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25 Jun 2024: td style="text-align: right;" width="58"1.4%/td td style="text-align: right;" width="67"£1,421/td /tr tr td width="208"Society for Neuroscience/td td

28 Jun 2024: This meeting, to be held over Sept 11th-12th, will showcase cutting-edge real-world neuroscience from pioneering scientists.

25 Jun 2024: Uncategorized Archives - Unlocking Research https://unlockingresearch-blog.lib.cam.ac.uk/?cat=1 Open Research at Cambridge Tue, 25 Jun 2024 14:02:09 0000 en-GB hourly 1 https://wordpress.org/?v=6.5.5 210359508 Data Diversity Podcast #2 – Dr

1 Jul 2024: of scientific expertise that represent key areas of research excellence across the School: Molecules and Cells; Reproduction, Development and Lifelong Health; Infection and Immunity; Functional and Evolutionary Genomics; Neuroscience, Psychology and

25 Jun 2024: Cambridge University Press, 2003. [3] D. Knill and A. Pouget. The Bayesian brain: the role of uncertainty in neural coding and computation.Trends in Neurosciences, 27:712–719, 2004. ... Máté Lengyel1. m.lengyel@eng.cam.ac.uk. 1Computational &

25 Jun 2024: Prof. Eglen is a Fellow of Magdalene College and Professor of Computational Neuroscience in the Department of Applied Mathematics and Theoretical Physics at the University of Cambridge. ... emProf. Eglen is a Fellow of Magdalene College and Professor of

25 Jun 2024: Who knows, maybe next time I’ll be up there sharing my successes!/p h3We need to speak to the non-converted/h3 pemDr Stephen Eglen, Reader in Computational Neuroscience, Department ... the opportunity to speak about our code review pilot in Neuroscience

25 Jun 2024: N.W. Schultheiss et al. (eds.), Phase Response Curves in Neuroscience: Theory,Experiment, and Analysis, Springer Series in Computational Neuroscience 6,DOI 10.1007/978-1-4614-0739-3 3, Springer ... Hippocampus, 15(7):950–62. Izhikevich, E. (2007).

25 Jun 2024: td style="text-align: right;" width="58"1.4%/td td style="text-align: right;" width="67"£1,421/td /tr tr td width="208"Society for Neuroscience/td td

18 Jun 2024: Goal: Learning from data 𝑥(𝑚), 𝑦(𝑚) = 𝐹(𝑥(𝑚))𝑚=1. 𝑀. Applications: chemistry, climatology, control, electronics, epidemiology, finance, fluids, molecular dynamics, neuroscience, plasmas, robotics, video processing, etc.