40 results match your criteria Cognitive Computation [Journal]

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A Generative Model of Cognitive State from Task and Eye Movements.

Cognit Comput 2018 Oct 9;10(5):703-717. Epub 2018 May 9.

University of Nebraska-Lincoln, Lincoln, NE, USA.

The early eye tracking studies of Yarbus provided descriptive evidence that an observer's task influences patterns of eye movements, leading to the tantalizing prospect that an observer's intentions could be inferred from their saccade behavior. We investigate the predictive value of task and eye movement properties by creating a computational cognitive model of saccade selection based on instructed task and internal cognitive state using a Dynamic Bayesian Network (DBN). Understanding how humans generate saccades under different conditions and cognitive sets links recent work on salience models of low-level vision with higher level cognitive goals. Read More

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http://dx.doi.org/10.1007/s12559-018-9558-9DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6367733PMC
October 2018

Quantitative Analysis of Relationship Between Hypokinetic Dysarthria and the Freezing of Gait in Parkinson's Disease.

Cognit Comput 2018 27;10(6):1006-1018. Epub 2018 Jun 27.

2First Department of Neurology, St. Anne's University Hospital, Pekarska 53, 656 91 Brno, Czech Republic.

Hypokinetic dysarthria (HD) and freezing of gait (FOG) are both axial symptoms that occur in patients with Parkinson's disease (PD). It is assumed they have some common pathophysiological mechanisms and therefore that speech disorders in PD can predict FOG deficits within the horizon of some years. The aim of this study is to employ a complex quantitative analysis of the phonation, articulation and prosody in PD patients in order to identify the relationship between HD and FOG, and establish a mathematical model that would predict FOG deficits using acoustic analysis at baseline. Read More

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http://dx.doi.org/10.1007/s12559-018-9575-8DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6294819PMC
June 2018
4 Reads

Distributed Drone Base Station Positioning for Emergency Cellular Networks Using Reinforcement Learning.

Cognit Comput 2018 22;10(5):790-804. Epub 2018 May 22.

1School of Engineering, University of Glasgow, Glasgow, UK.

Due to the unpredictability of natural disasters, whenever a catastrophe happens, it is vital that not only emergency rescue teams are prepared, but also that there is a functional communication network infrastructure. Hence, in order to prevent additional losses of human lives, it is crucial that network operators are able to deploy an emergency infrastructure as fast as possible. In this sense, the deployment of an intelligent, mobile, and adaptable network, through the usage of drones-unmanned aerial vehicles-is being considered as one possible alternative for emergency situations. Read More

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http://dx.doi.org/10.1007/s12559-018-9559-8DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6182572PMC
May 2018
2 Reads
1.100 Impact Factor

Goal-Directed Reasoning and Cooperation in Robots in Shared Workspaces: an Internal Simulation Based Neural Framework.

Cognit Comput 2018 14;10(4):558-576. Epub 2018 Apr 14.

2CSEE Department, University of Essex, Colchester, UK.

From social dining in households to product assembly in manufacturing lines, goal-directed reasoning and cooperation with other agents in shared workspaces is a ubiquitous aspect of our day-to-day activities. Critical for such behaviours is the ability to spontaneously anticipate what is doable by oneself as well as the interacting partner based on the evolving environmental context and thereby exploit such information to engage in goal-oriented action sequences. In the setting of an industrial task where two robots are jointly assembling objects in a shared workspace, we describe a bioinspired neural architecture for goal-directed action planning based on coupled interactions between multiple internal models, primarily of the robot's body and its peripersonal space. Read More

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http://dx.doi.org/10.1007/s12559-018-9553-1DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6096944PMC
April 2018
1 Read

The Fundamental Code Unit of the Brain: Towards a New Model for Cognitive Geometry.

Cognit Comput 2018 20;10(3):426-436. Epub 2018 Jan 20.

2University of Stirling, Scotland, UK.

This paper discusses the problems arising from the multidisciplinary nature of cognitive research and the need to conceptually unify insights from multiple fields into the phenomena that drive cognition. Specifically, the Fundamental Code Unit (FCU) is proposed as a means to better quantify the intelligent thought process at multiple levels of analysis. From the linguistic and behavioral output, FCU produces to the chemical and physical processes within the brain that drive it. Read More

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http://dx.doi.org/10.1007/s12559-017-9538-5DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5971038PMC
January 2018
4 Reads

Evaluating Integration Strategies for Visuo-Haptic Object Recognition.

