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Extreme learning machine towards dynamic model hypothesis in fish ethology research

Rui Nian, Bo He, Bing Zheng, Mark van Heeswijk, Qi Yu, Yoan Miche, Amaury Lendasse
2014 Neurocomputing  
., Extreme learning machine towards dynamic model hypothesis in fish ethology research, Neurocomputing (2013), http://dx.  ...  In this paper, we present one dynamic model hypothesis to perform fish trajectory tracking in the fish ethology research and develop the relevant mathematical criterion on the basis of the Extreme Learning  ...  Nian, et al., Extreme learning machine towards dynamic model hypothesis in fish ethology research, Neurocomputing (2013), http://dx.doi.org/10.1016/j.neucom.2013.03.054i  ... 
doi:10.1016/j.neucom.2013.03.054 fatcat:vfrcdae2szg2pcceu6eat7xfpm

Tinbergen's challenge for the neuroscience of behavior

Donald Pfaff, Inna Tabansky, Wulf Haubensak
2019 Proceedings of the National Academy of Sciences of the United States of America  
Thus, as new methodologies come online, from single-nerve-cell RNA sequencing, for example, to smart FISH, large-scale calcium imaging from cortex and deep brain structures, computational ethology, and  ...  Hypothesis-driven research might well proceed in small laboratories, but "hypothesis-free, discovery driven" research yielding big data, as mentioned above, will need the consortia with accompanying accommodations  ...  vivo single-cell two-photon and calcium imaging, dynamic circuit modeling of fMRI data, mathematical analyses of electrophysiological data and ethological data, and many others.  ... 
doi:10.1073/pnas.1903589116 pmid:31036636 pmcid:PMC6525541 fatcat:l4fujl6io5bixe2q76noajb6jm

Animal Behavior: A Continuing Synthesis

W Timberlake
1993 Annual Review of Psychology  
I believe cognitive research will be better served in the long run by moving in the same direction as other research in animal behavior, namely toward ecological, phylogenetic, and microevolutionary concerns  ...  Laboratory Methods In the extreme view, comparative psychologists have been associated with a laboratory approach to research--the use of arbitrary stimuli, "artificial" laboratory-bred animals, automatic  ... 
doi:10.1146/annurev.psych.44.1.675 fatcat:nlgo7djqy5acxhfafuh5bfssqq

Animal Behavior: A Continuing Synthesis

William Timberlake
1993 Annual Review of Psychology  
I believe cognitive research will be better served in the long run by moving in the same direction as other research in animal behavior, namely toward ecological, phylogenetic, and microevolutionary concerns  ...  Laboratory Methods In the extreme view, comparative psychologists have been associated with a laboratory approach to research--the use of arbitrary stimuli, "artificial" laboratory-bred animals, automatic  ... 
doi:10.1146/annurev.ps.44.020193.003331 pmid:8434898 fatcat:qwnh2jcztjeylbg5rjdqclmtuu

On the Impact of Robotics in Behavioral and Cognitive Sciences: From Insect Navigation to Human Cognitive Development

P.-Y. Oudeyer
2010 IEEE Transactions on Autonomous Mental Development  
Finally, I discuss the fact that in spite of its role in the formation of many fundamental theories in behavioral and cognitive sciences, the use of robots is far from being accepted as a standard tool  ...  This article presents a series of paradigmatic examples spanning from the modelling of insect navigation, the experimentation of the role of morphology to control locomotion, the development of foundational  ...  A robotic experiment which permits to illustrate this point in an extreme manner was made by Tad McGeer with passive dynamic walkers [30] , [99] , [100] .  ... 
doi:10.1109/tamd.2009.2039057 fatcat:szljgizysbfkdhpk2kge5feuqi

Brain complexity enhances speed of behavioral evolution

H. P. Lipp
1979 Behavioral and Brain Sciences  
In terms of their objects and methods, certain focal areas of research could also be subsumed under the general rubric of "child ethology" (Blurton-Jones, 1972; McGrew, 1972) .  ...  The formal application of ethological methods to the study of man began about fifteen years ago. During the last ten years human ethological research has concentrated upon a number of focal points.  ...  Most researchers have by now lost interest in the nature /nurture false dichotomy, and few still find useful the hydraulic model of classical ethology.  ... 
doi:10.1017/s0140525x00060611 fatcat:qhsguia74nddva2ofenxdtsawq

Social isolation increases social display after priming in Betta splendens but decreases aggressive readiness

J.R.P. Halperin, D.W. Dunham, S. Ye
1992 Behavioural Processes  
This result supports the hypothesis that social isolation has two effects on aggressive display in Betta, causing decreasing readiness to display, but leading to greater display rates once fish are 'primed  ...  Methodological issues relevant for examining the rodent behavior literature in the light of the new model are discussed.  ...  models, and Douglas Hall and Stephen Halperin for invaluable help with data collection programs.  ... 
doi:10.1016/0376-6357(92)90045-f pmid:24924788 fatcat:fnorrl3v2zhm3eo6uu27vjb6ey

Prospective Learning: Back to the Future [article]

