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