Cognit Comput 2018 28;10(3):408-425. Epub 2017 Dec 28.

Knowledge Technology, Department of Informatics, Universität Hamburg, Vogt-Kölln-Str. 30, 22527 Hamburg, Germany.

In computational systems for visuo-haptic object recognition, vision and haptics are often modeled as separate processes. But this is far from what really happens in the human brain, where cross- as well as multimodal interactions take place between the two sensory modalities. Generally, three main principles can be identified as underlying the processing of the visual and haptic object-related stimuli in the brain: (1) hierarchical processing, (2) the divergence of the processing onto substreams for object shape and material perception, and (3) the experience-driven self-organization of the integratory neural circuits. Read More

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http://dx.doi.org/10.1007/s12559-017-9536-7DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5971043PMC
December 2017
2 Reads

A Bayesian Assessment of Real-World Behavior During Multitasking.

Cognit Comput 2017 12;9(6):749-757. Epub 2017 Aug 12.

Massachusetts Institute of Technology, Boston, USA.

Multitasking is common in everyday life, but its effect on activities of daily living is not well understood. Critical appraisal of performance for both healthy individuals and patients is required. Motor activities during meal preparation were monitored in healthy individuals with a wearable sensor network during single and multitask conditions. Read More

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http://dx.doi.org/10.1007/s12559-017-9500-6DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5722954PMC
August 2017
9 Reads

Nature-Inspired Chemical Reaction Optimisation Algorithms.

Cognit Comput 2017 17;9(4):411-422. Epub 2017 Jun 17.

College of Engineering, The Ohio State University, 470 Hitchcock Hall, 2070 Neil Avenue, Columbus, OH 43210 USA.

Nature-inspired meta-heuristic algorithms have dominated the scientific literature in the areas of machine learning and cognitive computing paradigm in the last three decades. Chemical reaction optimisation (CRO) is a population-based meta-heuristic algorithm based on the principles of chemical reaction. A chemical reaction is seen as a process of transforming the reactants (or molecules) through a sequence of reactions into products. Read More

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http://dx.doi.org/10.1007/s12559-017-9485-1DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5552861PMC
June 2017
6 Reads

An Investigation of the Dynamical Transitions in Harmonically Driven Random Networks of Firing-Rate Neurons.

Cognit Comput 2017 7;9(3):351-363. Epub 2017 Apr 7.

Department of Computing, Imperial College London, London, UK.

Continuous-time recurrent neural networks are widely used as models of neural dynamics and also have applications in machine learning. But their dynamics are not yet well understood, especially when they are driven by external stimuli. In this article, we study the response of stable and unstable networks to different harmonically oscillating stimuli by varying a parameter , the ratio between the timescale of the network and the stimulus, and use the dimensionality of the network's attractor as an estimate of the complexity of this response. Read More

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http://dx.doi.org/10.1007/s12559-017-9464-6DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5487873PMC
April 2017
7 Reads

A Hierarchical Predictive Coding Model of Object Recognition in Natural Images.

Authors:
M W Spratling

Cognit Comput 2017 28;9(2):151-167. Epub 2016 Dec 28.

Department of Informatics, King's College London, Strand, London, WC2R 2LS UK.

Predictive coding has been proposed as a model of the hierarchical perceptual inference process performed in the cortex. However, results demonstrating that predictive coding is capable of performing the complex inference required to recognise objects in natural images have not previously been presented. This article proposes a hierarchical neural network based on predictive coding for performing visual object recognition. Read More

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http://dx.doi.org/10.1007/s12559-016-9445-1DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5371651PMC
December 2016
5 Reads

A Comparative Study of In-Air Trajectories at Short and Long Distances in Online Handwriting.

Cognit Comput 2017 27;9(5):712-720. Epub 2017 Jul 27.

2Department of Telecommunications, Faculty of Electrical Engineering and Communication, Brno University of Technology, Technicka 10, 616 00 Brno, Czech Republic.

Existing literature about online handwriting analysis to support pathology diagnosis has taken advantage of in-air trajectories. A similar situation occurred in biometric security applications where the goal is to identify or verify an individual using his signature or handwriting. These studies do not consider the distance of the pen tip to the writing surface. Read More

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http://dx.doi.org/10.1007/s12559-017-9501-5DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6061233PMC
July 2017
2 Reads

Computational Drafting of Plot Structures for Russian Folk Tales.

