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Author: Cristina Savin Publisher: Frontiers Media SA ISBN: 2889197883 Category : Computational neuroscience Languages : en Pages : 195
Book Description
From the propagation of neural activity through synapses, to the integration of signals in the dendritic arbor, and the processes determining action potential generation, virtually all aspects of neural processing are plastic. This plasticity underlies the remarkable versatility and robustness of cortical circuits: it enables the brain to learn regularities in its sensory inputs, to remember the past, and to recover function after injury. While much of the research into learning and memory has focused on forms of Hebbian plasticity at excitatory synapses (LTD/LTP, STDP), several other plasticity mechanisms have been characterized experimentally, including the plasticity of inhibitory circuits (Kullmann, 2012), synaptic scaling (Turrigiano, 2011) and intrinsic plasticity (Zhang and Linden, 2003). However, our current understanding of the computational roles of these plasticity mechanisms remains rudimentary at best. While traditionally they are assumed to serve a homeostatic purpose, counterbalancing the destabilizing effects of Hebbian learning, recent work suggests that they can have a profound impact on circuit function (Savin 2010, Vogels 2011, Keck 2012). Hence, theoretical investigation into the functional implications of these mechanisms may shed new light on the computational principles at work in neural circuits. This Research Topic of Frontiers in Computational Neuroscience aims to bring together recent advances in theoretical modeling of different plasticity mechanisms and of their contributions to circuit function. Topics of interest include the computational roles of plasticity of inhibitory circuitry, metaplasticity, synaptic scaling, intrinsic plasticity, plasticity within the dendritic arbor and in particular studies on the interplay between homeostatic and Hebbian plasticity, and their joint contribution to network function.
Author: Cristina Savin Publisher: Frontiers Media SA ISBN: 2889197883 Category : Computational neuroscience Languages : en Pages : 195
Book Description
From the propagation of neural activity through synapses, to the integration of signals in the dendritic arbor, and the processes determining action potential generation, virtually all aspects of neural processing are plastic. This plasticity underlies the remarkable versatility and robustness of cortical circuits: it enables the brain to learn regularities in its sensory inputs, to remember the past, and to recover function after injury. While much of the research into learning and memory has focused on forms of Hebbian plasticity at excitatory synapses (LTD/LTP, STDP), several other plasticity mechanisms have been characterized experimentally, including the plasticity of inhibitory circuits (Kullmann, 2012), synaptic scaling (Turrigiano, 2011) and intrinsic plasticity (Zhang and Linden, 2003). However, our current understanding of the computational roles of these plasticity mechanisms remains rudimentary at best. While traditionally they are assumed to serve a homeostatic purpose, counterbalancing the destabilizing effects of Hebbian learning, recent work suggests that they can have a profound impact on circuit function (Savin 2010, Vogels 2011, Keck 2012). Hence, theoretical investigation into the functional implications of these mechanisms may shed new light on the computational principles at work in neural circuits. This Research Topic of Frontiers in Computational Neuroscience aims to bring together recent advances in theoretical modeling of different plasticity mechanisms and of their contributions to circuit function. Topics of interest include the computational roles of plasticity of inhibitory circuitry, metaplasticity, synaptic scaling, intrinsic plasticity, plasticity within the dendritic arbor and in particular studies on the interplay between homeostatic and Hebbian plasticity, and their joint contribution to network function.
Author: Alessandro E.P. Villa Publisher: Springer ISBN: 3319447815 Category : Computers Languages : en Pages : 580
Book Description
The two volume set, LNCS 9886 + 9887, constitutes the proceedings of the 25th International Conference on Artificial Neural Networks, ICANN 2016, held in Barcelona, Spain, in September 2016. The 121 full papers included in this volume were carefully reviewed and selected from 227 submissions. They were organized in topical sections named: from neurons to networks; networks and dynamics; higher nervous functions; neuronal hardware; learning foundations; deep learning; classifications and forecasting; and recognition and navigation. There are 47 short paper abstracts that are included in the back matter of the volume.
Author: Nancy Ogden Publisher: John Wiley & Sons ISBN: 111964531X Category : Psychology Languages : en Pages : 930
Book Description
Psychology Around Us, Fourth Canadian Edition offers students a wealth of tools and content in a structured learning environment that is designed to draw students in and hold their interest in the subject. Psychology Around Us is available with WileyPLUS, giving instructors the freedom and flexibility to tailor curated content and easily customize their course with their own material. It provides today's digital students with a wide array of media content — videos, interactive graphics, animations, adaptive practice — integrated at the learning objective level to provide students with a clear and engaging path through the material. Psychology Around Us is filled with interesting research and abundant opportunities to apply concepts in a real-life context. Students will become energized by the material as they realize that Psychology is "all around us."
Author: Melanie A. Woodin Publisher: Springer Science & Business Media ISBN: 1441969780 Category : Medical Languages : en Pages : 191
Book Description
This volume will explore the most recent findings on cellular mechanisms of inhibitory plasticity and its functional role in shaping neuronal circuits, their rewiring in response to experience, drug addiction and in neuropathology. Inhibitory Synaptic Plasticity will be of particular interest to neuroscientists and neurophysiologists.
