Bas van Rossum
Girard, M., Jiang, J., & van Rossum, M. C. Estimating the energy requirements for long term memory formation Brains consume metabolic energy to process information, but also to store memories. The energy required for memory formation can be substantial, for instance in fruit flies memory formation leads to a shorter lifespan upon subsequent starvation (Mery.
Dr Mark van Rossum Edinburgh Behaviour Group
University of Nottingham - Cited by 7,380 - Computational neuroscience
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Mark van Rossum - The GIRA s.r.l. | LinkedIn Mark van Rossum Denham, England, United Kingdom 2K followers 500+ connections Welcome back New to LinkedIn? Join now Join to follow The GIRA s.r.l..
Mark van Rossum Champalimaud Foundation
310. 2007. Fast propagation of firing rates through layered networks of noisy neurons. MCW van Rossum, GG Turrigiano, SB Nelson. Journal of neuroscience 22 (5), 1956-1966. , 2002. 259. 2002. Systematic biases in early ERP and ERF components as a result of high-pass filtering.
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Guido van Rossum Faces of Open Source
I am a professor of Computational Neuroscience at the University of Nottingham and the Director of its Centre for Neural Computation. I have an MSc in Theoretical Physics from Utrecht Univerity and a PhD in Statistical Physics from University of Amsterdam. I have held research positions at the University of Pennsylvania and Brandeis University.
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Mark CW van Rossum The brain is not only constrained by energy needed to fuel computation, but it is also constrained by energy needed to form memories. Experiments have shown that learning simple conditioning tasks already carries a significant metabolic cost.
MARK Van Rossum
Brunel N, Van Rossum MCW. Quantitative investigations of electrical nerve excitation treated as polarization . Biological Cybernetics . 2007 Dec;97(5):341-349. doi: 10.1007/s00422-007-0189-6
Mark VAN ROSSUM PhD University of Nottingham, Nottingham Notts School of Psychology
The Journal of Neuroscience 2023-05-24 | Journal article DOI: 10.1523/JNEUROSCI.1966-21.2022 Contributors : Sofia Isabel Ribeiro Pereira; Lorena Santamaria; Ralph Andrews; Elena Schmidt; Mark C.W. Van Rossum; Penelope Lewis Show more detail Source : check_circle Crossref Competitive plasticity to reduce the energetic costs of learning
Mark van Rossum, Univ. Edinburgh & KITP 37
Dr Mark van Rossum My research area is computational neuroscience. [scald=928:uoe_html_atom_full {"caption":""}] [scald=1016:sdl_editor_representation {"alt":"Mark van Rossum","caption":""}] Research I use computational and mathematical techniques to understand the working of the brain.
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Andrea Greve,1,2* David I. Donaldson,3 and Mark C.W. van Rossum2 ABSTRACT: Dual-process theories of episodic memory state that retrieval is contingent on two independent processes: familiarity.
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Mark C W van Rossum The influence of one extra static scatterer on multiple scattered classical waves is considered. It is shown how to connect two ``diffusions'' or ``ladders''.
Mark van Rossum Medisch Hulpverlener Spoedeisende Hulp HMC (Haaglanden Medisch Centrum
Name: Mark van Rossum Position: Reader in Bioinformatics Institute: School of Bioinformatics Research Interests and Approaches: Computational Neuroscience. Particular interests - learning and memory (biophysics up to systems level) - sensory coding and decoding - (Bayesian) data analysis Websites: homepages.inf.ed.ac.uk
Guido van Rossum Faces of Open Source
Mark van Rossum, programme director. Mark directed the UK's first Doctoral Training Centre, has written over 70 papers, and has supervised over 20 PhD students. Related courses. Machine Learning in Science MSc. Learn how to apply machine learning and AI techniques to real scientific problems. Build vital skills to enhance your employability in.
Guido Van Rossum
Elife. 2020 Feb 13;9:e50804.doi: 10.7554/eLife.50804. Authors Ho Ling Li 1 , Mark Cw van Rossum 1 2 Affiliations 1School of Psychology, University of Nottingham, Nottingham, United Kingdom. 2School of Mathematical Sciences, University of Nottingham, Nottingham, United Kingdom.
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Arnd Roth and Mark C. W. van Rossum Modeling synaptic transmission between neurons is a challenging task. Since many physiological processes contribute to synaptic transmission (figure 6.1), computa-