Authors:
Pablo Gervás

Cognit Comput 2016;8(2):187-203. Epub 2015 May 27.

Instituto de Tecnología del Conocimiento, Universidad Complutense de Madrid, 28040 Madrid, Spain.

The plots of stories are known to follow general patterns in terms of their overall structure. This was the basic tenet of structuralist approaches to narratology. Vladimir Propp proposed a procedure for the generation of new tales based on his semi-formal description of the structure of Russian folk tales. Read More

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http://dx.doi.org/10.1007/s12559-015-9338-8DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5005406PMC
May 2015
5 Reads

Multilingual Sentiment Analysis: State of the Art and Independent Comparison of Techniques.

Cognit Comput 2016;8:757-771. Epub 2016 Jun 1.

Tsinghua University, Beijing, China.

With the advent of Internet, people actively express their opinions about products, services, events, political parties, etc., in social media, blogs, and website comments. The amount of research work on sentiment analysis is growing explosively. Read More

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http://dx.doi.org/10.1007/s12559-016-9415-7DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4981629PMC
June 2016
13 Reads

From Spin to Swindle: Identifying Falsification in Financial Text.

Cognit Comput 2016;8:729-745. Epub 2016 May 21.

University of Stirling, Stirling, UK.

Despite legislative attempts to curtail financial statement fraud, it continues unabated. This study makes a renewed attempt to aid in detecting this misconduct using linguistic analysis with data mining on narrative sections of annual reports/10-K form. Different from the features used in similar research, this paper extracts three distinct sets of features from a newly constructed corpus of narratives (408 annual reports/10-K, 6. Read More

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http://dx.doi.org/10.1007/s12559-016-9413-9DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4981627PMC
May 2016
5 Reads

Toward Self-Referential Autonomous Learning of Object and Situation Models.

Cognit Comput 2016 27;8:703-719. Epub 2016 Apr 27.

Honda Research Institute Europe GmbH, Carl-Legien-Straße 30, 63073 Offenbach, Germany.

Most current approaches to scene understanding lack the capability to adapt object and situation models to behavioral needs not anticipated by the human system designer. Here, we give a detailed description of a system architecture for self-referential autonomous learning which enables the refinement of object and situation models during operation in order to optimize behavior. This includes structural learning of hierarchical models for situations and behaviors that is triggered by a mismatch between expected and actual action outcome. Read More

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http://dx.doi.org/10.1007/s12559-016-9407-7DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4981634PMC
April 2016
8 Reads

Passing the Turing Test Does Not Mean the End of Humanity.

Cognit Comput 2016;8:409-419. Epub 2015 Dec 28.

Coventry University, Priory Street, Coventry, CV1 5FB UK.

In this paper we look at the phenomenon that is the Turing test. We consider how Turing originally introduced his imitation game and discuss what this means in a practical scenario. Due to its popular appeal we also look into different representations of the test as indicated by numerous reviewers. Read More

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http://link.springer.com/10.1007/s12559-015-9372-6
Publisher Site
http://dx.doi.org/10.1007/s12559-015-9372-6DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4867147PMC
December 2015
14 Reads

Trusted Autonomy and Cognitive Cyber Symbiosis: Open Challenges.

Cognit Comput 2016;8:385-408. Epub 2015 Dec 23.

School of Engineering and Information Technology, University of New South Wales, Canberra, ACT 2600 Australia.

This paper considers two emerging interdisciplinary, but related topics that are likely to create tipping points in advancing the engineering and science areas. Trusted Autonomy (TA) is a field of research that focuses on understanding and designing the interaction space between two entities each of which exhibits a level of autonomy. These entities can be humans, machines, or a mix of the two. Read More

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http://dx.doi.org/10.1007/s12559-015-9365-5DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4867784PMC
December 2015
24 Reads

Automated Fictional Ideation via Knowledge Base Manipulation.

Cognit Comput 2016;8:153-174. Epub 2016 Jan 11.

Department of Computing, Goldsmiths, University of London, London, UK.

