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Now showing items 61-70 of 185
Using pre and post-processing methods to improve binding site predictions
(2009)
Currently the best algorithms for transcription factor binding site prediction within sequences of regulatory DNA are severely limited in accuracy. In this paper, we integrate 12 original binding site prediction algorithms, ...
Adaptive electrical signal post-processing with varying representations in optical communication systems
(2009)
Improving bit error rates in optical communication systems is a difficult and important problem. Error detection and correction must take place at: high speed, and be extremely accurate. Also, different communication ...
Discriminating angry, happy and neutral facial expression : a comparison of computational models
(Springer Nature, 2009)
Recognizing expressions are a key part of human social interaction, and processing of facial expression information is largely automatic for humans, but it is a non-trivial task for a computational system. The purpose of ...
Evolution of bilateral symmetry in agents controlled by spiking neural networks
(Institute of Electrical and Electronics Engineers (IEEE), 2009)
We present in this paper three novel developmental models allowing information to be encoded in space and time, using spiking neurons placed on a 2D substrate. In two of these models, we introduce neural development that ...
Connection Strategies in Associative Memory Models
(2009)
The problem we address in this paper is that of finding effective and parsimonious patterns of connectivity in sparse associative memories. This problem must be addressed in real neuronal systems, so results in artificial ...
Using Simple Neural Networks to Correct Errors in Optical Data Transmission.
(De Montfort University, 2008)
We have demonstrated the applicability of
neural-network-based systems to the problem
of reducing the effects of signal distortion,
and shown that such a system has the potential
to reduce the bit-error-rate in the ...
Recognizing Facial Expressions : A Comparison of Computational Approaches
(2008)
Recognizing facial expressions are a key part of human social interaction,and processing of facial expression information is largely automatic, but it is a non-trivial task for a computational system. The purpose of this ...
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 ...
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 ...