Neurons in the primate lateral prefrontal cortex (LPFC) encode working memory (WM) representations via sustained firing, a phenomenon hypothesized to arise from recurrent dynamics within ensembles of interconnected neurons. Here, we tested this hypothesis by using microelectrode arrays to examine spike count correlations (r sc ) in LPFC neuronal ensembles during a spatial WM task. We found a pattern of pairwise r sc during WM maintenance indicative of stronger coupling between similarly tuned neurons and increased inhibition between dissimilarly tuned neurons. We then used a linear decoder to quantify the effects of the high-dimensional r sc structure on information coding in the neuronal ensembles. We found that the r sc structure could facilitate or impair coding, depending on the size of the ensemble and tuning properties of its constituent neurons. A simple optimization procedure demonstrated that near-maximum decoding performance could be achieved using a relatively small number of neurons. These WMoptimized subensembles were more signal correlation (r signal )-diverse and anatomically dispersed than predicted by the statistics of the full recorded population of neurons, and they often contained neurons that were poorly WM-selective, yet enhanced coding fidelity by shaping the ensemble's r sc structure. We observed a pattern of r sc between LPFC neurons indicative of recurrent dynamics as a mechanism for WM-related activity and that the r sc structure can increase the fidelity of WM representations. Thus, WM coding in LPFC neuronal ensembles arises from a complex synergy between single neuron coding properties and multidimensional, ensemblelevel phenomena.working memory | prefrontal cortex | noise correlations | macaque | decoding T o interact with a complex, dynamic environment, organisms must be capable of maintaining and manipulating information that is no longer available to their sensory systems. This capability, when applied transiently (i.e., for milliseconds to seconds), is referred to as working memory (WM) (1)-a hallmark of intelligence and a crucial component of goal-directed behavior (2). In 1949, Hebb postulated that sustained neuronal activity in the absence of stimulus input could serve as the neural substrate for WM (3). Fuster and Alexander later discovered neurons in the lateral prefrontal cortex (LPFC) of monkeys that exhibited sustained firing during WM tasks (4). Subsequent neurophysiological studies have corroborated that neuronal activity in the LPFC and other regions can represent WM for visual-mnemonic space (5-7), as well as nonspatial visual features (8-10).Electrophysiological studies of spatial WM have traditionally relied on recording from one neutron or a few neurons simultaneously (10). However, the neuronal computations that underlie sophisticated behaviors such as WM require the coordinated activity of many neurons within and across brain networks (11). We currently lack a clear understanding of how single neuron coding properties scale to neuronal ensembles. Can the proper...