Neuroscience: From Neural Networks to Artificial Intelligence

I. Scales of Analysis.- Neuronal networks of the mammalian brain have functionally different classes of neurons: Suggestions for a taxonomy of membrane ionic conductances.- Electrical coupling in networks containing oscillators.- Dynamical approach to collective brain.- Schema-theoretic models of arm, hand, and eye movements.- Cooperative distributed problem solving between (and within) intelligent agents.- II. Processing of Sensory Information.- Spinal processing of impulse trains from sensory receptors.- Central control of sensory information.- Parallel and serial processing in the somatosensory system.- Cortical representation of touch.- An introduction to human haptic exploration and recognition of objects for neuroscience and AI.- Common principles in auditory and visual processing.- III. Visual Processing.- Neuronal substrate of ligth-induced attraction and withdrawal in crayfish: A case of behavioral selection.- Neural and psychophysical models of chromatic and achromatic visual processes.- Computational vision: A probabilistic view of the multi-module paradigm.- State of the art in image processing.- Shape recognition in mind, brain, and machine.- IV. Learning And Knowledge Representation.- Contrasting properties of NMD A-dependent and NMDA-independent forms of LTP in hippocampal pyramidal cells.- Kindling.- Learning automata: An alternative to artificial neural networks.- Learning, from a logical point of view.- Knowledge representation for speech processing.- Data management and inference strategies in a human gait pathology expert system.- V. Neuronal Systems For Motor Integration.- Entrainment of the spinal neuronal network generating locomotion.- Cortical representation of intended movements.- Saccadic and fixation sytems of oculomotor control in monkey superior colliculus.- Modulatory effects on prey-recognition in amphibia: A theoretical- experimental study.- VI. Robotics And Control.- Outline for a theory of motor behavior: Involving cooperative actions of the cerebellum, basal ganglia, and cerebral cortex.- Neural networks and adaptive control.- Robustness issues in robot manipulators.- Symbolic planning versus neural control in robots.- Divine inheritance vs. experience in the world: Where does the knowledge base come from?.- VII. A Concluding Perspective.- Methodological considerations in Cognitive Science.- Viewpoints and controversies.