Joshua T. Vogelstein, Timothy Verstynen, Konrad P. Kording, Leyla Isik, John W. Krakauer, Ralph Etienne-Cummings, Elizabeth L. Ogburn, Carey E. Priebe, Randal Burns, Kwame Kutten, James J. Knierim, James B. Potash (+51 others)
2022 arXiv   pre-print
Both must update their internal models to be useful for future tasks, such as naming fundamentally new objects and using these objects effectively in a new context or to achieve previously unencountered  ...  In many real world problems, both NIs and AIs will have to learn for an uncertain future.  ...  Modern retrospective learning machines notoriously fail to learn causal models in all but the most anodyne settings.  ... 
arXiv:2201.07372v1 fatcat:6qktqmoffvd4zl37ubd4wo2f2m

An Investigation of the Free Energy Principle for Emotion Recognition

Daphne Demekas, Thomas Parr, Karl J. Friston
2020 Frontiers in Computational Neuroscience  
Following this, a third wave of emotional devices will converge upon the user's generative model, resulting in the machine and human engaging in a reciprocal, prosocial emotional interaction, i.e., sharing  ...  The underlying hypothesis is that emotion recognition and inference devices will evolve from state-of-the-art deep learning models into active inference schemes that go beyond marketing applications and  ...  I would also like to thank KF for inviting me to present to his group and for his support in writing this paper.  ... 
doi:10.3389/fncom.2020.00030 pmid:32390817 pmcid:PMC7189749 fatcat:k7imzpf76zakjhnjelf5z27ugy

A computer simulation to investigate the association between gene-based gifting and pair-bonding in early hominins

Ovi Chris Rouly
2018 Journal of Human Evolution  
The simulation investigated what would happen if, within a population, a single gene for prosocial behavior (the independent variable in the experiment) was either switched on or switched-off.  ...  The null hypothesis predicted that, if the gene was switched off, then semipermanent breeding bonds (the dependent variable) would nonetheless emerge within the population.  ...  or if their respective research question could be nuanced such that the research could be run without modeling any explicit hominin cognitive attribute in support of prosocial behaviors.  ... 
doi:10.1016/j.jhevol.2017.11.009 pmid:29477181 pmcid:PMC5861993 fatcat:2bd3g4feo5adnlbw3wwxwmuhpq

Towards Cognitive Robotics: Robotics, Biology and Developmental Psychology [chapter]

Mark Lee, Ulrich Nehmzow, Marcos Rodriguez
2012 The Complex Mind  
The question of how "intelligent" controllers can be designed for machines has always attracted much interest and research activity.  ...  cognitive science, ethology, and even evolutionary theory.  ...  Acknowledgements The early joint work reported in section 3 was carried out between 1993 and 1996 and was supported by the MRC through grant G9110835/G9125255 entitled "Cognitive Modelling and the Design  ... 
doi:10.1057/9780230354456_6 fatcat:via6nfv37rctlihwpmptj54dxm

Towards a Darwinian Approach to Mathematics

Helen De Cruz
2006 Foundations of Science  
In the past decades, recent paradigm shifts in ethology, psychology, and the social sciences have given rise to various new disciplines like cognitive ethology and evolutionary psychology.  ...  domain of knowledge, hard-wired in the brain, which can be explained as the result of natural selection.  ...  Conversely, if a part of a machine doesn't work, and there is a flaw in the working of the machine, it can tell you what that part is for.  ... 
doi:10.1007/s10699-004-5916-z fatcat:o6jnys73bbbvjoom6mdj6ndg3a

Incremental Environmental Monitoring for Revealing the Ecology of Endangered Fish

Yoshinari SHIRAI, Yasue KISHINO, Shin MIZUTANI, Yutaka YANAGISAWA, Takayuki SUYAMA, Takuma OTSUKA, Tadao KITAGAWA, Futoshi NAYA
2018 IEICE transactions on communications  
monitoring, sensor networks, annotation tools, computational ethology  ...  We also describe the current state of monitoring the behavior and habitat of endangered fish and discuss solutions for making such environmental monitoring more efficient in the field. key words: environmental  ...  Hinako Matsumoto, Faculty of Agriculture, Kindai University, who helped with the analysis of video in Phase 2.  ... 
doi:10.1587/transcom.2017nei0003 fatcat:s67jzpsaojhqnlhkbl47mijal4

Natural search algorithms as a bridge between organisms, evolution, and ecology

Andrew M. Hein, Francesco Carrara, Douglas R. Brumley, Roman Stocker, Simon A. Levin
2016 Proceedings of the National Academy of Sciences of the United States of America  
The study of natural search algorithms presents a fertile research frontier that merges ideas and techniques from neuroscience, biophysics, and ethology.  ...  as diverse as human cells, bacteria, flies, and schooling fish in quantitative terms.  ... 
doi:10.1073/pnas.1606195113 pmid:27496324 pmcid:PMC5003253 fatcat:v7up44q23bcavorzrophxjjqqi

Action and behavior: a free-energy formulation

Karl J. Friston, Jean Daunizeau, James Kilner, Stefan J. Kiebel
2010 Biological cybernetics  
However, recent advances in statistical physics and machine learning point to a simple scheme that enables biological systems to comply with these constraints.  ...  We have previously tried to explain perceptual inference and learning under a free-energy principle that pursues Helmholtz's agenda to understand the brain in terms of energy minimization.  ...  Open Access This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided  ... 
doi:10.1007/s00422-010-0364-z pmid:20148260 fatcat:mdaixqnztvgmbp57b7nx44hc3i
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