Mechanisms, Symbols, and Models Underlying Cognition

Computational Neuroscience

1. On the Use of the Computational Paradigm in Neurophysiology and Cognitive Science

   • José Mira Mira

   Pages 1-15

2. Modules, Layers, Hierarchies, and Loops Where Artificial Intelligence Meets Ethology and Neuroscience – In Context of Action Selection

   • Pinar Öztürk

   Pages 16-26

3. A Unified Perspective on Explaining Dynamics by Anticipatory State Properties

   • Jan Treur

   Pages 27-37

4. A Novel Intrinsic Wave Phenomenon in Low Excitable Biological Media

   • Roustem Miftahof

   Pages 38-47

5. Conceptual Idea of Natural Mechanisms of Recognition, Purposeful Thinking and Potential of Its Technical Application

   • Zinoviy L. Rabinovich, Yuriy A. Belov

   Pages 48-57

6. Simulation of Orientation Contrast Sensitive Cell Behavior in TiViPE

   • Tino Lourens, Emilia Barakova

   Pages 58-67

7. Formulation and Validation of a Method for Classifying Neurons from Multielectrode Recordings

   • M. P. Bonomini, J. M. Ferrandez, J. A. Bolea, E. Fernandez

   Pages 68-76

8. Gap-Junctions Promote Synchrony in a Network of Inhibitory Interneurons in the Presence of Heterogeneities and Noise

   • Santi Chillemi, Alessandro Panarese, Michele Barbi, Angelo Di Garbo

   Pages 77-85

9. A Conceptual Model of Amphibian’s Tectum Opticum with Probabilistic Coded Outputs

   • Arminda Moreno-Díaz, Gabriel de Blasio, Roberto Moreno-Díaz

   Pages 86-94

10. Realistic Stimulation Through Advanced Dynamic-Clamp Protocols

    • Carlos Muñiz, Sara Arganda, Francisco de Borja Rodríguez, Gonzalo G. de Polavieja

    Pages 95-105

11. Interacting Slow and Fast Dynamics in Precise Spiking-Bursting Neurons

    • Fabiano Baroni, Joaquin J. Torres, Pablo Varona

    Pages 106-115

12. An Integral Model of Spreading Depression: From Neuron Channels to Field Potentials

    • Ioulia Makarova, Iria R. Cepeda, Fivos Panetsos, Oscar Herreras

    Pages 116-122

13. Separation of Extracellular Spikes: When Wavelet Based Methods Outperform the Principle Component Analysis

    • Alexey Pavlov, Valeri A. Makarov, Ioulia Makarova, Fivos Panetsos

    Pages 123-132

14. Structural Statistical Properties of the Connectivity Could Underlie the Difference in Activity Propagation Velocities in Visual and Olfactory Cortices

    • Mavi Sanchez-Vives, Albert Compte

    Pages 133-142

15. Rules and Roles of Dendritic Spikes in CA1 Pyramidal Cells: A Computational Study

    • José M. Ibarz, Ioulia Makarova, Iria R. Cepeda, Oscar Herreras

    Pages 143-149

16. Slow Conductances Encode Stimulus History into Spike Shapes

    • Gonzalo G. de Polavieja, Annette Harsch, Hugh Robinson, Mikko Juusola

    Pages 150-155

17. Comparison of Plasticity of Self-optimizing Neural Networks and Natural Neural Networks

    • Adrian Horzyk, Ryszard Tadeusiewicz

    Pages 156-165

18. Evaluation of Neuronal Firing Densities via Simulation of a Jump-Diffusion Process

    • A. Di Crescenzo, E. Di Nardo, L. M. Ricciardi

    Pages 166-175

19. Gaussian Processes and Neuronal Modeling

    • Elvira Di Nardo, Amelia G. Nobile, Enrica Pirozzi, Luigi M. Ricciardi

    Pages 176-185