## Pages

- AChemS active learning Bayesian board game CDF Chicago CM test CNS computational neuroscience conference copula correntropy cosyne counting process CuBIC data analysis deep learning divergence DNC Eleksius Eleusis entropy finite point process generalized linear model GLM Hellinger divergence higher-order interaction icassp imaging incompleteness information theory integrate-and-fire neuron iocane job kernel method KS test learning theory liquid liquid state machine Lobster logic machine learning math MATLAB code measure theory neural assembly neural code neuroscience NIPS noise correlation non-parameteric Bayes nonlinear olfactory parameter-free phase response curve point process Poisson process poster precisely timed spike train probabilistic population code renewal process reproducing kernel Hilbert space RKHS sampling hypothesis semi-definite programming sensory prosthesis SfN signal processing STDP STRF submodular SVM synchrony tips and tricks variational inference
## Recent Comments

## Twitter Updates

- By robust I mean graceful degradation of computation against all sorts of noise including cell death, plasticity, t… twitter.com/i/web/status/7… 1 day ago
- @marius10p @cian_neuro what kind of experiments would give that data? 1 day ago
- @MannyDePresso @cian_neuro can you elaborate? I am not familiar with this dual 1 day ago