Author: Stefan Wermter Publisher: Springer ISBN: 3540445978 Category : Computers Languages : en Pages : 587
Book Description
It is generally understood that the present approachs to computing do not have the performance, flexibility, and reliability of biological information processing systems. Although there is a comprehensive body of knowledge regarding how information processing occurs in the brain and central nervous system this has had little impact on mainstream computing so far. This book presents a broad spectrum of current research into biologically inspired computational systems and thus contributes towards developing new computational approaches based on neuroscience. The 39 revised full papers by leading researchers were carefully selected and reviewed for inclusion in this anthology. Besides an introductory overview by the volume editors, the book offers topical parts on modular organization and robustness, timing and synchronization, and learning and memory storage.
Author: Julia Karbach Publisher: Frontiers E-books ISBN: 2889191451 Category : Languages : en Pages : 208
Book Description
Throughout the entire lifespan, individuals are required to adapt to the demands of changing developmental contexts and dynamic social environments. The potential modifiability of a person's cognitive and neural processes has been referred to as plasticity. One way to assess cognitive and neural plasticity is to apply training interventions and to measure the related changes in trained and untrained situations. Over the last decade, the literature on the effects of cognitive interventions has been growing rapidly, oftentimes focusing on the magnitude, scope, and maintenance of training-related benefits and their transferability to untrained tasks and abilities. Recent studies show that plasticity is present across the lifespan, although it seems to decline in older age, and that the long-term maintenance as well as the transferability of training gains strongly depends on the type and the intensity of the intervention. The findings from behavioral cognitive training research have also been accompanied by findings from cognitive neuroscience. The related observations oftentimes point to training-induced changes in a number of cortical and subcortical regions, which may be responsible for the magnitude of training and of transfer effects. Thus, cognitive training may be a promising tool for understanding basic mechanisms of adaptive behavior on the one hand and for designing applications and interventions within different disciplines in psychology on the other hand. However, not all studies have consistently shown beneficial effects of cognitive training and some questions that are critical for our understanding of plasticity are still unanswered. What are the key processes mediating training effects on laboratory tasks and in real world situations? Which characteristics of the training process and of the trainings situations mediate transfer effects? Are training effects subject to age-related changes? How are training-induced neural changes in the brain related to improvements in cognitive performance? How effective are training interventions in patients with specific cognitive impairments? To what extent can age-related cognitive decline be compensated by means of cognitive training? The focus of this Research Topic is on training-induced cognitive and neural plasticity across the lifespan. The goal is to provide a broad scope of state-of-the art research in order to enhance our knowledge regarding the mechanisms underlying plasticity. We invite contributions applying behavioral, computational, and neuroscientific approaches, reviews, and theoretical contributions. Contributions are also welcomed if they focus on the implications of cognitive training in applied fields like educational and clinical settings as well as rehabilitation and training science.
Author: Brian MacWhinney Publisher: Psychology Press ISBN: 1135676925 Category : Psychology Languages : en Pages : 519
Book Description
For nearly four centuries, our understanding of human development has been controlled by the debate between nativism and empiricism. Nowhere has the contrast between these apparent alternatives been sharper than in the study of language acquisition. However, as more is learned about the details of language learning, it is found that neither nativism nor empiricism provides guidance about the ways in which complexity arises from the interaction of simpler developmental forces. For example, the child's first guesses about word meanings arise from the interplay between parental guidance, the child's perceptual preferences, and neuronal support for information storage and retrieval. As soon as the shape of the child's lexicon emerges from these more basic forces, an exploration of "emergentism" as a new alternative to nativism and empiricism is ready to begin. This book presents a series of emergentist accounts of language acquisition. Each case shows how a few simple, basic processes give rise to new levels of language complexity. The aspects of language examined here include auditory representations, phonological and articulatory processes, lexical semantics, ambiguity processing, grammaticality judgment, and sentence comprehension. The approaches that are invoked to account formally for emergent patterns include neural network theory, dynamic systems, linguistic functionalism, construction grammar, optimality theory, and statistically-driven learning. The excitement of this work lies both in the discovery of new emergent patterns and in the integration of theoretical frameworks that can formalize the theory of emergentism.
Author: Stefan Wermter Publisher: Springer ISBN: 9783540423638 Category : Computers Languages : en Pages : 582
Book Description
It is generally understood that the present approachs to computing do not have the performance, flexibility, and reliability of biological information processing systems. Although there is a comprehensive body of knowledge regarding how information processing occurs in the brain and central nervous system this has had little impact on mainstream computing so far. This book presents a broad spectrum of current research into biologically inspired computational systems and thus contributes towards developing new computational approaches based on neuroscience. The 39 revised full papers by leading researchers were carefully selected and reviewed for inclusion in this anthology. Besides an introductory overview by the volume editors, the book offers topical parts on modular organization and robustness, timing and synchronization, and learning and memory storage.
Author: Cristina Savin
Author: Cristina Savin
Author: Alessandro E.P. Villa
Author: Nancy Ogden
Author: Melanie A. Woodin
Author: Stefan Wermter
Author: Axel Sandvig
Author: Erika Covi
Author: Julia Karbach
Author: Brian MacWhinney
Author: Stefan Wermter