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Erratum to: Journal of Computational Neuroscience, DOI 10.1007/s10827-010-0303-y and DOI 10.1007/s10827-010-0304-x
2011
Journal of Computational Neuroscience
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Erratum to: Passive and active shaping of unitary responses from associational/commissural and perforant path synapses in hippocampal CA3 pyramidal cells J Comput Neurosci A computer model of unitary responses ...
from associational/ commissural and perforant path synapses in hippocampal CA3 pyramidal cells J Comput Neurosci (2011) 31:137-158 ...
Due to a publisher error, "A computer model of unitary responses from associational/commissural and perforant path synapses in hippocampal CA3 pyramidal cells" (Baker et al.), the second in a series of ...
doi:10.1007/s10827-011-0364-6
fatcat:j5tqt6gwhfdvll3ahoxzlyhzwm
30th Annual Computational Neuroscience Meeting: CNS*2021–Meeting Abstracts
2021
Journal of Computational Neuroscience
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One of the goals of neuroscience is to understand the computational principles that describe the formation of behaviorally relevant signals in the brain, as well as how these computations are realized ...
within the constraints of biological networks. ...
Compute time: grant JINB33 ...
doi:10.1007/s10827-021-00801-9
pmid:34931275
pmcid:PMC8687879
fatcat:evpmmfpaivgpxdqpive5xdgmwu
A personal view of the early development of computational neuroscience in the USA
2010
Frontiers in Computational Neuroscience
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In the half-century since the seminal Hodgkin-Huxley papers were published, computational neuroscience has become an established discipline, evolving from computer modeling of neurons to attempts to understand ...
the computational functions of the brain. ...
In retrospect I realize that I witnessed, intimately, the beginning of the field of computational neuroscience. ...
doi:10.3389/fncom.2010.00020
pmid:20725511
pmcid:PMC2906216
fatcat:nlx6sfjfcredxecvzebkp7bmay
Methods for computational neuroscience
2008
Journal of Neuroscience Methods
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Computational neuroscience, and more generally theoretical neuroscience, has traditionally been looked at with some scepticism by the experimental neuroscience community. ...
The goal of this Special Issue on "Methods for Computational Neuroscience" is precisely to overview such computational methods that are directly applicable to experimental data. ...
doi:10.1016/j.jneumeth.2008.01.025
pmid:18353442
fatcat:o6b7k6coxrdmxij2iz64gnxuqy
Computational principles of movement neuroscience
2000
Nature Neuroscience
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1212 nature neuroscience supplement • volume 3 • november 2000 review The computational study of motor control is fundamentally concerned with the relationship between sensory signals and motor commands ...
Our goal is to demonstrate how specific models emerging from the computational approach provide a theoretical framework for movement neuroscience. ...
review The computational study of motor control is fundamentally concerned with the relationship between sensory signals and motor commands. ...
doi:10.1038/81497
pmid:11127840
fatcat:eekwj7tlijc5ledmjuryg4ry6e
The Need for the Emergence of Mathematical Neuroscience: Beyond Computation and Simulation
2011
Frontiers in Computational Neuroscience
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The computational neuroscience literature is full of beautifully mathematically constructed models that have had minimal impact on main stream neuroscience or our understanding of brain function because ...
Computational neuroscience, broadly defined, is the mathematical and physical modeling of neural processes at a specific chosen scale, from molecular and cellular to systems, for the purpose of understanding ...
neuroscience: beyond computation and simulation. ...
doi:10.3389/fncom.2011.00051
pmid:22131972
pmcid:PMC3223358
fatcat:kcgzipo5lnbzng7pehidnyckea
ModelDB: A Database to Support Computational Neuroscience
2004
Journal of Computational Neuroscience
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Wider dissemination and testing of computational models are crucial to the field of computational neuroscience. Databases are being developed to meet this need. ...
ModelDB is a web-accessible database for convenient entry, retrieval, and running of published models on different platforms. This article provides a guide to entering a new model into ModelDB. ...
Partial support from the Institute of Biophysics (National Research Council, Italy) for MM is also acknowledged. ...
doi:10.1023/b:jcns.0000023869.22017.2e
pmid:15218350
pmcid:PMC3732827
fatcat:p54mq4hr5zh55dfqeotbjvthee
The roles of computation and experiment in neuroscience
2002
Nature Neuroscience
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Neuroscience of Vision. ...