The invention of fictional ideas (ideation) is often a central process in the creative production of artefacts such as poems, music and paintings, but has barely been studied in the computational creativity community. We present here a general approach to automated fictional ideation that works by manipulating facts specified in knowledge bases. More specifically, we specify a number of constructions which, by altering and combining facts from a knowledge base, result in the generation of fictions. Read More

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http://dx.doi.org/10.1007/s12559-015-9366-4DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4826667PMC
January 2016
5 Reads

Nature Inspired Computing: An Overview and Some Future Directions.

Cognit Comput 2015;7(6):706-714. Epub 2015 Nov 30.

Departments of Biomedical Engineering, Biomedical Informatics, Civil, Environmental, and Geodetic Engineering, Electrical and Computer Engineering, Neuroscience, and Neurology, The Ohio State University, 470 Hitchcock Hall, 2070 Neil Avenue, Columbus, OH 43210 USA.

This paper presents an overview of significant advances made in the emerging field of nature-inspired computing (NIC) with a focus on the physics- and biology-based approaches and algorithms. A parallel development in the past two decades has been the emergence of the field of computational intelligence (CI) consisting primarily of the three fields of neural networks, evolutionary computing and fuzzy logic. It is observed that NIC and CI intersect. Read More

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http://dx.doi.org/10.1007/s12559-015-9370-8DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4675795PMC
November 2015
6 Reads

Sherlock: A Semi-automatic Framework for Quiz Generation Using a Hybrid Semantic Similarity Measure.

Cognit Comput 2015;7(6):667-679. Epub 2015 Aug 4.

College of Computer Science and Technology, Jilin University, Changchun, 130012 China.

In this paper, we present a semi-automatic system (Sherlock) for quiz generation using linked data and textual descriptions of RDF resources. Sherlock is distinguished from existing quiz generation systems in its generic framework for domain-independent quiz generation as well as in the ability of controlling the difficulty level of the generated quizzes. Difficulty scaling is non-trivial, and it is fundamentally related to cognitive science. Read More

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http://dx.doi.org/10.1007/s12559-015-9347-7DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4675796PMC
August 2015
10 Reads

An Integrated Qualitative and Quantitative Biochemical Model Learning Framework Using Evolutionary Strategy and Simulated Annealing.

Cognit Comput 2015 3;7(6):637-651. Epub 2015 May 3.

School of Natural and Computing Sciences, University of Aberdeen, Aberdeen, AB24 3UE Scotland, UK.

Both qualitative and quantitative model learning frameworks for biochemical systems have been studied in computational systems biology. In this research, after introducing two forms of pre-defined component patterns to represent biochemical models, we propose an integrative qualitative and quantitative modelling framework for inferring biochemical systems. In the proposed framework, interactions between reactants in the candidate models for a target biochemical system are evolved and eventually identified by the application of a qualitative model learning approach with an evolution strategy. Read More

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http://dx.doi.org/10.1007/s12559-015-9328-xDOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4675806PMC
May 2015
16 Reads

Autonomous Driver Based on an Intelligent System of Decision-Making.

Cognit Comput 2015;7(5):569-581. Epub 2015 Feb 13.

Department of Systems Engineering, Military Technological College, P.O. Box 262, PC 111 Muscat, Sultanate of Oman.

The paper presents and discusses a system () which uses an Intelligent System of Decision-making (ISD) for the task of car driving. The principal subject is the implementation, simulation and testing of the ISD system described earlier in our publications (Kowalczuk and Czubenko in artificial intelligence and soft computing lecture notes in computer science, lecture notes in artificial intelligence, Springer, Berlin, 2010, 2010, In Int J Appl Math Comput Sci 21(4):621-635, 2011, In Pomiary Autom Robot 2(17):60-5, 2013) for the task of autonomous driving. The design of the whole ISD system is a result of a thorough modelling of human psychology based on an extensive literature study. Read More

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http://dx.doi.org/10.1007/s12559-015-9320-5DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4564448PMC
February 2015
7 Reads

Model of the Reticular Formation of the Brainstem Based on Glial-Neuronal Interactions.

Cognit Comput 2015;7:64-73. Epub 2014 Jun 3.

Volitronics-Institute for Basic Research, Psychopathology and Brain Philosophy, Gotthard Guenther Archives, Autobahnweg 7, 5071 Wals/Salzburg, Austria.

A new model of the reticular formation of the brainstem is proposed. It refers to the neuronal and glial cell systems. Thus, it is biomimetically founded. Read More

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http://dx.doi.org/10.1007/s12559-014-9260-5DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4320307PMC
June 2014
4 Reads

Affective Robotics: Modelling and Testing Cultural Prototypes.

