April 24th, 2018 
Daniela Lopez de Luise The deadline has been moved to 31 July 2018.
1. AIMS AND SCOPE
Neuroscience studies the structure and function of the nervous system at various scales ranging from molecular and cellular biology to the organizational principles of perception, behaviour and cognition of humans.
Recent technological and theoretical advances provide new insights in the fundamental mechanisms of information processing in the neural system. These developments are accompanied by a tremendous growth of experimental data waiting for a deeper exploration. Modern techniques from neuro- and brain imaging, optogenetic devices as well as in vitro and in vivo multielectrode recordings generate nowadays high-quality neurophysiological data in an unreached resolution.
These rapid developments offer promising avenues to advance our understanding of the nervous system. New approaches in computational neuroscience lead to more realistic biophysical models that offer exciting opportunities for sophisticated analyses of intracellular signalling or dynamics in heterogeneous neural networks, the connection of spatial and temporal processes, multisensory integration, conditional behaviour or connections of brain regions in decision-making.
The high complexity of neural systems and the large number of constituents with an often unknown functional interconnections lead to significant computational challenges. An important consideration is the development of mathematical models incorporating the many influences of randomness, noise, uncertainty and fuzziness in both their static and time-dependent versions. The quality of prediction by a model highly depends on the integration of unprecise data and the quantification of uncertain structural parameters. A sophisticated analysis of the influence of all types of randomness, uncertainty and noise is indispensable for the development of reliable neuro-computational models.
The special issue will cover a broad range of topics in the field of neuroscience, exploring the recent advances in the field of neuro-computational models and simulations under uncertainty such as fuzzy based computational models and fuzzy trace theory as well as stochastic neural computation and neural/brain modelling with stochastic differential equations and stochastic regimes models.
2. TOPICS COVERED
The topics include but are not limited to:
Computational neurosciences
o modelling and simulation under uncertainty o fuzzy approaches and stochastic methods o statistical information processing o neuroimaging and functional brain imaging Neural networks and systems
o neural systems and circuits
o stochastic network models
o multisensory integration between modalities o dynamics in heterogeneous neural networks o spatio-temporal network analysis
Molecular and cellular structures
o molecular and cellular processes
o stochastic regulation in neurobiology o random intracellular signalling o synaptic plasticity o learning and memory o neurotransmitter functions Clinical neuroscience and medicine
o psychophysiology and pharmacology
o biopsychology and cognitive psychology o perceptual and cognitive functions o behavioural, affective-emotional processes o human development o neuropsychiatric and degenerative disorders o neuroethics
3. SUBMISSION GUIDELINES
All authors should read ‘Information for Authors’ before submitting a manuscript http://cis.ieee.org/ieee-
Submissions should be through the IEEE TFS journal website http://mc.manuscriptcentral.
• Ensure you choose ‘Special Issue’ when submitting.
• A cover letter must be included which includes the title ‘Special Issue on Fuzzy Analytics and Stochastic Methods in Neurosciences’
4. IMPORTANT DATES
31 July 2018: New Submission deadline
5. GUEST EDITORS
Dr. Erik Kropat
University of the Bundeswehr Munich, Germany
Email: erik.kropat@web.de
Prof. Dr. Gerhard-Wilhelm Weber
Poznan University of Technology, Poland
Email: gerhard.weber@put.poznan.pl
Prof. Dr. Metin Turkay
Koc University, Istanbul, Turkey
Email: mturkay@ku.edu.tr
Kind regards
Clair Morton
Posted in