|
INCF and the NL National Node
Why is Neuroanatomical nomenclature important for neuroinfomatics / INCF
Presentation deals with INCF Workshop on Neuroanatomical Nomenclature and Taxonomy (Meeting: September 10-11, 2007, Stockholm, Sweden ) Goal: The goal of this workshop was to agree on a general strategy for developing a systematic, useful, and scientifically appropriate framework for neuroanatomical nomenclature. The workshop focused on general principles that will serve as a basis for future decisions on implementation strategies. The report discusses the problems arising from the use of different parcellation schemes and use of different terminologies and highlights the need of a universal vocabulary for describing the structural organization of the nervous system. Workshop participants encourage the creation of an International Coordinating Committee for Neuroanatomical Nomenclature and propose short- and long-term goals for such a committee. Report: Mihail Bota and Larry Swanson. Workshop report: "1st INCF Workshop on Neuroanatomical Nomenclature and Taxonomy". 2008 Download Workshop Report, also available from Nature Precedings (2008). This aspect is incorporated as part of INCF Program on Ontologies of Neural Structures"
Digital Brain Atlasing
Ontologies of Neural Structures
Animal Models of Brain Diseases: the need for informatics
Connectivity and plasticity in cultured neuronal networks
Networks of cultured neurons on multi electrode arrays constitute a recently developed model to study learning and memory. We investigated conditional firing probabilities (CFP), a tool to describe connectivity in such networks. CFP analysis yields a set of functional connections described by their strength and latency. We showed that functional connections provide a robust description of the underlying probabilistic structure of highly varying spontaneous activity. These functional connections appear to follow the rules of spike timing dependent plasticity and are therefore likely to provide information about synaptic plasticity. We investigated functional connectivity changes induced by various stimulation protocols, including one that has been reported to enforce learning.
Effective communication by neuronal coherence: a model study
Since we are overwhelmed by sensory stimuli, our brain has
to select relevant stimuli. This is done by processing only the relevant
information effectively and ignoring the other stimuli. This can not be
done fast enough in a flexible way by the anatomical connections between
neurons and neuronal populations. The flexible organization of
communicating subsets of neuronal populations in the brain is thought to
be implemented by coherent rhythmic changes in neuronal excitability as
postulated by the Communication-Through-Coherence hypothesis . It states
that the effectiveness of neuronal communication is determined by the
relative phase of oscillatory activity of the sending and the receiving
neuronal populations.
tba
Comparing detailed computational models and averaged population models for neocortical epilepsy
Two different approaches of modeling epileptiform neuronal activity, i.e. detailed neuronal models and population models, are compared to each other. The detailed model is an accurate and detailed description of neurons in the neocortex. This model exhibits realistic neuronal activity and its sensitivity to certain drugs has been validated with mouse experiments. The essence of the displayed activity and drug sensitivity is also captured with a much simpler averaged population model for two neuronal populations. The accessibility of this population models allows a thorough bifurcation analysis which predicts transitions in behavior under parameter variation. When the population model behaves accurately under normal conditions, it is suitable to detect epileptiform activity under abnormal conditions. We subsequently search for the corresponding transitions of attractors in the detailed model.
Future of Neuroinformatics in the Netherlands
|
|
| ||
|
|
|
|
| ||