Cognit Comput 2014 14;6(4):814-840. Epub 2014 Aug 14.

University of Lodz, Lodz, Poland.

If robots are to successfully interact with humans, they need to measure, quantify and respond to the emotions we produce. Similar to humans, the perceptual cue inputs to any modelling that allows this will be based on behavioural expression and body activity features that are prototypical of each emotion. However, the likely employment of such robots in different cultures necessitates the tuning of the emotion feature recognition system to the specific feature profiles present in these cultures. Read More

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http://dx.doi.org/10.1007/s12559-014-9299-3DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4255092PMC
August 2014
9 Reads

Views from Within a Narrative: Evaluating Long-Term Human-Robot Interaction in a Naturalistic Environment Using Open-Ended Scenarios.

Cognit Comput 2014 6;6(4):741-759. Epub 2014 Nov 6.

Adaptive Systems Research Group, School of Computer Science, University of Hertfordshire, Hatfield, UK.

This article describes the prototyping of human-robot interactions in the University of Hertfordshire (UH) Robot House. Twelve participants took part in a long-term study in which they interacted with robots in the UH Robot House once a week for a period of 10 weeks. A prototyping method using the narrative framing technique allowed participants to engage with the robots in episodic interactions that were framed using narrative to convey the impression of a continuous long-term interaction. Read More

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http://dx.doi.org/10.1007/s12559-014-9284-xDOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4255091PMC
November 2014
18 Reads
1 Citation
1.100 Impact Factor

A Consensus-Based Grouping Algorithm for Multi-agent Cooperative Task Allocation with Complex Requirements.

Cognit Comput 2014 30;6(3):338-350. Epub 2014 Apr 30.

Texas A&M University at Qatar, Doha, Qatar.

This paper looks at consensus algorithms for agent cooperation with unmanned aerial vehicles. The foundation is the consensus-based bundle algorithm, which is extended to allow multi-agent tasks requiring agents to cooperate in completing individual tasks. Inspiration is taken from the cognitive behaviours of eusocial animals for cooperation and improved assignments. Read More

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http://dx.doi.org/10.1007/s12559-014-9265-0DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4150994PMC
April 2014
8 Reads

Neural 'Bubble' Dynamics Revisited.

Cognit Comput 2013 28;5(3):281-294. Epub 2013 Mar 28.

Department of Mathematical Sciences, Center for Mathematical Medicine and Biology, University of Nottingham, Nottingham, NG7 2RD UK.

In this paper, we revisit the work of John G Taylor on neural 'bubble' dynamics in two-dimensional neural field models. This builds on original work of Amari in a one-dimensional setting and makes use of the fact that mathematical treatments are much simpler when the firing rate function is chosen to be a Heaviside. In this case, the dynamics of an excited or active region, defining a 'bubble', reduce to the dynamics of the boundary. Read More

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http://dx.doi.org/10.1007/s12559-013-9214-3DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3920032PMC
March 2013
20 Reads

Improved Convolutive and Under-Determined Blind Audio Source Separation with MRF Smoothing.

Authors:
Rafał Zdunek

Cognit Comput 2013 7;5(4):493-503. Epub 2012 Sep 7.

Institute of Telecommunications, Teleinformatics, and Acoustics, Wroclaw University of Technology, Wybrzeze Wyspianskiego 27, 50-370 Wroclaw, Poland.

Convolutive and under-determined blind audio source separation from noisy recordings is a challenging problem. Several computational strategies have been proposed to address this problem. This study is concerned with several modifications to the expectation-minimization-based algorithm, which iteratively estimates the mixing and source parameters. Read More

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http://dx.doi.org/10.1007/s12559-012-9185-9DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3855489PMC
September 2012
6 Reads

A Neural Mechanism for Reward Discounting: Insights from Modeling Hippocampal-Striatal Interactions.

Authors:
Patryk A Laurent

Cognit Comput 2013 Mar;5(1):152-160

Department of Psychological and Brain Sciences, The Johns Hopkins University, 136 Ames Hall, 3400 N. Charles St, Baltimore MD, 21218, Telephone: +1-410-929-2562.

