Connectionists: NEURAL COMPUTATION - August, 2010

Terry Sejnowski terry at salk.edu
Sun Jul 25 20:33:22 EDT 2010


Neural Computation - Contents - Volume 22, Number 8 - August 1, 2010

ARTICLE

A Spiking Neuron as Information Bottleneck
Lars Buesing and Wolfgang Maass

NOTE
Estimating a State-Space Model from Point Process Observations: A Note on Convergence
Ke Yuan and Mahesan Niranjan

LETTERS
A Computationally Efficient Method for Nonparametric Modeling of
Neural Spiking Activity with Point Processes
Todd Coleman and Sridevi Sarma

How synaptic release probability shapes neuronal transmission:
Information theoretic analysis in a cerebellar granule cell
Angelo Arleo, Thierry Nieus, Michele Bezzi,
Anna D'Errico, Egidio D'Angelo, and Olivier Coenen

Reconciling the STDP and BCM Models of Synaptic Plasticity in a Spiking Recurrent Neural Network
Daniel Bush, Andrew Philippides, Phil Husbands, and Michael O'Shea

Multilayer Processing of Spatiotemporal Spike Patterns in a Neuron with Active Dendrites
Yingxue Wang and Shih-Chii Liu

Spectral Method and High-Order Finite Differences for the Nonlinear Cable Equation
Ahmet Omurtag and William Lytton

Competitive Layer Model of Discrete-Time Recurrent Neural Networks with LT Neurons
Wei Zhou and Jacek Zurada

Modeling Stereopsis via Markov Random Field
Yansheng Ming and Zhanyi Hu

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