Many species show avoidance reactions in response to looming object approaches.

Many species show avoidance reactions in response to looming object approaches.

If you need to get your teammate out of a hairy situation by raining down a deluge of bullets on enemies, then this is the class for you. I went full recoil control on the MG-42, and because of that it handles extremely well, yet is quite slow. The range and damage it does is ridiculous, however, which makes it a powerful primary option. Pair that with an SMG and the Vital perk and opposing players will be questioning if "Warzone's" Ricochet anti-cheat software is working. You're not going to be chasing down anyone with this weighty loadout, and the stims can give you a health and speed boost if you get caught in a late rotation or lagging behind the gas.

Working memory is a cognitive function involving the storage and manipulation of latent information over brief intervals of time, thus making it crucial for context-dependent computation. Here, we use a top-down modeling approach to examine network-level mechanisms of working memory, an enigmatic issue and central topic of study in neuroscience and machine intelligence. We train thousands of recurrent neural networks on a working memory task and then perform dynamical systems analysis on the ensuing optimized networks, wherein we find that four distinct dynamical mechanisms can emerge. In particular, we show the prevalence of a mechanism in which memories are encoded along slow stable manifolds in the network state space, leading to a phasic neuronal activation profile during memory periods. In contrast to mechanisms in which memories are directly encoded at stable attractors, these networks naturally forget stimuli over time. Despite this seeming functional disadvantage, they are more efficient in terms of how they leverage their attractor landscape and paradoxically, are considerably more robust to noise. Our results provide new dynamical hypotheses regarding how working memory function is encoded in both natural and artificial neural networks.