## Computational Neuroscience: Trends in Research 2004The CNS meetings bring together computational neuroscientists representing many different fields and backgrounds as well as many different experimental preparations and theoretical approaches. The papers published here range from pure experimental neurobiology, to neuro-ethology, mathematics, physics, and engineering. In all cases the research described is focused on understanding how nervous systems compute. The actual subjects of the research include a highly diverse number of preparations, modeling approaches and analysis techniques. Accordingly, this volume reflects the breadth and depth of current research in computational neuroscience taking place throughout the world. |

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### Contents

B Babadi | 7 |

H Johnson and R M Glantz | 13 |

B Mumey A Sarkar T Gedeon A Dimitrov and J Miller | 19 |

F S Chance and A D Reyes | 27 |

N Masuda and K Aihara | 33 |

A Tristan F de Borja Rodriguez E Serrano and P Varona | 41 |

J Kanev G Wenning and K Obermayer | 47 |

A A Lazar | 53 |

Characterization of dendrites as nonlinear computation devices | 581 |

Attention | 599 |

F van der Velde M de Camps and G T van der Voort van der Kleij | 607 |

Eriksson | 625 |

P H E Tiesinga J Fellous E Salinas J V Jose and T J Sejnowski | 641 |

J Lanyon and S L Denham | 655 |

Hippocampus | 669 |

W H Ftemme and W J Wadman | 683 |

J Tyrcha and W B Levy | 59 |

Cortes P L Garrido J Marro and J J Torres | 67 |

K Hamaguchi and K Aihara | 85 |

O Schwartz J R Movellan T Wachtler T D Albright | 99 |

H Goldberg and A G Andreou | 101 |

T Tetzlaff A Morrison T Geisel and M Diesmann | 117 |

Charcos Llorens and E Fransen | 137 |

H Fuji and I Tsuda | 151 |

Garbo A Panarese and S Chillemi | 159 |

Nomura T Aoyagi and T Fukai | 173 |

System dynamics | 191 |

S Nagai | 209 |

P Andras | 223 |

Del Prete and A C C Coolen | 239 |

Wojcik and W A Kaminski | 245 |

T Aoyagi and T Aoki | 259 |

Marinaro and S Scarpetta | 279 |

Kaiser and C C Hilgetag | 297 |

Learning and plasticity | 313 |

Control of network activity through neuronal response modulation | 327 |

GarciaSanchez and R Huerta | 337 |

Y Sakai K Nakano and S Yoshizawa | 351 |

Panchev and S Wermter | 365 |

B H McCormick W Koh Y Choe L C Abbott J Keyser | 379 |

Databases | 380 |

N A B Yousif and M Denham | 393 |

Modeling ion channels from the cricket cereal sensory system | 409 |

Griffin and DM Halliday | 423 |

Does a dendritic democracy need a ruler? | 437 |

H G E Hentschel C S Pencea and A Fine | 455 |

Bykhovskaia and E Polagavea | 469 |

O Shefi A Harel D B Chklovskii E BenJacob and A Ayali | 487 |

S Sakatani and A Hirose | 503 |

Motor system | 517 |

R Latorre F de Borja Rodriguez and P Varona | 535 |

P Varona R Levi Y I Arshavsky M I Rabinovich and A I Selverston | 549 |

Cerebellum | 563 |

P Aguiar and D Willshaw | 699 |

F Saraga and F K Skinner | 713 |

Memory | 726 |

J B Caplan | 739 |

B Gutkin T Hely and J Jost | 753 |

Bentley and E Salinas | 769 |

G A Rousselet M J M Mace and M FabreThorpe | 783 |

A Hyvarinen J Hurri and J Vayrynen | 801 |

J Hurri J Vayrynen and A Hyvarinen | 815 |

Stetter and E W Lang | 835 |

R Kelly and T S | 849 |

S P Sabatini and F Solari | 865 |

Medina J R Jimenez and L Jimenez del Barco | 879 |

Spike count distributions factorizability and contextual effects | 893 |

H H Yu and V R de | 909 |

T Vieville and S Crahay | 923 |

A Maye and M Werning | 941 |

Volgushev J Pernberg and U T Eysel | 957 |

U A Ernst S Mandon K R Pawelzik and A K Kreiter | 971 |

J A Bednar and R Miikkulainen | 985 |

Auditory system | 993 |

B J Fischer and C H Anderson | 1007 |

O Kliper D Horn B Quenet and G Dror | 1027 |

A Borisyuk and B H Smith | 1041 |

Robots and silicon neurons | 1057 |

Computational efficiency circuitry for detecting shadows in hexago | 1073 |

H Cornells and E De Schutter | 1079 |

S Usui I Yamaguchi H Ikeno K Takebe Y Fuji and Y Okumura | 1097 |

Discrete event simulation in the NEURON environment | 1117 |

P Pinero P Garcia L Arco A Alvarez M M Garcia | 1137 |

A Vato L Bonzano M Chiappalone S Cicero F Morabito | 1153 |

S Dixit and K Mosier | 1163 |

OConnor and P A Robinson | 1181 |

Bojak D T J Liley P J Cadusch and K Cheng | 1197 |

1211 | |

### Common terms and phrases

action potential activity algorithm amplitude analysis axon B.V. All rights behavior biological brain burst Ca2+ calcium channels circuit conductance connections correlation Corresponding author cortical dendritic density distribution dynamics E-mail address effect electrical coupling electrical synapses Elsevier B.V. ELSEVIER Neurocomputing 58-60 encoding EPSP equation excitatory experimental filters firing rate frequency front matter function gap junctions Gaussian Hebbian learning hippocampal increase inhibition inhibitory injected integrate-and-fire neurons interactions interneurons interval intracellular Keywords layer learning measured mechanisms membrane potential modulation neocortex Neural Comput neural networks Neurophysiol Neurosci noise oscillations oscillatory output parameters pattern phase pool population postsynaptic presynaptic processing pyramidal cells pyramidal neurons random receptive fields response reversal potential rights reserved Science sensory shows signal simple cells simulations soma sparse coding spatial spike train spiking neurons stimulus stochastic synaptic input synaptic plasticity synchronous target temporal threshold University values variable vesicles www.elsevier.com/locate/neucom