Decision-making often requires taking into consideration immediate gains as well as delayed rewards. Studies of behavior have established that anticipated rewards are discounted according to a decreasing hyperbolic function. Although mathematical explanations for reward delay discounting have been offered, little has been proposed in terms of neural network mechanisms underlying discounting. Read More

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http://dx.doi.org/10.1007/s12559-012-9178-8DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3668798PMC
March 2013
5 Reads

Introduction to the fractality principle of consciousness and the sentyon postulate.

Authors:
Erhard Bieberich

Cognit Comput 2012 Mar;4(1):13-28

Program in Developmental Neurobiology, Institute of Molecular Medicine and Genetics, Medical College of Georgia, Georgia Health Sciences University, [now Georgia Regents University], 1120 15 Street Room CA4012, Augusta, GA 30912.

Recently, consciousness research has gained much attention. Indeed, the question at stake is significant: why is the brain not just a computing device, but generates a perception from within? Ambitious endeavors trying to simulate the entire human brain assume that the algorithm will do the trick: as soon as we assemble the brain in a computer and increase the number of operations per time, consciousness will emerge by itself. I disagree with this simplistic representation. Read More

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http://link.springer.com/10.1007/s12559-011-9104-5
Publisher Site
http://dx.doi.org/10.1007/s12559-011-9104-5DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3741678PMC
March 2012
18 Reads

Modeling the Development of Goal-Specificity in Mirror Neurons.

Cognit Comput 2011 Dec 29;3(4):525-538. Epub 2011 Sep 29.

Cognition and Interaction Lab, School of Humanities and Informatics, University of Skövde, P.O. Box 408, 541 28 Skövde, Sweden.

Neurophysiological studies have shown that parietal mirror neurons encode not only actions but also the goal of these actions. Although some mirror neurons will fire whenever a certain action is perceived (goal-independently), most will only fire if the motion is perceived as part of an action with a specific goal. This result is important for the action-understanding hypothesis as it provides a potential neurological basis for such a cognitive ability. Read More

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http://dx.doi.org/10.1007/s12559-011-9108-1DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3228964PMC
December 2011
9 Reads

Developing Prognosis Tools to Identify Learning Difficulties in Children Using Machine Learning Technologies.

Cognit Comput 2011 Sep 25;3(3):490-500. Epub 2010 Jun 25.

Cyprus Neuroscience and Technology Institute, Nicosia, Cyprus.

The Mental Attributes Profiling System was developed in 2002 (Laouris and Makris, Proceedings of multilingual & cross-cultural perspectives on Dyslexia, Omni Shoreham Hotel, Washington, D.C, 2002), to provide a multimodal evaluation of the learning potential and abilities of young children's brains. The method is based on the assessment of non-verbal abilities using video-like interfaces and was compared to more established methodologies in (Papadopoulos, Laouris, Makris, Proceedings of IDA 54th annual conference, San Diego, 2003), such as the Wechsler Intelligence Scale for Children (Watkins et al. Read More

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http://dx.doi.org/10.1007/s12559-010-9052-5DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3167393PMC
September 2011
6 Reads

Embodied Gesture Processing: Motor-Based Integration of Perception and Action in Social Artificial Agents.

Cognit Comput 2011 Sep 11;3(3):419-435. Epub 2010 Nov 11.

Sociable Agents Group, Cognitive Interaction Technology (CITEC), Bielefeld University, P.O. Box 100 131, 33501 Bielefeld, Germany.

A close coupling of perception and action processes is assumed to play an important role in basic capabilities of social interaction, such as guiding attention and observation of others' behavior, coordinating the form and functions of behavior, or grounding the understanding of others' behavior in one's own experiences. In the attempt to endow artificial embodied agents with similar abilities, we present a probabilistic model for the integration of perception and generation of hand-arm gestures via a hierarchy of shared motor representations, allowing for combined bottom-up and top-down processing. Results from human-agent interactions are reported demonstrating the model's performance in learning, observation, imitation, and generation of gestures. Read More

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http://dx.doi.org/10.1007/s12559-010-9082-zDOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3167367PMC
September 2011
7 Reads

Dynamic, Task-Related and Demand-Driven Scene Representation.

Cognit Comput 2011 Mar 2;3(1):124-145. Epub 2010 Nov 2.

Honda Research Institute Europe, Carl-Legien-Str. 30, 63073 Offenbach/Main, Germany.

