Nicolas Oros

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In this manuscript, we survey the new and exciting approach of Smartphone based robotics for research and education. The increases in the computational power and sensing of smartphones, plus the recent availability of interface boards, have made this trend popular across a wide range of enthusiasts. As an example, we show how we built an Android based(More)
Neuromodulators such as dopamine (DA), serotonin (5-HT), and acetylcholine (ACh) are crucial to the representations of reward, cost, and attention respectively. Recent experiments suggest that the reward and cost of actions are also partially represented in orbitofrontal and anterior cingulate cortices in that order. Previous models of action selection with(More)
We created a neural architecture that can use two different types of information encoding strategies depending on the environment. The goal of this research was to create a simulated agent that could react to two different overlapping chemicals having varying concentrations. The neural network controls the agent by encoding its sensory information as(More)
We present in this paper three novel developmental models allowing information to be encoded in space and time, using spiking neurons placed on a 2D substrate. In two of these models, we introduce neural development that can use bilateral symmetry. We show that these models can create neural controllers for agents evolved to perform chemotaxis. Neural(More)
We created a simple evolutionary system, sexyloop, on a deterministic ten-state five-neighbour cellular automaton (CA) where self-reproducing loops have the capability of sex. With this ability, the loops are capable of transferring genetic material into other loops. This work was based on Sayama’s evoloop which was transformed by adding a new state and new(More)
N. OROS1, J. L. KRICHMAR1,2 1Department of Cognitive Sciences, University of California, Irvine, Irvine, CA 2 Department of Computer Science, University of California, Irvine, Irvine, CA The ability to fluidly divert attentional resources toward relevant information is critical for successful behavior in animals and may be applicable for the control of(More)
Game theory is commonly used to study social behavior in cooperative or competitive situations. One socioeconomic game, Stag Hunt, involves the trade-off between social and individual benefit by offering the option to hunt a low-payoff hare alone or a high-payoff stag cooperatively. Stag Hunt encourages the creation of social contracts as a result of the(More)
An evolutionary strategy (ES) algorithm was utilized to evolve a simulated neural network based on the known anatomy of the posterior parietal cortex (PPC), to perform a visually guided reaching task. In this task, a target remained visible for the duration of a trial, and an agent's goal was to move its hand to the target as rapidly as possible and remain(More)
We created a simple evolutionary system, Fsexyloop, on a deterministic twelve-state five-neighbour cellular automaton (CA) where self-reproducing loops have the capability of sex. This work was based on the sexyloop which was transformed by adding two new states and new rules. In the F-sexyloop, the loops can carry a sex gene used to facilitate the transfer(More)
We created a spiking neural controller for an agent that could use two different types of information encoding strategies depending on the level of chemical concentration present in the environment. The first goal of this research was to create a simulated agent that could react and stay within a region where there were two different overlapping chemicals(More)