou, S., Beiran, M., Andalman A.S., Benster, T., Young, M.E., Mosher, C.P., Minxha, J., Carter, E., Rutishauser, U., Rudebeck, P.H., Harvey, C.D., Deisseroth, K., Rajan, K.
Temporally-specific sequences of neural activity across interconnected corticolimbic structures during reward anticipation
Young M.E., Spencer-Salmon C., Mosher C., Tamang S., Rajan K., Rudebeck P.H.
Representations of information value in mouse orbitofrontal cortex during information seeking
Bussell J.J., Badman R.P., Márton C.D., Bromberg-Martin E.S, Abbott L.F., Rajan K., Axel R.
Amplified cortical neural responses as animals learn to use novel activity patterns
Akitake, B., Douglas, H. M., LaFosse, P. K., Deng, Y., Rajan, K., Histed, M. H.
Aversive experience drives offline ensemble reactivation to link memories across days
Zaki, Y., Pennington, Z.T., Morales-Rodriguez, D., Francisco, T.R., La Banca, A.R., Dong, Z., Carrillo Segura, S., Silva, A.J., Shuman, T., Fenton, A., Rajan, K., & Cai, D.J.
Minian: An open-source miniscope analysis pipeline
Dong Z., Mau W., Feng Y., Pennington Z.T., Chen L., Zaki Y., Rajan K., Shuman T., Aharoni D., Cai D.J.
The Learning Salon: Toward a new participatory science
Momennejad, I., Krakauer, J.W., Sun, C., Yezerets, E., Rajan, K., Vogelstein, J.T., Wyble, B.
Machine learning with feature domains elucidates candidate drivers of hospital readmission following spine surgery in a large single-center patient cohort
Martini, M.L., Neifert, S.N., Oermann, E.K., Gal, J., Rajan, K., Nistal, D.A., Caridi, J.M.
Neuronal dynamics regulating brain and behavioral state transitions
Andalman, A.S., Burns, V.M., Lovett-Barron, M., Broxton, M. Poole, B. Yang, S.J., Grosenick, L., Lerner, T.N., Chen, R., Benster, T., Mourrain, P., Levoy, M., Rajan, K., Deisseroth, K.
Task-dependent changes in the large-scale dynamics and necessity of cortical regions
Pinto, L., Rajan, K., DePasquale, B., Thiberge, S.Y., Tank, D.W., Brody, C.D.
Spike-timing-dependent ensemble encoding by non-classically responsive cortical neurons
Insanally, M.N., Carcea, I., Field, R.E., Rodgers, C.C., DiPasquale, B., Rajan, K., DeWeese, M.R., Albanna, B.F., Froemke, R.C.
Full-FORCE: A least-squares algorithm for training recurrently connected neural networks
DiPasquale, B., Cueva, C., Rajan, K., Escola, G.S., Abbott, L.F.
Recurrent network models of sequence generation and memory
Rajan, K., Harvey, C.D., Tank, D.W.
Maximally informative “stimulus energies” in the analysis of neural responses to natural signals
Rajan, K., Bialek, W.