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NIPS
2007
13 years 6 months ago
Inferring Elapsed Time from Stochastic Neural Processes
Many perceptual processes and neural computations, such as speech recognition, motor control and learning, depend on the ability to measure and mark the passage of time. However, ...
Misha Ahrens, Maneesh Sahani
HIS
2008
13 years 6 months ago
Neural Plasticity and Minimal Topologies for Reward-Based Learning
Artificial Neural Networks for online learning problems are often implemented with synaptic plasticity to achieve adaptive behaviour. A common problem is that the overall learning...
Andrea Soltoggio
AGI
2008
13 years 6 months ago
How Might Probabilistic Reasoning Emerge from the Brain?
: A series of hypotheses is proposed, connecting neural structures and dynamics with the formal structures and processes of probabilistic logic. First, a hypothetical connection is...
Ben Goertzel, Cassio Pennachin
AI50
2006
13 years 8 months ago
Dynamical Systems in the Sensorimotor Loop: On the Interrelation Between Internal and External Mechanisms of Evolved Robot Behav
This case study demonstrates how the synthesis and the analysis of minimal recurrent neural robot control provide insights into the exploration of embodiment. By using structural e...
Martin Hülse, Steffen Wischmann, Poramate Man...
ISCAS
2003
IEEE
153views Hardware» more  ISCAS 2003»
13 years 9 months ago
A VLSI model of range-tuned neurons in the bat echolocation system
The neural computations that support bat echolocation are of great interest to both neuroscientists and engineers, due to the complex and extremely time-constrained nature of the ...
Matthew Cheely, Timothy K. Horiuchi
ICANN
2005
Springer
13 years 10 months ago
New Ears for a Robot Cricket
Cricket females perform phonotaxis towards the specific sounds produced by male crickets. By means of a well-tuned peripheral auditory system the cricket is able to extract direct...
Ben Torben-Nielsen, Barbara Webb, Richard E. Reeve
ICANN
2005
Springer
13 years 10 months ago
Information Visualization for Knowledge Extraction in Neural Networks
In this paper, a user-centred innovative method of knowledge extraction in neural networks is described. This is based on information visualization techniques and tools for artific...
Liz J. Stuart, Davide Marocco, Angelo Cangelosi
IJCNN
2006
IEEE
13 years 10 months ago
Anti-swing control for overhead crane with neural compensation
— This paper considers the problem of PD control of overhead crane in the presence of uncertainty associated with crane dynamics. By using radial basis function neural networks, ...
Rigoberto Toxqui Toxqui, Wen Yu, Xiaoou Li
GECCO
2007
Springer
212views Optimization» more  GECCO 2007»
13 years 10 months ago
A developmental model of neural computation using cartesian genetic programming
The brain has long been seen as a powerful analogy from which novel computational techniques could be devised. However, most artificial neural network approaches have ignored the...
Gul Muhammad Khan, Julian F. Miller, David M. Hall...
ECAL
2007
Springer
13 years 10 months ago
Measuring Entropy in Embodied Neural Agents with Homeostasic Units: A Link Between Complexity and Cybernetics
Abstract. We present a model of a recurrent neural network with homeostasic units, embodied in a minimalist articulated agent with a single link and joint. The configuration of th...
Jorge Simão