Introduction: The current study aimed to elucidate the role of preparatory cognitive control in decision making and its neural correlates using functional Magnetic Resonance Imaging (fMRI). To this effect, by employing a series of new cognitive tasks, we assessed the role of preparatory cognitive control in monetary (risky) decision making. Methods: The participants had to decide between a...

Neural machine translation decoders are usually conditional language models to sequentially generate words for target sentences. This approach is limited to find the best word composition and requires help of explicit methods as beam search. To help learning correct compositional mechanisms in NMTs, we propose concept equalization using direct mapping distributed representations of source and t...

A quick guide to the elementary motion detector- a model of how a simple neural circuit can detect visual motion, developed from work on insect vision but which seems also to be relevant to vertebrate visual systems.

This paper provides guidance to some of the concepts surrounding recurrent neural networks. Contrary to feedforward networks, recurrent networks can be sensitive, and be adapted to past inputs. Backpropagation learning is described for feedforward networks, adapted to suit our (probabilistic) modeling needs, and extended to cover recurrent networks. The aim of this brief paper is to set the sce...

In this paper I try to describe both the role of mathematics in shaping our understanding of how neural networks operate, and the curious new mathematical concepts generated by our attempts to capture neural networks in equations. My target reader being the non-expert, I will present a biased selection of relatively simple examples of neural network tasks, models and calculations, rather than t...

Diffusible and substrate-bound cues can guide axonal pathway choice via attractive and repulsive signals. A number of families of signalling molecules have been identified, including netrins and their receptors, semaphorins, neuropilins, Eph receptor tyrosine kinases, ephrins and CAMs. Many of these signalling molecules can have a dual role, functioning either as attractants or as repellents. D...

Neural progenitors are central players in the development of the brain neural circuitry. They not only produce the diverse neuronal and glial cell types in the brain, but also guide their migration in this process. Recent evidence indicates that neural progenitors also play a critical role in the development of the brain vascular network. At an early stage, neural progenitors have been found to...

Background and aims: Since accurate forecasts help inform decisions for preventive health-careintervention and epidemic control, this goal can only be achieved by making use of appropriatetechniques and methodologies. As much as forecast precision is important, methods and modelselection procedures are critical to forecast precision. This study aimed at providing an overview o...

Computational neurobiology is an emerging eld which employs models to simulate the behavior of real neural systems We present an environment that can be used to guide simulations using existing neural models This environment is based on Perl a powerful and standard script language It also contains a standard library of routines for common simulation tasks Included in the environment is an optim...