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Now showing items 21-30 of 93
The role of lateral inhibition in the sensory processing in a simulated spiking neural controller for a robot
(Institute of Electrical and Electronics Engineers (IEEE), 2009)
Visual adaptation is the process that allows animals to be able to see over a wide range of light levels. This is achieved partially by lateral inhibition in the retina which compensates for low/high light levels. Neural ...
Connection strategy and performance in sparsely connected 2D associative memory models with non-random images
(2009)
A sparsely connected associative memory model is tested with different pattern sets, and it is found that pattern recall is highly dependent on the type of patterns used. Performance is also found to depend critically on ...
Integrating genomic binding site predictions using real-valued meta classifiers
(2009)
Currently the best algorithms for predicting transcription factor binding sites in DNA sequences are severely limited in accuracy. There is good reason to believe that predictions from different classes of algorithms could ...
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, ...
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