
Neda ShahidiUniversity of Göttingen | GAUG
Neda Shahidi
Doctor of Philosophy
About
19
Publications
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Introduction
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June 2023 - present
Publications
Publications (19)
Among non-human primates, macaques are recognized for thriving in a wide range of novel environments. Previous studies show macaque’s affinity for new information. However, little is known about how information-seeking manifests in their spatial navigation pattern in ambiguous foraging terrains, where the location and distribution of the food are u...
We are pleased to announce that the presentations and posters of the Annual Computational Neuroscience Meeting (CNS*2023) have become available. Discover the detailed program on the official website
https://cns2023.sched.com ...
Join us at Annual Computational Neuroscience Meeting.
Until now, it has been difficult to examine the neural bases of foraging in naturalistic environments because previous approaches have relied on restrained animals performing trial-based foraging tasks. Here we allowed unrestrained monkeys to freely interact with concurrent reward options while we wirelessly recorded population activity in the dors...
The dichotomy of excitation and suppression is one of the canonical mechanisms explaining the complexity of the neural activity. Computational models of the interplay of excitation and suppression in single neurons aim at investigating how this interaction affects a neuron's spiking responses and shapes, for example, the encoding of sensory stimuli...
Neural responses in the cerebral cortex change dramatically between the ‘synchronized’ state during sleep and ‘desynchronized’ state during wakefulness. Our understanding of cortical state emerges largely from experiments performed in sensory areas of head-fixed or tethered rodents due to technical limitations of recording from larger freely-moving...
Animals forage within their environment to extract valuable resources at lowest cost. Previous studies have suggested that animals simply maximize the current flow of reward without predicting the future outcomes of their actions and that this recent reward rate is represented in various brain areas. To test this, we devised a foraging task in whic...
The accurate relay of electrical signals within cortical networks is key to perception and cognitive function. Theoretically, it has long been proposed that temporal coordination of neuronal spiking activity controls signal transmission and behavior. However, whether and how temporally precise neuronal coordination in population activity influences...
This dissertation was organized in two parts: in part 1, we discussed Neural Correlates of Perceptual Accuracy” and in part 2 we discussed “Strategy encoding in Prefrontal Cortex”. Abstract of part 1_The accurate transmission of electrical signals within neocortex is central to sensory perception and cognition. Theoretical studies have long propose...
Looking ahead to the time when autonomous cars will be common, Dresner and Stone proposed a multiagent systems-based intersection control protocol called Autonomous Intersection Management (AIM). They showed that by leveraging the capacities of autonomous vehicles it is possible to dramatically reduce the time wasted in traffic, and therefore also...
The recent robot car competitions and demonstrations have convincingly shown that fully autonomous vehicles are feasible with current or near-future intelligent vehicle technology. Looking ahead to the time when such autonomous cars will be common, Dresner and Stone proposed a new intersection control protocol called Autonomous Intersection Managem...
Looking ahead to the time when autonomous cars will be common, Dresner and Stone proposed a multiagent systemsbased intersection control protocol called Autonomous Intersection Management (AIM). They showed that by leveraging the capacities of autonomous vehicles it is possible to dramatically reduce the time wasted in traffic, and therefore also f...
This paper describes the research focus and ideas incorpo-rated in the UT Austin Villa Simulation League Mixed Reality team entering the RoboCup competitions in 2008.
Exploiting neural networks native parallelism and interaction locality, dedicated parallel hardware implementation of neural networks is essential for their effective use in time-critical applications. The architecture proposed in this paper is a parallel stream processor called neural networks stream processor or NnSP which can be programmed to re...
Combining hill climbing methods that search for the optimum points in a bounded region of search space with genetic algorithm is effective in the cases that the search space or optimization problem is complicated. However, parameter setting of selected HC can influence the performance of the algorithm significantly. In this paper a run-time self-ad...
In this paper, the problem of finding the optimal collision free path for a mobile robot, the path planning problem, is solved using an advanced evolutionary algorithm called memetic algorithm. What is new in this work is a novel representation of solutions for evolutionary algorithms that is efficient, simple and also compatible with memetic algor...
Cim++ is a C++ library that is developed for object oriented hardware design and modeling. Cim++ enables C++ to be used as an OO HDL, which supports concurrency in description and inheritance in design, while design simulation results are obtained by running the C++ program. On the other hand, Cim++ provides an integrated design and modeling enviro...