Last week, I gave a physics colloquium at the Catholic University of America about recent work on using kinetic theory and field theory approaches to analyze finite-size corrections to networks of coupled oscillators. My slides are here although they are converted from Keynote so the movies don’t work. Coupled oscillators arise in contexts as diverse as … Continue reading Kinetic theory of coupled oscillators
I have recently published two papers applying ideas from the kinetic theory of plasmas and nonequilibrium statistical mechanics to coupled oscillators. The first is Hildebrand, Buice and Chow, PRL 98:054101 and the second is Buice and Chow, PRE 76:031118. The main concern of both papers is understanding the dynamics of large but not infinite networks … Continue reading Kinetic Theory of Coupled Oscillators
I never thought this would ever be finished but it’s out. We hedge in the paper but my bet is that MYC is a facilitator of an accelerator essential for gene transcription. Dissecting transcriptional amplification by MYC eLife 2020;9:e52483 doi: 10.7554/eLife.52483 Zuqin Nie, Chunhua Guo, Subhendu K Das, Carson C Chow, Eric Batchelor, S Stoney … Continue reading New paper in eLife
I’m currently at the National Center for Theoretical Sciences, Math Division, on the campus of the National Tsing Hua University, Hsinchu for the 2013 Conference on Mathematical Physiology. The NCTS is perhaps the best run institution I’ve ever visited. They have made my stay extremely comfortable and convenient. Here are the slides for my talk on Correlations, … Continue reading Talk in Taiwan
Michael Buice and I have a new paper in Frontiers in Computational Neuroscience as well as on the arXiv (the arXiv version has fewer typos at this point). This paper partially completes the series of papers Michael and I have written about developing generalized activity equations that include the effects of correlations for spiking neural networks. … Continue reading New paper on neural networks
Michael Buice and I have finally published our paper entitled “Dynamic finite size effects in spiking neural networks” in PLoS Computational Biology (link here). Finishing this paper seemed like a Sisyphean ordeal and it is only the first of a series of papers that we hope to eventually publish. This paper outlines a systematic perturbative formalism to … Continue reading New paper on finite size effects in spiking neural networks
I’m giving a computational neuroscience lunch seminar today at Johns Hopkins. I will be talking about my work with Michael Buice, now at the Allen Institute, on how to go beyond mean field theory in neural networks. Technically, I will present our recent work on computing correlations in a network of coupled neurons systematically with a … Continue reading Talk today at Johns Hopkins
Complexity is often described as a situation where the whole is greater than the sum of its parts. While this description is true on the surface, it actually misses the whole point about complexity. Complexity is really about the whole being much less than the sum of its parts. Let me explain. Consider a television … Continue reading Complexity is the narrowing of possibilities
Last week I gave a talk on obesity at Georgia State University in Atlanta, GA. Tomorrow, I will be giving a talk on the kinetic theory of coupled oscillators at George Mason University in Fairfax, VA. Both of these talks are variations of ones I have given before so instead of uploading my slides, I’ll … Continue reading Two talks
Last Thursday I had to drive from Baltimore to State College, PA for the 16th Congress of the US National Congress on Theoretical and Applied Mechanics to give a talk in one of the sessions. I gave a condensed version of the kinetic theory of coupled oscillators talk I gave in Warwick last month. The … Continue reading The Philosopher’s Zone
I’m currently at the University of Toronto to give two talks in a series that is jointly hosted by the Physics department and the Fields Institute. The Fields Institute is like the Canadian version of the Mathematical Sciences Research Institute in the US and is named in honour of Canadian mathematician J.C. Fields, who started … Continue reading Two talks at University of Toronto
I’m currently at the SIAM Dynamical Systems meeting in Snowbird, Utah. I gave a short version of my talk on calculating finite size effects of the Kuramotor coupled oscillator model using kinetic theory and path integral approaches. Here is the longer and more informative version of the talk. I summarized the papers on this talk … Continue reading Snowbird conference
I was visiting the University of Utah this past week. I gave talks on the Kinetic Theory of Coupled Oscillators and on Deriving Moment Equations for Neural Networks. On my way to the airport I wondered what would be the optimal arrival time so that you spend the least amount of time waiting in the … Continue reading Waiting in airports
A new paper “Systematic fluctuation expansion for neural network activity equations“, by Michael Buice, Jack Cowan and myself has just been uploaded to the q-bio arXiv. The paper arose from a confluence of my desire to adapt moment hierarchy approaches from kinetic theory to studying fluctuations in neural networks and Michael and Jack’s field theory … Continue reading Systematic fluctuation expansion for neural networks
This is the world year of physics to celebrate the 100th anniversay of the Annus Mirabilis when Einstein published five papers that changed the world. The first paper that year was on the photoelectric effect in which he argues that light must be quantized. He won the Nobel Prize in 1921 for this work. The … Continue reading World Year of Physics 2005
My 8th grade daughter had her final (distance learning) science quiz this week on work, or as it is called in her class, the scientific definition of work. I usually have no idea what she does in her science class since she rarely talks to me about school but she so happened to mention this … Continue reading Why middle school science should not exist
I gave a talk at the Center for Scientific Computing and Mathematical Modeling at the University of Maryland today. My slides are here. I apologize for the excessive number of pages but I had to render each build in my slides, otherwise many would be unreadable. A summary of the work and links to other … Continue reading Talk at Maryland
CC Chow, KK Finn, GB Storchan, X Lu, X Sheng, SS Simons Jr., Kinetically-Defined Component Actions in Gene Repression. PLoS Comp Bio. 11:e1004122, (2015) Abstract Gene repression by transcription factors, and glucocorticoid receptors (GR) in particular, is a critical, but poorly understood, physiological response. Among the many unresolved questions is the difference between GR regulated induction … Continue reading New paper on gene repression
Michael Buice and I have just published a review paper of our work on how to go beyond mean field theory for systems of coupled neurons. The paper can be obtained here. Michael and I actually pursued two lines of thought on how to go beyond mean field theory and we show how the two are … Continue reading New paper on neural networks
I have two new papers in the Journal of Biological Chemistry: Z Zhang, Y Sun, YW Cho, CC Chow, SS Simons. PA1 Protein, a New Competitive Decelerator Acting at More than One Step to Impede Glucocorticoid Receptor-mediated Transactivation. J Biol Chem:42-58 (2012). [PDF] JA Blackford, C Guo, R Zhu, EJ Dourgherty, CC Chow and SS … Continue reading Two New Papers
Scientific Clearing House 