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