headshot of Raeed Chowdhury

Raeed Chowdhury

Visiting Lecturer
Visiting Faculty Lecturer
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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

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.Springer Science and Business Media LLC. doi: 10.1038/s41562-023-01804-5.

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.Cold Spring Harbor Laboratory. doi: 10.1101/2023.01.17.524394.

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. NATURE COMMUNICATIONS, 13(1), 5163.Springer Science and Business Media LLC. doi: 10.1038/s41467-022-32646-w.

Gallego-Carracedo, C., Perich, M.G., Chowdhury, R.H., Miller, L.E., Gallego, J.A., & Ostojic, S. (2022). Local field potentials reflect cortical population dynamics in a region-specific and frequency-dependent manner. ELIFE, 11.eLife Sciences Publications, Ltd. 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. NATURE METHODS, 19(12), 1572-+.Springer Science and Business Media LLC. doi: 10.1038/s41592-022-01675-0.

Versteeg, C., Chowdhury, R.H., & Miller, L.E. (2021). Cuneate nucleus: the somatosensory gateway to the brain. Current Opinion in Physiology, 20, 206-215.Elsevier BV. 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 Sciences Publications, Ltd. 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. NATURE NEUROSCIENCE, 23(2), 260-+.Springer Science and Business Media LLC. doi: 10.1038/s41593-019-0555-4.

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. FRONTIERS IN SYSTEMS NEUROSCIENCE, 13, 13.Frontiers Media SA. 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. FRONTIERS IN COMPUTATIONAL NEUROSCIENCE, 12, 56.Frontiers Media SA. doi: 10.3389/fncom.2018.00056.

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. JOURNAL OF NEUROPHYSIOLOGY, 120(4), 1671-1679.American Physiological Society. doi: 10.1152/jn.00475.2018.

Chowdhury, R.H., Tresch, M.C., & Miller, L.E. (2017). Musculoskeletal geometry accounts for apparent extrinsic representation of paw position in dorsal spinocerebellar tract. JOURNAL OF NEUROPHYSIOLOGY, 118(1), 234-242.American Physiological Society. doi: 10.1152/jn.00695.2016.

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. JOURNAL OF NEUROPHYSIOLOGY, 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. COMPUTERIZED MEDICAL IMAGING AND GRAPHICS, 35(2), 144-147.Elsevier BV. 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 RESEARCH AND TECHNOLOGY, 15(3), 283-287.Wiley. doi: 10.1111/j.1600-0846.2009.00354.x.

Benjamin, A.S., Fernandes, H.L., Tomlinson, T., Ramkumar, P., VerSteeg, C., Chowdhury, R., Miller, L., & Kording, K.P. Modern machine learning outperforms GLMs at predicting spikes. Cold Spring Harbor Laboratory. doi: 10.1101/111450.

Chowdhury, R.H., Glaser, J.I., & Miller, L.E. Area 2 of primary somatosensory cortex encodes kinematics of the whole arm. Cold Spring Harbor Laboratory. doi: 10.1101/643205.

Feulner, B., Perich, M.G., Chowdhury, R.H., Miller, L.E., Gallego, J.Á., & Clopath, C. Small, correlated changes in synaptic connectivity may facilitate rapid motor learning. Cold Spring Harbor Laboratory. doi: 10.1101/2021.10.01.462728.

Gallego, J.A., Perich, M.G., Chowdhury, R.H., Solla, S.A., & Miller, L.E. A stable, long-term cortical signature underlying consistent behavior. Cold Spring Harbor Laboratory. doi: 10.1101/447441.

Gallego-Carracedo, C., Perich, M.G., Chowdhury, R.H., Miller, L.E., & Gallego, J.A. Local field potentials reflect cortical population dynamics in a region-specific and frequency-dependent manner. Cold Spring Harbor Laboratory. doi: 10.1101/2021.05.31.446454.

Glaser, J.I., Benjamin, A.S., Chowdhury, R.H., Perich, M.G., Miller, L.E., & Kording, K.P. Machine learning for neural decoding.

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. A large-scale neural network training framework for generalized estimation of single-trial population dynamics. Cold Spring Harbor Laboratory. doi: 10.1101/2021.01.13.426570.