## 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

- I really liked Leslie Pack Kaelbling's talk and how it was delivered. 57 minutes ago
- Kaelbling: logic gives short names for big set; really don't worry about robots for a while; horrible planner can b… twitter.com/i/web/status/9… 58 minutes ago
- Not much from industry at #ccbm18, but a lot from out of New York! 1 hour ago

Advertisements