Biological autonomy: the self-creation of constraints
Applied Mathematics and Computation - Special issue on biophysicalism
Analog computation with dynamical systems
PhysComp96 Proceedings of the fourth workshop on Physics and computation
Cellular-automata-like simulations of dynamic neural fields
IPCAT '97 Proceedings of the second international workshop on Information processing in cell and tissues
Dynamic stochastic synapses as computational units
Neural Computation
Neural networks and analog computation: beyond the Turing limit
Neural networks and analog computation: beyond the Turing limit
Molecular Computing
On how the computational paradigm can help us to model and interpret the neural function
Natural Computing: an international journal
The role of non-linearity for evolved multifunctional robot behavior
ICES'05 Proceedings of the 6th international conference on Evolvable Systems: from Biology to Hardware
Brain Complexity: Analysis, Models and Limits of Understanding
IWINAC '09 Proceedings of the 3rd International Work-Conference on The Interplay Between Natural and Artificial Computation: Part I: Methods and Models in Artificial and Natural Computation. A Homage to Professor Mira's Scientific Legacy
On reverse engineering in the cognitive and brain sciences
Natural Computing: an international journal
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Theories of how the brain computes can be differentiated in three general conceptions: the algorithmic approach, the neural information processing (neurocomputational) approach and the dynamical systems approach. The discussion of key features of brain organization (i.e. structure with function) demonstrates the self-organizing character of brain processes at the various spatio-temporal scales. It is argued that the features associated with the brain are in support of its description in terms of dynamical systems theory, and of a concept of computation to be developed further within this framework.