Results 21 to 30 of about 297,450 (276)
Efficient transfer entropy analysis of non-stationary neural time series [PDF]
, 2014 Information theory allows us to investigate information processing in neural systems in terms of information transfer, storage and modification. Especially the measure of information transfer, transfer entropy, has seen a dramatic surge of interest in ...
Díaz-Pernas, Francisco J. +4 more
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Frontiers in Computational Neuroscience, 2013 Many computational models of the basal ganglia have been proposed over the past twenty-five years. While computational neuroscience models have focused on closely matching the neurobiology of the basal ganglia, computational cognitive neuroscience models
Sebastien eHelie +2 more
doaj +1 more source
Building machines that adapt and compute like brains [PDF]
, 2017 Building machines that learn and think like humans is essential not only for cognitive science, but also for computational neuroscience, whose ultimate goal is to understand how cognition is implemented in biological brains. A new cognitive computational
Kriegeskorte, Nikolaus, Mok, Robert M.
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Teaching computational neuroscience [PDF]
Cognitive Neurodynamics, 2015 The problems and beauty of teaching computational neuroscience are discussed by reviewing three new textbooks.
openaire +3 more sources
Frontiers in Computational Neuroscience, 2016 Research in neural information processing has been successful in the past, providing useful approaches both to practical problems in computer science and to computational models in neuroscience.
Guenther ePalm
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Computational Cognitive Neuroscience [PDF]
, 2018 This chapter provides an overview of the basic research strategies and analytic techniques deployed in computational cognitive neuroscience. On the one hand, “top-down” (or reverse-engineering) strategies are used to infer, from formal characterizations ...
Zednik, Carlos
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From Parallel Sequence Representations to Calligraphic Control: A Conspiracy of Neural Circuits [PDF]
, 2004 Calligraphic writing presents a rich set of challenges to the human movement control system. These challenges include: initial learning, and recall from memory, of prescribed stroke sequences; critical timing of stroke onsets and durations; fine control
Bullock, Daniel
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Energy landscape analysis of neuroimaging data [PDF]
, 2017 Computational neuroscience models have been used for understanding neural dynamics in the brain and how they may be altered when physiological or other conditions change. We review and develop a data-driven approach to neuroimaging data called the energy
Ezaki, Takahiro +3 more
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Stochastic neural field equations: A rigorous footing [PDF]
, 2013 We extend the theory of neural fields which has been developed in a deterministic framework by considering the influence spatio-temporal noise. The outstanding problem that we here address is the development of a theory that gives rigorous meaning to ...
Faugeras, Olivier, Inglis, James
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Neural network based successor representations to form cognitive maps of space and language
Scientific Reports, 2022 How does the mind organize thoughts? The hippocampal-entorhinal complex is thought to support domain-general representation and processing of structural knowledge of arbitrary state, feature and concept spaces.
Paul Stoewer +5 more
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