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Connectivity graphs and the performance of sparse associative memory models
(Institute of Electrical and Electronics Engineers (IEEE), 2008)
Adaptive Olfactory Encoding in Agents Controlled by Spiking Neural Networks
(2008)
We created a neural architecture that can use two different types of information encoding strategies depending on the environment. The goal of this research was to create a simulated agent that could react to two different ...
Optimal noise in spiking neural networks for the detection of chemicals by simulated agents
(MIT Press, 2008)
We created a spiking neural controller for an agent that could use two different types of information encoding strategies depending on the level of chemical concentration present in the environment. The first goal of this ...
Encoding sensory information in spiking neural network for the control of autonomous agents
(2008)
The goal of the work presented here was to find a model of a spiking sensory neuron that could cope with small variations of a simulated pheromone concentration and also the whole range of concentrations. We tried many ...
Receptor response and soma leakiness in a simulated spiking neural controller for a robot
(INSTICC (Inst. Syst. Technologies Information Control and Communication), 2008)
This paper investigates different models of leakiness for the soma of a simulated spiking neural controller for a robot exhibiting negative photo-taxis. It also investigates two models of receptor response to stimulus ...
Determinants of pattern recognition by cerebellar Purkinje cells
(2008)
Poster presented at CNS 2008
Using graph theoretic measures to predict the performance of associative memory models
(ESANN, 2008)
We test a selection of associative memory models built with different connection strategies, exploring the relationship between the structural properties of each network and its pattern-completion performance. It is found ...
Prediction of Binding Sites in the Mouse Genome Using Support Vector Machines
(2008)
Computational prediction of cis-regulatory binding sites is widely acknowledged as a difficult task. There are many different algorithms for searching for binding sites in current use. However, most of them produce a high ...
Combining experts in order to identify binding sites in yeast and mouse genomic data
(2008)
The identification of cis-regulatory binding sites in DNA is a difficult problem in computational biology. To obtain a full understanding of the complex machinery embodied in genetic regulatory networks it is necessary to ...
Adaptive Electrical Signal Post-Processing in Optical Communication Systems
(INSTICC (Inst. Syst. Technologies Information Control and Communication), 2008)
Improving bit error rates in optical communication systems is a difficult and important problem. The error correction must take place at high speed and be extremely accurate. We show the feasibility of using hardware ...