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110
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NIPS
2004
15 years 1 months ago
Edge of Chaos Computation in Mixed-Mode VLSI - A Hard Liquid
Computation without stable states is a computing paradigm different from Turing's and has been demonstrated for various types of simulated neural networks. This publication t...
Felix Schürmann, Karlheinz Meier, Johannes Sc...
114
Voted
NIPS
2004
15 years 1 months ago
Learning Gaussian Process Kernels via Hierarchical Bayes
We present a novel method for learning with Gaussian process regression in a hierarchical Bayesian framework. In a first step, kernel matrices on a fixed set of input points are l...
Anton Schwaighofer, Volker Tresp, Kai Yu
NIPS
2004
15 years 1 months ago
Spike-timing Dependent Plasticity and Mutual Information Maximization for a Spiking Neuron Model
We derive an optimal learning rule in the sense of mutual information maximization for a spiking neuron model. Under the assumption of small fluctuations of the input, we find a s...
Taro Toyoizumi, Jean-Pascal Pfister, Kazuyuki Aiha...
103
Voted
NIPS
2004
15 years 1 months ago
Synergies between Intrinsic and Synaptic Plasticity in Individual Model Neurons
This paper explores the computational consequences of simultaneous intrinsic and synaptic plasticity in individual model neurons. It proposes a new intrinsic plasticity mechanism ...
Jochen Triesch
98
Voted
NIPS
2004
15 years 1 months ago
Supervised Graph Inference
We formulate the problem of graph inference where part of the graph is known as a supervised learning problem, and propose an algorithm to solve it. The method involves the learni...
Jean-Philippe Vert, Yoshihiro Yamanishi