Humans selectively process and store details about the vicinity based on their knowledge about the scene, the world and their current task. In doing so, only those pieces of information are extracted from the visual scene that is required for solving a given task. In this paper, we present a flexible system architecture along with a control mechanism that allows for a task-dependent representation of a visual scene. Read More

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http://dx.doi.org/10.1007/s12559-010-9077-9DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3059823PMC
March 2011
6 Reads

Predicting Eye Fixations on Complex Visual Stimuli Using Local Symmetry.

Cognit Comput 2011 Mar 12;3(1):223-240. Epub 2011 Jan 12.

Most bottom-up models that predict human eye fixations are based on contrast features. The saliency model of Itti, Koch and Niebur is an example of such contrast-saliency models. Although the model has been successfully compared to human eye fixations, we show that it lacks preciseness in the prediction of fixations on mirror-symmetrical forms. Read More

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http://dx.doi.org/10.1007/s12559-010-9089-5DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3059820PMC
March 2011
7 Reads

Modelling Visual Search with the Selective Attention for Identification Model (VS-SAIM): A Novel Explanation for Visual Search Asymmetries.

Cognit Comput 2011 Mar 26;3(1):185-205. Epub 2010 Oct 26.

In earlier work, we developed the Selective Attention for Identification Model (SAIM [16]). SAIM models the human ability to perform translation-invariant object identification in multiple object scenes. SAIM suggests that central for this ability is an interaction between parallel competitive processes in a selection stage and a object identification stage. Read More

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http://dx.doi.org/10.1007/s12559-010-9076-xDOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3059816PMC
March 2011
6 Reads

Adaptive Gaze Control for Object Detection.

Cognit Comput 2011 Mar 15;3(1):264-278. Epub 2011 Jan 15.

We propose a novel gaze-control model for detecting objects in images. The model, named act-detect, uses the information from local image samples in order to shift its gaze towards object locations. The model constitutes two main contributions. Read More

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http://dx.doi.org/10.1007/s12559-010-9093-9DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3059812PMC
March 2011
7 Reads

An Image Statistics-Based Model for Fixation Prediction.

Cognit Comput 2011 Mar 14;3(1):94-104. Epub 2010 Dec 14.

The problem of predicting where people look at, or equivalently salient region detection, has been related to the statistics of several types of low-level image features. Among these features, contrast and edge information seem to have the highest correlation with the fixation locations. The contrast distribution of natural images can be adequately characterized using a two-parameter Weibull distribution. Read More

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http://dx.doi.org/10.1007/s12559-010-9087-7DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3059785PMC
March 2011
6 Reads

Biased Competition in Visual Processing Hierarchies: A Learning Approach Using Multiple Cues.

Cognit Comput 2011 Mar 19;3(1):146-166. Epub 2011 Jan 19.

Honda Research Institute Europe GmbH, Carl-Legien-Str.30, 63073 Offenbach, Germany.

In this contribution, we present a large-scale hierarchical system for object detection fusing bottom-up (signal-driven) processing results with top-down (model or task-driven) attentional modulation. Specifically, we focus on the question of how the autonomous learning of invariant models can be embedded into a performing system and how such models can be used to define object-specific attentional modulation signals. Our system implements bi-directional data flow in a processing hierarchy. Read More

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http://dx.doi.org/10.1007/s12559-010-9092-xDOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3059758PMC
March 2011
9 Reads

Recruitment and Consolidation of Cell Assemblies for Words by Way of Hebbian Learning and Competition in a Multi-Layer Neural Network.

Cognit Comput 2009 Jun;1(2):160-176

Medical Research Council, Cognition and Brain Sciences Unit, 15, Chaucer Road, Cambridge CB2 7EF, UK.

Current cognitive theories postulate either localist representations of knowledge or fully overlapping, distributed ones. We use a connectionist model that closely replicates known anatomical properties of the cerebral cortex and neurophysiological principles to show that Hebbian learning in a multi-layer neural network leads to memory traces (cell assemblies) that are both distributed and anatomically distinct. Taking the example of word learning based on action-perception correlation, we document mechanisms underlying the emergence of these assemblies, especially (i) the recruitment of neurons and consolidation of connections defining the kernel of the assembly along with (ii) the pruning of the cell assembly's halo (consisting of very weakly connected cells). Read More

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http://dx.doi.org/10.1007/s12559-009-9011-1DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2854812PMC
June 2009
5 Reads
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