AbstractRevision of the mathematical formalism of Newtonian dynamics suggests that its determinism and reversibility result from additional mathematical restrictions which are not consistent with the physical nature of motions. The removal of these restrictions, and a new model for Newtonian dynamics, as well as its applications to modelling neural intelligence are discussed
mesoscopic brain dynamics; neuropercolation; neurophenomenology; reflex arc; scale-free cortical dyn...
Dynamical systems play a central role in explanations in cognitive neuroscience. The grounds for the...
The dynamical hypothesis in cognition identifies various research paradigms applying the mathematics...
AbstractRevision of the mathematical formalism of Newtonian dynamics suggests that its determinism a...
This paper makes two self-confessedly ambitious proposals. One is a theory of mind and world with an...
What would it mean to explain the mind in neural terms? Neural accounts of the mind are often sought...
Abstract: The objective of this work is to extend the physical invariants of biosignature (from diso...
A dynamical system with a plastic self-organising velocity vector field was introduced in [Janson & ...
Cognitive neuroscientists are turning to an increasingly rich array of neurodynamical systems to exp...
The brain is arguably the most complex system known to man. Under the eyes of a physicist, brains sh...
... this paper we present the alternate view that brains are (in part) dynamic simulation devices ca...
The field of neural network modelling has grown up on the premise that the massively parallel distri...
Composed by hundred billion neurons with nonlinearities, the brain consists explicit connection para...
From time to time, perhaps a few times each century, a revolution occurs that questions some of our ...
As we strive to understand the mechanisms underlying neural computation, mathematical models are inc...
mesoscopic brain dynamics; neuropercolation; neurophenomenology; reflex arc; scale-free cortical dyn...
Dynamical systems play a central role in explanations in cognitive neuroscience. The grounds for the...
The dynamical hypothesis in cognition identifies various research paradigms applying the mathematics...
AbstractRevision of the mathematical formalism of Newtonian dynamics suggests that its determinism a...
This paper makes two self-confessedly ambitious proposals. One is a theory of mind and world with an...
What would it mean to explain the mind in neural terms? Neural accounts of the mind are often sought...
Abstract: The objective of this work is to extend the physical invariants of biosignature (from diso...
A dynamical system with a plastic self-organising velocity vector field was introduced in [Janson & ...
Cognitive neuroscientists are turning to an increasingly rich array of neurodynamical systems to exp...
The brain is arguably the most complex system known to man. Under the eyes of a physicist, brains sh...
... this paper we present the alternate view that brains are (in part) dynamic simulation devices ca...
The field of neural network modelling has grown up on the premise that the massively parallel distri...
Composed by hundred billion neurons with nonlinearities, the brain consists explicit connection para...
From time to time, perhaps a few times each century, a revolution occurs that questions some of our ...
As we strive to understand the mechanisms underlying neural computation, mathematical models are inc...
mesoscopic brain dynamics; neuropercolation; neurophenomenology; reflex arc; scale-free cortical dyn...
Dynamical systems play a central role in explanations in cognitive neuroscience. The grounds for the...
The dynamical hypothesis in cognition identifies various research paradigms applying the mathematics...
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