Change Point Distribution Estimation In Animal Learning Experiments PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Change Point Distribution Estimation In Animal Learning Experiments PDF full book. Access full book title Change Point Distribution Estimation In Animal Learning Experiments.
Author | : Xiaodong Li |
Publisher | : |
Total Pages | : 0 |
Release | : 2010 |
Genre | : |
ISBN | : |
Download Change-point distribution estimation in animal learning experiments Book in PDF, ePub and Kindle
Author | : Cédric Sueur |
Publisher | : Frontiers Media SA |
Total Pages | : 125 |
Release | : 2017-03-14 |
Genre | : Science |
ISBN | : 2889451224 |
Download Social Interaction in Animals: Linking Experimental Approach and Social Network Analysis Book in PDF, ePub and Kindle
Understanding the link between individual behaviour and population organization and functioning has long been central to ecology and evolutionary biology. Behaviour is a response to intrinsic and extrinsic factors including individual state, ecological factors or social interactions. Within a group, each individual can be seen as part of a network of social interactions varying in strength, type and dynamic. The structure of this network can deeply impact the ecology and evolution of individuals, populations and species. Within a group social interactions can take many forms and may significantly affect an individual’s fitness. These interactions may result in complex systems at the group-level, such as in the case of collective decisions (to migrate, to build nest or to forage). Among them, social transmission of information has been studied mostly in vertebrates: fish, birds and mammals including humans. In insects, social learning has been unambiguously demonstrated in social Hymenoptera but this probably reflects limited research effort and recent evidence show that even non-eusocial insects such as Drosophila, cockroaches and crickets can copy the behaviour of others. Compared to individual learning, which requires a trial and error period every generation, social learning can potentially result in the stable transmission of behaviours across generations, leading to cultural traditions in some species. The study of the processes which may facilitate or prevent this transmission and the analyses of the relationship between social network structure and efficiency of social transmission became these recent years an emerging and promising field of research. The goal of this research topic is to present the genetic and socio-environmental factors affecting social interaction and information or pathogen transmission with the integration of experimental approaches, social network analyses and modelling. Importantly, we aim to understand whether a relationship between social network structures and dynamics can reflect the efficiency of social transmission, i.e. can we use social network analysis to predict the social transmission of information or of pathogen, collective decision-making and ultimately the evolutionary trajectory of a group?
Author | : Zhe Chen |
Publisher | : Cambridge University Press |
Total Pages | : 397 |
Release | : 2015-10-15 |
Genre | : Computers |
ISBN | : 1107079195 |
Download Advanced State Space Methods for Neural and Clinical Data Book in PDF, ePub and Kindle
An authoritative and in-depth treatment of state space methods, with a range of applications in neural and clinical data.
Author | : |
Publisher | : Academic Press |
Total Pages | : 3052 |
Release | : 2019-01-21 |
Genre | : Science |
ISBN | : 0128132523 |
Download Encyclopedia of Animal Behavior Book in PDF, ePub and Kindle
Encyclopedia of Animal Behavior, Second Edition, Four Volume Set the latest update since the 2010 release, builds upon the solid foundation established in the first edition. Updated sections include Host-parasite interactions, Vertebrate social behavior, and the introduction of ‘overview essays’ that boost the book's comprehensive detail. The structure for the work is modified to accommodate a better grouping of subjects. Some chapters have been reshuffled, with section headings combined or modified. Represents a one-stop resource for scientifically reliable information on animal behavior Provides comparative approaches, including the perspective of evolutionary biologists, physiologists, endocrinologists, neuroscientists and psychologists Includes multimedia features in the online version that offer accessible tools to readers looking to deepen their understanding
Author | : Ann V. Hedrick |
Publisher | : Frontiers Media SA |
Total Pages | : 107 |
Release | : 2017-04-17 |
Genre | : |
ISBN | : 2889451518 |
Download The Development of Animal Personality Book in PDF, ePub and Kindle
Although the topic of animal personality has recently generated much interest, the role of development is little understood. This collection of papers deals with the development of animal personality. Topics include the roles of genetic effects, maternal effects, social partners, predation and parasitism risk, and environmental complexity in the development of personality, the effects of personality on survival, and the development of collective personality and movement as a driver of personality development. The organisms covered include insects, spiders, fishes, and birds. This volume illustrates the diversity of approaches that have shed light on the development of animal personality in the past several years.
