PhD, Biomedical engineering, Northwestern University, 2012 - 2019
MS, Biomedical Engineering, Northwestern University, 2012 - 2014
BS, Electrical Engineering, University of Illinois at Urbana Champaign, 2008 - 2011
Ye, J., Rizzoglio, F., Smoulder, A., Mao, H., Ma, X., Marino, P., Chowdhury, R., Moore, D., Blumenthal, G., Hockeimer, W., Kunigk, N.G., Mayo, J.P., Batista, A., Chase, S., Rouse, A., Boninger, M.L., Greenspon, C., Schwartz, A.B., Hatsopoulos, N.G., Miller, L.E., Bouchard, K.E., Collinger, J.L., Wehbe, L., & Gaunt, R. (2025). A Generalist Intracortical Motor Decoder. bioRxiv, 2025.02.02.634313.Cold Spring Harbor Laboratory. doi: 10.1101/2025.02.02.634313.
Chowdhury, R.H. (2024). Reaching into the future. Elife, 13.eLife. doi: 10.7554/eLife.101739.
Dekleva, B.M., Chowdhury, R.H., Batista, A.P., Chase, S.M., Yu, B.M., Boninger, M.L., & Collinger, J.L. (2024). Motor cortex retains and reorients neural dynamics during motor imagery. Nat Hum Behav, 8(4), 729-742.Springer Nature. doi: 10.1038/s41562-023-01804-5.
Sadeghi, M., Sharif Razavian, R., Bazzi, S., Chowdhury, R.H., Batista, A.P., Loughlin, P.J., & Sternad, D. (2024). Inferring control objectives in a virtual balancing task in humans and monkeys. Elife, 12.eLife. doi: 10.7554/eLife.88514.
Dekleva, B.M., Chowdhury, R.H., Batista, A.P., Chase, S.M., Yu, B.M., Boninger, M.L., & Collinger, J.L. (2023). Motor cortex retains and reorients neural dynamics during motor imagery. bioRxiv, 2023.01.17.524394.Cold Spring Harbor Laboratory. doi: 10.1101/2023.01.17.524394.
Sadeghi, M., Razavian, R.S., Bazzi, S., Chowdhury, R., Batista, A., Loughlin, P., & Sternad, D. (2023). Inferring control objectives in a virtual balancing task in humans and monkeys. bioRxiv, 2023.05.02.539055.Cold Spring Harbor Laboratory. doi: 10.1101/2023.05.02.539055.
Feulner, B., Perich, M.G., Chowdhury, R.H., Miller, L.E., Gallego, J.A., & Clopath, C. (2022). Small, correlated changes in synaptic connectivity may facilitate rapid motor learning. Nat Commun, 13(1), 5163.Springer Nature. doi: 10.1038/s41467-022-32646-w.
Gallego-Carracedo, C., Perich, M.G., Chowdhury, R.H., Miller, L.E., & Gallego, J.Á. (2022). Local field potentials reflect cortical population dynamics in a region-specific and frequency-dependent manner. Elife, 11.eLife. doi: 10.7554/eLife.73155.
Keshtkaran, M.R., Sedler, A.R., Chowdhury, R.H., Tandon, R., Basrai, D., Nguyen, S.L., Sohn, H., Jazayeri, M., Miller, L.E., & Pandarinath, C. (2022). A large-scale neural network training framework for generalized estimation of single-trial population dynamics. Nat Methods, 19(12), 1572-1577.Springer Nature. doi: 10.1038/s41592-022-01675-0.
Feulner, B., Perich, M.G., Chowdhury, R.H., Miller, L.E., Gallego, J.Á., & Clopath, C. (2021). Small, correlated changes in synaptic connectivity may facilitate rapid motor learning. 2021.10.01.462728.Cold Spring Harbor Laboratory. doi: 10.1101/2021.10.01.462728.
Gallego-Carracedo, C., Perich, M.G., Chowdhury, R.H., Miller, L.E., & Gallego, J.A. (2021). Local field potentials reflect cortical population dynamics in a region-specific and frequency-dependent manner. 2021.05.31.446454.Cold Spring Harbor Laboratory. doi: 10.1101/2021.05.31.446454.
Keshtkaran, M.R., Sedler, A.R., Chowdhury, R.H., Tandon, R., Basrai, D., Nguyen, S.L., Sohn, H., Jazayeri, M., Miller, L.E., & Pandarinath, C. (2021). A large-scale neural network training framework for generalized estimation of single-trial population dynamics. 2021.01.13.426570.Cold Spring Harbor Laboratory. doi: 10.1101/2021.01.13.426570.
Versteeg, C., Chowdhury, R.H., & Miller, L.E. (2021). Cuneate nucleus: The somatosensory gateway to the brain. Curr Opin Physiol, 20, 206-215.Elsevier. doi: 10.1016/j.cophys.2021.02.004.
