: This is a retrospective and unmaintained page.
Please, visit the main
IWANN page.
TOPICS
Contributions on the following topics are welcome:
- 1.
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Foundations of Connectionism.
Brain organization
principles. Connectionistic versus symbolic representations.
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2.
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Biophysical models of neurons.
Ionic channels,
synaptic level, neurons and circuits.
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3.
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Structural and functional models of neurons.
Analogue, digital, probabilistic, Bayesian, fuzzy, object
oriented and energy related formulations.
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4.
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Learning and other plasticity phenomena.
Supervised,
non-supervised and reinforcement algorithms. Biological mechanisms
of adaptation and plasticity.
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5.
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Complex systems dynamics.
Optimization,
self-organization and cooperative processes. Evolutionary and
genetic algorithms. Large scale neural models.
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6.
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Artificial Intelligence and Cognitive Processes.
Knowledge modeling. Natural language understanding. Intelligent
multi-agent systems. Distributed AI.
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7.
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Methodology for nets design.
Data analysis, task
identification and recursive hierarchical design.
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8.
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Nets simulation and implementation.
Development
environments and editing tools. Implementation. Evolving hardware.
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9.
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Bio-inspired systems and engineering.
Signal
processing, neural prostheses, retinomorphic systems, and other
neural adaptive prosthetic devices. Molecular computing.
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10.
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Other applications.
Artificial vision, speech
recognition, spatio-temporal planning and scheduling. Data mining.
Sources separation. Applications of ANNs in Robotics, Economy,
Internet, Medicine, Education and Industry.