Churchland, Patricia S 　著

内容

目次

Part 1 Neuroscience overview: levels in nervous systems; structure atvarious levels of organization; a short list of brain facts. Part 2Computational overview: looking up the answer; linear associators; constraintsatisfaction - Hopfield networks and Boltzmann machines; learning in neuralnets; competitive learning; curve fitting; feedforward nets - two examples;recurrent nets; from toy world to real world; what good are optimizationprocedures to neuroscience?; models - realistic and abstract; concludingremarks. Part 3 Representing the world: constructing a visual world;thumbnail sketch of the mammalian visual system; representing in the brain -what can we learn from the visual system?; what is so special aboutdistribution; world enough and time; shape from shading - aneurocomputational study; stereo vision; computational models of stereovision; hyperacuity - from mystery to mechanism; vector averaging; concludingremarks. Part 4 Plasticity - cells, circuits, brains, and behaviour: learningand the hippocampus; Donald Hebb and synaptic plasticity; memories are madeof this - mechanisms of neuronal plasticity; cells and circuits; decreasingsynaptic strength; back to systems and behaviour; being and timing;development of nervous systems; modules and networks. Part 5 Sensorimotorintegration: LeechNet; computation and the vetibulo-ocular reflex; time andtime again; the segmental swimming oscillator; modelling the neuron;concluding remarks. Part 6 Concluding and beyond. Appendix: anatomical andphysiological techniques - permanent lesions, reversible lesions andmicrolesions, imaging techniques, gross electrical and magnetic recording,single-unit recording, anatomical tract tracing.