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Thank you for visiting the website of Braden A. W. Brinkman, Assistant Professor in the Department of Neurobiology and Behavior and a founding member of the Center for Neural Circuit Dynamics at Stony Brook University in New York state.
My group studies how networks of neurons work together to process, transmit, and perform computations on inputs to the brain. My Ph.D. training is in statistical physics, which influences the approaches I take to studying the collective interactions of neurons.
Above, you can use the menu links to learn more about my research, see my CV, publications list, and contact information.
If you have any questions, please feel free to get in touch with me!
Lab news & events
Lab news & events
Jun. 2, 2025 - Just published! "Metastability in networks of stochastic integrate-and-fire neurons," Siddharth Paliwal, Gabriel Koch Ocker, and Braden A. W. Brinkman, Phys. Rev. E 111, 064402 (2025).
Mar. 28, 2025 - Updated preprint! "Renormalization group analysis reveals universality classes of stochastic spiking neuron networks," Braden A. W. Brinkman [arxiv link]
Mar. 27-Apr. 1, 2025 - Jacob Crosser presented his research at the Computational and Systems Neuroscience (Cosyne) conference in Montreal, Canada. Braden Brinkman co-hosted a workshop with Dr. Gabe Ocker, "What biological details matter at mesoscopic scales?" [link]
Mar. 17, 2025 - Jacob Crosser and Siddharth Paliwal present their research at the American Physical Society Global Physics Meeting in the Statistical and Dynamical Physics of the Brain session! [link]
Jun. 11, 2024 - New preprint! "Metastability in networks of nonlinear stochastic integrate-and-fire neurons," Siddharth Paliwal, Gabriel Koch Ocker, and Braden A. W. Brinkman [arxiv link]
Apr. 5, 2024 - Just published! "Statistically inferred neuronal connections in subsampled neural networks strongly correlate with spike train covariance," Tong Liang and Braden A. W. Brinkman, Phys. Rev. E 109, 044404 (2024).
Feb. 7, 2024 - Just published! "Applications of information geometry to spiking neural network behavior," Jacob T. Crosser and Braden A. W. Brinkman Phys. Rev. E 109, 024302 (2024).
July 11, 2023 - New preprint! "Spiking network model of A1 learns temporal filters with frequency preferences," Danielle Roedel and Braden A. W. Brinkman [biorxiv link]
May 15, 2023 - New preprint! "Applications of information geometry to spiking neural network behavior," Jacob T. Crosser and Braden A. W. Brinkman [arxiv link]
May, 2023 - Srividya Pattisapu has joined the lab! Vidya will be jointly advised with Dr. Alfredo Fontanini, and will be working on studying the responses of neurons in sensory cortex to perturbative stimulation to probe network responses.
Feb 6, 2023 - New preprint! "Statistically inferred neuronal connections in subsampled neural networks strongly correlate with spike train covariance," Tong Liang and Braden A. W. Brinkman [biorxiv link]
Jan 24, 2023 - The lab's first graduate student successfully defended his PhD thesis, "Statistical Inference and Mathematical Modeling of Nonlinear Behavior in Stochastic Biological Systems." Congratulations Dr. Tong Liang!
Jan 23, 2023 - New preprint! "Non-perturbative renormalization group analysis of nonlinear spiking networks," Braden A. W. Brinkman. [arxiv link]
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