We’ve discussed normative frameworks for sensory coding, inference, and action selection.
We’re now going to connect elements of each of these frameworks within the context of a …

… also applies two variations of CoSyNE to attempt to improve … next goal, this paper will employ
CoSyNE, so that it may make … of CoSyNE, since it not only tests the possibility of CoSyNE …

Wikis allow a large base of contributors easy access to shared content, and freedom in
editing it. One of the side-effects of this freedom was the emergence of parallel and …

… The current research proposes COSYNE, a … COSYNE outperforms the state-of-the-art
approach by 23 times on average across all the generation quality metrics. Moreover, COSYNE …

1 Summary An important task in computational neuroscience is to understand neural
representations of population codes, using either Bayesian approach or dynamical systems …

Minimising both the economical and physiological damages caused by forest fires is a
complex problem. This paper builds upon an existing Reinforcement Learning (RL) based …

CoSyne is a content synchronization system for assisting users and organizations involved
in the maintenance of multilingual wikis. The system allows users to explore the diversity of …

… Publisher COSYNE … Computational and Systems Neuroscience (COSYNE) …

… 4, the CoSyNE algorithm is presented. Section 5 presents our experiments comparing
CoSyNE with … Our CoSyNE method is a direct encoding method that does not evolve topology. …

The oculomotor integrator is a brainstem nucleus that drives eye movements. It transforms
eye velocity movement commands into an eye position signal by integration in the sense of …