Real time strategy (RTS) gamesGenetic algorithmArtificial neural networkDevelopment of real time strategy game AI is a challenging and difficult task because of the real-time constraint and the large search space in finding the best strategy. In this paper, we propose a machine learning approach ...
Overall, RTNet is a promising model of human RTs that exhibits the critical signatures of perceptual decision-making. This is a preview of subscription content, access via your institution Access options Access Nature and 54 other Nature Portfolio journals Get Nature+, our best-value online-...
In pursuit of this, we built a spiking neural model that can perform mental rotation and mental map scanning using strategies informed by the psychology and neuroscience literature. Results: When performing mental map scanning, reaction times (RTs) for our model closely match behavioural studies (...
49、rts. Learning can be perceived as an optimisation process. Biological neural learning happens by the modification of the synaptic strength. Artificial neural networks learn in the same way. The synapse strength modification rules for artificial neural networks can be derived by applying mathematical...
As expected, difficult choices lead to longer RTs (β = −2.782, p < 0.0001, clustered regression by subjects). Trial-specific MMI is negatively correlated with our Choice Simplicity index (β = −0.0302, p < 0.0001), meaning, the more difficult is the choice problem,...
A neural network model of stroop interference and facilitation effects in schizophrenia - Cohen, Usher - 1996 () Citation Context ...anced word processing. In fact, simulations using this model have been able to account for the pattern of RTs and errors shown by patients with schizophrenia in...
This algorithm is compared to an RTS/CTS based distributed algorithm. Preliminary simulated results indicate that our heuristic algorithm outperforms the RTS/CTS based distributed algorithm (up to 30%) and exhibits stable behavior. 展开 关键词: Sensor network Hybrid network Scheduling All-to-one ...
K. Liu et al., 2002) and longer RTs to targets (Fleck et al., 2001). Likewise, reduced perceptual sensitivity on the DS-CPT distinguished individuals with a psychotic disorder from those with major depressive disorder (Nelson et al., 1998). Thus, reduced perceptual sensitivity on the DS-...
(Fig.1d), which allowed the incorporation of RTs into a rescoring workflow (Fig.1e). The Siamese part of the network (embedding layer and recurrent layer) shares the same weights for both peptides. Practically, the sharing of weights leads to consistent predictions, independent of the peptide...
[34,47,48]. UWS patients differed from all upper consciousness levels for what concerns delta power. Such results are in line with Fingelkurts et al. [49] who found, via probability-classification analysis, that the likelihood of delta oscillations occurrence was higher in the UWS patients ...