Chowdhury, R.H., Glaser, J.I., & Miller, L.E. (2020). Area 2 of primary somatosensory cortex encodes kinematics of the whole arm. Elife, 9.eLife. doi: 10.7554/eLife.48198.
Gallego, J.A., Perich, M.G., Chowdhury, R.H., Solla, S.A., & Miller, L.E. (2020). Long-term stability of cortical population dynamics underlying consistent behavior. Nat Neurosci, 23(2), 260-270.Springer Nature. doi: 10.1038/s41593-019-0555-4.
Chowdhury, R.H., Glaser, J.I., & Miller, L.E. (2019). Area 2 of primary somatosensory cortex encodes kinematics of the whole arm. 643205.Cold Spring Harbor Laboratory. doi: 10.1101/643205.
Lucas, A., Tomlinson, T., Rohani, N., Chowdhury, R., Solla, S.A., Katsaggelos, A.K., & Miller, L.E. (2019). Neural Networks for Modeling Neural Spiking in S1 Cortex. Front Syst Neurosci, 13, 13.Frontiers. doi: 10.3389/fnsys.2019.00013.
Benjamin, A.S., Fernandes, H.L., Tomlinson, T., Ramkumar, P., VerSteeg, C., Chowdhury, R.H., Miller, L.E., & Kording, K.P. (2018). Modern Machine Learning as a Benchmark for Fitting Neural Responses. Front Comput Neurosci, 12, 56.Frontiers. doi: 10.3389/fncom.2018.00056.
Gallego, J.A., Perich, M.G., Chowdhury, R.H., Solla, S.A., & Miller, L.E. (2018). A stable, long-term cortical signature underlying consistent behavior. 447441.Cold Spring Harbor Laboratory. doi: 10.1101/447441.
Mazurek, K.A., Berger, M., Bollu, T., Chowdhury, R.H., Elangovan, N., Kuling, I.A., & Sohn, M.H. (2018). Highlights from the 28th Annual Meeting of the Society for the Neural Control of Movement. J Neurophysiol, 120(4), 1671-1679.American Physiological Society. doi: 10.1152/jn.00475.2018.
Benjamin, A.S., Fernandes, H.L., Tomlinson, T., Ramkumar, P., VerSteeg, C., Chowdhury, R., Miller, L., & Kording, K.P. (2017). Modern machine learning outperforms GLMs at predicting spikes. 111450.Cold Spring Harbor Laboratory. doi: 10.1101/111450.
Chowdhury, R.H., Tresch, M.C., & Miller, L.E. (2017). Musculoskeletal geometry accounts for apparent extrinsic representation of paw position in dorsal spinocerebellar tract. J Neurophysiol, 118(1), 234-242.American Physiological Society. doi: 10.1152/jn.00695.2016.
Glaser, J.I., Benjamin, A.S., Chowdhury, R.H., Perich, M.G., Miller, L.E., & Kording, K.P. (2017). Machine learning for neural decoding.
Suresh, A.K., Winberry, J.E., Versteeg, C., Chowdhury, R., Tomlinson, T., Rosenow, J.M., Miller, L.E., & Bensmaia, S.J. (2017). Methodological considerations for a chronic neural interface with the cuneate nucleus of macaques. J Neurophysiol, 118(6), 3271-3281.American Physiological Society. doi: 10.1152/jn.00436.2017.
Kim, D.H., Lu, N., Ma, R., Kim, Y.S., Kim, R.H., Wang, S., Wu, J., Won, S.M., Tao, H., Islam, A., Yu, K.J., Kim, T.I., Chowdhury, R., Ying, M., Xu, L., Li, M., Chung, H.J., Keum, H., McCormick, M., Liu, P., Zhang, Y.W., Omenetto, F.G., Huang, Y., Coleman, T., & Rogers, J.A. (2011). Epidermal electronics. Science, 333(6044), 838-843.American Association for the Advancement of Science (AAAS). doi: 10.1126/science.1206157.
Stoecker, W.V., Wronkiewiecz, M., Chowdhury, R., Stanley, R.J., Xu, J., Bangert, A., Shrestha, B., Calcara, D.A., Rabinovitz, H.S., Oliviero, M., Ahmed, F., Perry, L.A., & Drugge, R. (2011). Detection of granularity in dermoscopy images of malignant melanoma using color and texture features. Comput Med Imaging Graph, 35(2), 144-147.Elsevier. doi: 10.1016/j.compmedimag.2010.09.005.
Stoecker, W.V., Gupta, K., Shrestha, B., Wronkiewiecz, M., Chowdhury, R., Stanley, R.J., Xu, J., Moss, R.H., Celebi, M.E., Rabinovitz, H.S., Oliviero, M., Malters, J.M., & Kolm, I. (2009). Detection of basal cell carcinoma using color and histogram measures of semitranslucent areas. Skin Res Technol, 15(3), 283-287.Wiley. doi: 10.1111/j.1600-0846.2009.00354.x.