The roles of computation and experiment in neuroscience Edmund Rolls and Gustavo Deco offer the promise of theory to solve important problems in visual object recognition and selective attention in Computational ...
doi:10.1038/nn0802-717
fatcat:rm2fgxh74jcmncxqw24ynastl4
:{unav)
2012
Journal of Computational Neuroscience
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The dynamics of networks of sparsely connected excitatory and inhibitory integrate-and-fire neurons are studied analytically. ...
Two types of network oscillations are observed. In the fast oscillatory state, the network frequency is almost fully controlled by the synaptic time scale. ...
Computation of the first moment yields µ 1 = 1/ν 0 , where ν 0 is given by Eq. (21) . The computation of the second moment gives µ 2 = µ 2 1 + 2π y θ y r e x 2 dx x −∞ e y 2 (1 + erfy) 2 dy. ...
doi:10.1023/a:1008925309027
pmid:10809012
fatcat:rpof7xbj7rbwtmcge553eskvpy
:{unav)
2012
Journal of Computational Neuroscience
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Hodgkin and Huxley provided the first quantitative description of voltage-dependent currents and adjusted their model to experimental data using empirical functions of voltage. ...
We illustrate their applicability to fit experimental data by considering the case of the T-type calcium current in thalamic neurons. ...
Acknowledgments Research supported by grants from the Medical Research Council of Canada and the National Institutes of Health.
Notes 1. ...
doi:10.1023/a:1026535704537
fatcat:vjnsbtsfvrgltave374r6fiufm
Computational Foundations of Natural Intelligence
2017
Frontiers in Computational Neuroscience
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After reviewing basic principles, a variety of computational modeling approaches is discussed. ...
This paper reviews some of the computational principles relevant for understanding natural intelligence and, ultimately, achieving strong AI. ...
His work gave rise to the field of computational neuroscience and has been highly influential in shaping ideas about neural information processing (Willshaw et al., 2015) . ...
doi:10.3389/fncom.2017.00112
pmid:29375355
pmcid:PMC5770642
fatcat:msvy2ut7dvcvpinop2uqvldtfu
Information theory in neuroscience
2011
Journal of Computational Neuroscience
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neural systems for communication, computation and behavior. ...
A third thread, "Reliable Computation with Noisy/Faulty Elements", started both in the information-theoretic community (Shannon and McCarthy 1956 ) and neuroscience (Winograd and Cowan 1963) . ...
doi:10.1007/s10827-011-0314-3
pmid:21279429
pmcid:PMC3736735
fatcat:2onsmdpgpfe7vfyvzredzd2c3m
(Unlimited ebook) Biophysics of Computation: Information Processing in Single Neurons (Computational Neuroscience Series) [Full]
2020
Zenodo
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of Computation: Information Processing in Single Neurons (Computational Neuroscience Series) Biophysics of Computation: Information Processing in Single Neurons (Computational Neuroscience Series) pdf ...
(Computational Neuroscience Series) pdf Biophysics of Computation: Information Processing in Single Neurons (Computational Neuroscience Series) amazon Biophysics of Computation: Information Processing ...
Single Neurons (Computational Neuroscience Series) Biophysics of Computation: Information Processing in Single Neurons (Computational Neuroscience Series) pdf download Biophysics of Computation: Information ...
doi:10.5281/zenodo.4186449
fatcat:cxhjoy2l3zba7j4iehi43ml3nu
:{unav)
2012
Journal of Computational Neuroscience
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That is, learning entails associating the relationships among a sequence of places that are represented by a sequence of place cell firing. ...
The amount of compression is proportional to the activity level during recall and to the relative timespan of associativity during learning. ...
Acknowledgments This work was supported in part by NIH MH10702 to DAA, by NIH MH48161, MH00622, EPRI RP8030-08, and Pittsburgh Supercomputing Center Grant BNS950001 to WBL, and by the Department of Neurosurgery ...
doi:10.1023/a:1008861001091
fatcat:v6gkvvdiovenjinlddwafja3sq
:{unav)
2012
Journal of Computational Neuroscience
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We verify the existence of this transition from in vitro recordings of a number of actual pyramidal cells. ...
We introduce the concept of "type I burst excitability", which is a generalization of the "normal" excitability that is well-known in cardiac and neural systems. ...
Section 6 contains an analysis of some of the properties of excitability, as derived from the normal form of the saddle-node bifurcation, and numerical verification of these results for both the low-dimensional ...
doi:10.1023/a:1023269128622
fatcat:gyu3jlpbyret5gl2lkwhf6pzbm
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