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Home > Artificial Neural Networks and Machine Learning -- ICANN 2012: 22nd International Conference on Artificial Neural Networks, Lausanne, Switzerland, September 11-14, 2012, Proceedings, Part I > Kinetic Modelling of Synaptic Functions in the Alpha Rhythm Neural Mass Model
Artificial Neural Networks and Machine Learning -- ICANN 2012: 22nd International Conference on Artificial Neural Networks, Lausanne, Switzerland, September 11-14, 2012, Proceedings, Part I |
Alessandro Villa; Wlodzislaw Duch; Peter Erdi; Francesco Masulli; Günther Palm
Springer Berlin Heidelberg
Artificial Neural Networks and Machine Learning -- ICANN 2012: 22nd International Conference on Artificial Neural Networks, Lausanne, Switzerland, September 11-14, 2012, Proceedings, Part I
Kinetic Modelling of Synaptic Functions in the Alpha Rhythm Neural Mass Model
Authors

Basabdatta Sen Bhattacharya; Damien Coyle; Liam P. Maguire; Jill Stewart

ARI Id

1664727649875_2960652

Access

Not Available Free

Pages

645-652

DOI

10.1007/978-3-642-33269-2_81

Chapter URL

https://rd.springer.com/chapter/10.1007/978-3-642-33269-2_81

Table of Contents of Book
Showing 1 to 20 of 93 entries
Chapters/HeadingsAuthor(s)PagesInfo
Front Matter
Temporal Patterns in Artificial Reaction Networks
Claire Gerrard; John McCall; George M. Coghill; Christopher Macleod
1-8
Properties of the Hopfield Model with Weighted Patterns
Iakov Karandashev; Boris Kryzhanovsky; Leonid Litinskii
9-16
Dynamics and Oscillations of GHNNs with Time-Varying Delay
Farouk Chérif
17-24
A Dynamic Field Architecture for the Generation of Hierarchically Organized Sequences
Boris Durán; Yulia Sandamirskaya; Gregor Schöner
25-32
Stochastic Techniques in Influence Diagrams for Learning Bayesian Network Structure
Michal Matuszak; Jacek Miękisz
33-40
The Mix-Matrix Method in the Problem of Binary Quadratic Optimization
Iakov Karandashev; Boris Kryzhanovsky
41-48
A Rule Chaining Architecture Using a Correlation Matrix Memory
James Austin; Stephen Hobson; Nathan Burles; Simon O’Keefe
49-56
A Generative Multiset Kernel for Structured Data
Davide Bacciu; Alessio Micheli; Alessandro Sperduti
57-64
Spectral Signal Unmixing with Interior-Point Nonnegative Matrix Factorization
Rafal Zdunek
65-72
Hybrid Optimized Polynomial Neural Networks with Polynomial Neurons and Fuzzy Polynomial Neurons
Dan Wang; Donghong Ji; Wei Huang
73-80
Tikhonov-Type Regularization for Restricted Boltzmann Machines
KyungHyun Cho; Alexander Ilin; Tapani Raiko
81-88
Modeling of Spiking Analog Neural Circuits with Hebbian Learning, Using Amorphous Semiconductor Thin Film Transistors with Silicon Oxide Nitride Semiconductor Split Gates
Richard Wood; Ian Bruce; Peter Mascher
89-96
Real-Time Simulations of Synchronization in a Conductance-Based Neuronal Network with a Digital FPGA Hardware-Core
Marcel Beuler; Aubin Tchaptchet; Werner Bonath; Svetlana Postnova; Hans Albert Braun
97-104
Impact of Frequency on the Energetic Efficiency of Action Potentials
Anand Singh; Pierre J. Magistretti; Bruno Weber; Renaud Jolivet
105-112
A Large-Scale Spiking Neural Network Accelerator for FPGA Systems
Kit Cheung; Simon R. Schultz; Wayne Luk
113-120
Silicon Neurons That Compute
Swadesh Choudhary; Steven Sloan; Sam Fok; Alexander Neckar; Eric Trautmann; Peiran Gao et al.
121-128
A Communication Infrastructure for Emulating Large-Scale Neural Networks Models
Andres Gaona Barrera; Manuel Moreno Arostegui
129-136
Pair-Associate Learning with Modulated Spike-Time Dependent Plasticity
Nooraini Yusoff; André Grüning; Scott Notley
137-144
Associative Memory in Neuronal Networks of Spiking Neurons: Architecture and Storage Analysis
Everton J. Agnes; Rubem Erichsen Jr.; Leonardo G. Brunnet
145-152
Chapters/HeadingsAuthor(s)PagesInfo
Showing 1 to 20 of 93 entries
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