Concept

Cognitive architecture

Related publications (111)

Capacity Scaling of Cognitive Networks: Beyond Interference-Limited Communication

The capacity scaling laws of two overlaid networks sharing the same wireless resources with different priorities are investigated. The primary network is assumed to operate in an order-optimal fashion to achieve its standalone capacity scaling law. The sec ...

2013

Self in motion: sensorimotor and cognitive mechanisms in gait agency

Olaf Blanke, Oliver Alan Kannape

Acting in our environment and experiencing ourselves as conscious agents are fundamental aspects of human selfhood. While large advances have been made with respect to understanding human sensorimotor control from an engineering approach, knowledge about i ...

Amer Physiological Soc2013

Bio-Inspired Decentralized Radio Access Based on Swarming Mechanisms Over Adaptive Networks

Ali H. Sayed

The goal of this paper is to study the learning abilities of adaptive networks in the context of cognitive radio networks and to investigate how well they assist in allocating power and communications resources in the frequency domain. The allocation mecha ...

Institute of Electrical and Electronics Engineers, Inc., 345 E. 47 th St. NY NY 10017-2394 United States2013

Towards bio-hybrid systems made of social animals and robots

Francesco Mondada

For making artificial systems collaborate with group-living animals, the scientific challenge is to build artificial systems that can perceive, communicate to, interact with and adapt to animals. When such capabilities are available then it should be possi ...

Springer2013

Decentralized Resource Assignment in Cognitive Networks Based on Swarming Mechanisms Over Random Graphs

Ali H. Sayed

This paper proposes a distributed resource assignment strategy for cognitive networks mimicking a swarm foraging mechanism, assuming that the communication among the cognitive nodes is impaired by random link failures and quantization noise. Using results ...

IEEE2012

Modelling and Optimizing the Process of Learning Mathematics

This paper introduces a computer-based training program for enhancing numerical cognition aimed at children with developmental dyscalculia. Through modelling cognitive processes and controlling the level of their stimulation, the system optimizes the learn ...

Springer2012

On the Relevance of Sparsity for Image Classification

Pascal Fua, Engin Türetken, Vincent Lepetit, Germán González Serrano, Roberto Rigamonti, Matthew Brown, Fethallah Benmansour

In this paper we analyze empirically the importance of sparsifying representations for classification purposes. We focus on those obtained by convolving images with linear filters, which can be either hand designed or learned, and perform extensive experim ...

2012

Natural Language Processing (Almost) from Scratch

Ronan Collobert, Michael Karlen

We propose a unified neural network architecture and learning algorithm that can be applied to various natural language processing tasks including part-of-speech tagging, chunking, named entity recognition, and semantic role labeling. This versatility is a ...

2011

Neural mechanisms and computations underlying stress effects on learning and memory

Maria del Carmen Sandi Perez, Gediminas Luksys

Stress has complex effects on memory function that can vary depending on the type of information that is learned and in relation to inter-individual characteristics. Recent work has also shown that stress can switch performance between memory systems, bias ...

2011

Producing and Reading Annotations on Paper Documents: a geometrical framework for eye-tracking studies

Pierre Dillenbourg, Frédéric Kaplan, Andrea Mazzei

The printed textbook remains the primary medium for studying in educational systems. Learners use personal annotation strategies while reading. These practices play an important role in supporting working memory, enhancing recall and influencing attentiona ...

2011

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