Author | : |
Publisher | : |
Total Pages | : 1170 |
Release | : 1988 |
Genre | : Electronic journals |
ISBN | : |
Download Journal of the Experimental Analysis of Behavior Book in PDF, ePub and Kindle
Author | : Daniel Durstewitz |
Publisher | : Springer |
Total Pages | : 308 |
Release | : 2017-09-15 |
Genre | : Medical |
ISBN | : 3319599763 |
Download Advanced Data Analysis in Neuroscience Book in PDF, ePub and Kindle
This book is intended for use in advanced graduate courses in statistics / machine learning, as well as for all experimental neuroscientists seeking to understand statistical methods at a deeper level, and theoretical neuroscientists with a limited background in statistics. It reviews almost all areas of applied statistics, from basic statistical estimation and test theory, linear and nonlinear approaches for regression and classification, to model selection and methods for dimensionality reduction, density estimation and unsupervised clustering. Its focus, however, is linear and nonlinear time series analysis from a dynamical systems perspective, based on which it aims to convey an understanding also of the dynamical mechanisms that could have generated observed time series. Further, it integrates computational modeling of behavioral and neural dynamics with statistical estimation and hypothesis testing. This way computational models in neuroscience are not only explanatory frameworks, but become powerful, quantitative data-analytical tools in themselves that enable researchers to look beyond the data surface and unravel underlying mechanisms. Interactive examples of most methods are provided through a package of MatLab routines, encouraging a playful approach to the subject, and providing readers with a better feel for the practical aspects of the methods covered. "Computational neuroscience is essential for integrating and providing a basis for understanding the myriads of remarkable laboratory data on nervous system functions. Daniel Durstewitz has excellently covered the breadth of computational neuroscience from statistical interpretations of data to biophysically based modeling of the neurobiological sources of those data. His presentation is clear, pedagogically sound, and readily useable by experts and beginners alike. It is a pleasure to recommend this very well crafted discussion to experimental neuroscientists as well as mathematically well versed Physicists. The book acts as a window to the issues, to the questions, and to the tools for finding the answers to interesting inquiries about brains and how they function." Henry D. I. Abarbanel Physics and Scripps Institution of Oceanography, University of California, San Diego “This book delivers a clear and thorough introduction to sophisticated analysis approaches useful in computational neuroscience. The models described and the examples provided will help readers develop critical intuitions into what the methods reveal about data. The overall approach of the book reflects the extensive experience Prof. Durstewitz has developed as a leading practitioner of computational neuroscience. “ Bruno B. Averbeck
Author | : Kenta Asahina |
Publisher | : Frontiers Media SA |
Total Pages | : 162 |
Release | : 2022-08-23 |
Genre | : Science |
ISBN | : 288976401X |
Download Revisiting Behavioral Variability: What It Reveals About Neural Circuit Structure and Function Book in PDF, ePub and Kindle
Author | : Douglas Medin |
Publisher | : John Wiley & Sons |
Total Pages | : 658 |
Release | : 2004-02-05 |
Genre | : Psychology |
ISBN | : 9780471650157 |
Download Stevens' Handbook of Experimental Psychology, Memory and Cognitive Processes Book in PDF, ePub and Kindle
Now available in paperback. This revised and updated edition of the definitive resource for experimental psychology offers comprehensive coverage of the latest findings in the field, as well as the most recent contributions in methodology and the explosion of research in neuroscience. Volume Two: Memory and Cognitive Processes, focuses on the neurological and cognitive processes on topics such as memory, decision-making, spatial cognition, linguistics, reasoning, and concepts.
Author | : Alessandra Lintas |
Publisher | : Springer |
Total Pages | : 815 |
Release | : 2017-10-24 |
Genre | : Computers |
ISBN | : 3319686127 |
Download Artificial Neural Networks and Machine Learning – ICANN 2017 Book in PDF, ePub and Kindle
The two volume set, LNCS 10613 and 10614, constitutes the proceedings of then 26th International Conference on Artificial Neural Networks, ICANN 2017, held in Alghero, Italy, in September 2017. The 128 full papers included in this volume were carefully reviewed and selected from 270 submissions. They were organized in topical sections named: From Perception to Action; From Neurons to Networks; Brain Imaging; Recurrent Neural Networks; Neuromorphic Hardware; Brain Topology and Dynamics; Neural Networks Meet Natural and Environmental Sciences; Convolutional Neural Networks; Games and Strategy; Representation and Classification; Clustering; Learning from Data Streams and Time Series; Image Processing and Medical Applications; Advances in Machine Learning. There are 63 short paper abstracts that are included in the back matter of the volume.