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ORCIDNeural Networks, Volume 47
Volume 47, November 2013
- Dieter Jaeger
, Henrik Jörntell, Mitsuo Kawato:
Computation in the Cerebellum. 1-2 - Erik De Schutter:
The importance of stochastic signaling processes in the induction of long-term synaptic plasticity. 3-10 - Kazuo Kitamura, Masanobu Kano:
Dendritic calcium signaling in cerebellar Purkinje cell. 11-17 - Jordan D. T. Engbers, Fernando R. Fernandez, Ray W. Turner:
Bistability in Purkinje neurons: Ups and downs in cerebellar research. 18-31 - Taegon Kim, Keiko Tanaka-Yamamoto:
Mechanisms producing time course of cerebellar long-term depression. 32-35 - Michisuke Yuzaki:
Cerebellar LTD vs. motor learning - Lessons learned from studying GluD2. 36-41 - Isao T. Tokuda, Huu Hoang, Nicolas Schweighofer, Mitsuo Kawato:
Adaptive coupling of inferior olive neurons in cerebellar learning. 42-50 - Miho Onizuka, Huu Hoang, Mitsuo Kawato, Isao T. Tokuda, Nicolas Schweighofer, Yuichi Katori, Kazuyuki Aihara, Eric J. Lang, Keisuke Toyama:
Solution to the inverse problem of estimating gap-junctional and inhibitory conductance in inferior olive neurons from spike trains by network model simulation. 51-63 - Ivan Herreros, Paul F. M. J. Verschure:
Nucleo-olivary inhibition balances the interaction between the reactive and adaptive layers in motor control. 64-71 - Soichi Nagao, Takeru Honda, Tadashi Yamazaki:
Transfer of memory trace of cerebellum-dependent motor learning in human prism adaptation: A model study. 72-80 - Germund Hesslow, Dan-Anders Jirenhed, Anders Rasmussen, Fredrik Johansson:
Classical conditioning of motor responses: What is the learning mechanism? 81-87 - Fredrik Bengtsson, Pontus Geborek, Henrik Jörntell:
Cross-correlations between pairs of neurons in cerebellar cortex in vivo. 88-94 - Wen-Ke Li, Matthew J. Hausknecht, Peter Stone, Michael D. Mauk:
Using a million cell simulation of the cerebellum: Network scaling and task generality. 95-102 - Tadashi Yamazaki, Jun Igarashi:
Realtime cerebellum: A large-scale spiking network model of the cerebellum that runs in realtime using a graphics processing unit. 103-111 - Volker Steuber, Dieter Jaeger:
Modeling the generation of output by the cerebellar nuclei. 112-119 - Kieran Bol, Gary Marsat, Jorge F. Mejías, Leonard Maler, André Longtin:
Modeling cancelation of periodic inputs with burst-STDP and feedback. 120-133 - John Porrill, Paul Dean, Sean R. Anderson:
Adaptive filters and internal models: Multilevel description of cerebellar function. 134-149
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