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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

John L. Baker, Tamara Perez-Rosello, Michele Migliore, Germán Barrionuevo, Giorgio A. Ascoli
2011 Journal of Computational Neuroscience  
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  
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

Moore
2010 Frontiers in Computational Neuroscience  
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

Alain Destexhe, Vincenzo Crunelli
2008 Journal of Neuroscience Methods  
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

Daniel M. Wolpert, Zoubin Ghahramani
2000 Nature Neuroscience  
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

Gabriel A. Silva
2011 Frontiers in Computational Neuroscience  
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

Michael L. Hines, Thomas Morse, Michele Migliore, Nicholas T. Carnevale, Michael L. Hines
2004 Journal of Computational Neuroscience  
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  
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

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Nicolas Brunel
2012 Journal of Computational Neuroscience  
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

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Alain Destexhe
2012 Journal of Computational Neuroscience  
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

Marcel van Gerven
2017 Frontiers in Computational Neuroscience  
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

Alexander G. Dimitrov, Aurel A. Lazar, Jonathan D. Victor
2011 Journal of Computational Neuroscience  
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]

(Unlimited Ebook) Biophysics Of Computation: Information Processing In Single Neurons (Computational Neuroscience Series) [Full]
2020 Zenodo  
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

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D.A. August, W.B Levy
2012 Journal of Computational Neuroscience  
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

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Carlo R. Laing
2012 Journal of Computational Neuroscience  
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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