Krembil Computational Neuroscience
Krembil Computational Neuroscience
Simulation neuroscience is a catalyst for experimental neuroscience, not a replacement.
H. Markram (Neuroscience News and Research, 2020)
Global understanding, when it comes, will likely take the form of highly diverse panels loosely stitched together into a patchwork quilt
Churchland and Abbott (Nature Neuroscience, 2016)
...we should read the words on the page or screen, not the words in our head as we read papers by other scientists and try to make sure that our own papers capture our intent.
E Marder (eLife, 2020)
Neither ignore the details nor be consumed by them... the balance is the challenge in in advancing our understanding.
Skinner and Mulloney (Current Opinion in Neurobiology, 1998)
The future will depend on stronger quantitative understanding in our experimental community and better biology intuition in our theory community.
E Marder (PLoS Biology, 2015)
Mathematics is biology`s next microscope.
JE Cohen (PLoS Biology, 2004)
Latest Happenings
21Jul
Krembil Neuroinformatics Talk of interest by Dr. Blake Richards
The following talk may be of interest to KCNhubbers and the computational neuroscience community. It continues a speaker series at the Krembil Center for Neuroinformatics (KCNI) at CAMH.
1Aug
KCNhub members Drs. Marjan Rafiee and Taufik Valiante and collaborator publish new paper
In this paper, the authors review how auditory stimulation alters brain dynamics, in addition to computational approaches to define the structural features of classical music, to then propose a plausible mechanism for the underlying anti-convulsant effects of listening to Mozart K.448.
4Aug
Krembil Neuroinformatics Talk of interest by Dr. Marta Garrido
The following talk may be of interest to KCNhubbers and the computational neuroscience community. It continues a speaker series at the Krembil Center for Neuroinformatics (KCNI) at CAMH.
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The goal of KCN events is to bring together researchers and trainees at The Krembil and the wider community to discuss challenges in the fields of mathematical and computational neuroscience.
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