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2020-11-23
13:07

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2020-11-23
12:32

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2020-11-17
10:08
OpenAccess [FZJ-2020-04522] Preprint
et al
Chimpanzee Brain Morphometry Utilizing Standardized MRI Preprocessing and Macroanatomical Annotations
Chimpanzees are among the closest living relatives to humans and, as such, provide a crucial comparative model for investigating primate brain evolution. In recent years, human brain mapping has strongly benefited from enhanced computational models and image processing pipelines that could also improve data analyses in animals by using species-specific templates. [...]
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ddc:600

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2020-11-10
10:33
OpenAccess [FZJ-2020-04376] Preprint
et al
Linking Cerebellar Functional Gradients to Transdiagnostic Behavioral Dimensions of Psychopathology
High co-morbidity and substantial overlap across psychiatric disorders encourage a transition in psychiatry research from categorical to dimensional approaches that integrate neuroscience and psychopathology. Cerebellum is involved in a wide range of nonmotor cognitive functions and mental disorders. [...]
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2020-10-16
12:38
OpenAccess [FZJ-2020-04042] Preprint
et al
Long-range coordination patterns in cortex change with behavioral context
Cortical connectivity mostly stems from local axonal arborizations, suggesting coordination is strongest between nearby neurons in the range of a few hundred micrometers. Yet multi-electrode recordings of resting-state activity in macaque motor cortex show strong positive and negative spike-count covariances between neurons that are millimeters apart. [...]
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2020-10-16
11:48
OpenAccess [FZJ-2020-04034] Preprint
et al
The covariance perceptron: A new paradigm for classification and processing of time series in recurrent neuronal networks
Learning in neuronal networks has developed in many directions, in particular to reproduce cognitive tasks like image recognition and speech processing. Implementations have been inspired by stereotypical neuronal responses like tuning curves in the visual system, where, for example, ON/OFF cells fire or not depending on the contrast in their receptive fields. [...]
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2020-10-16
10:47
OpenAccess [FZJ-2020-04032] Preprint
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Event-based update of synapses in voltage-based learning rules
Due to the point-like nature of neuronal spiking, efficient neural network simulators often employ event-based simulation schemes for synapses. Yet many types of synaptic plasticity rely on the membrane potential of the postsynaptic cell as a third factor in addition to pre- and postsynaptic spike times. [...]
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2020-10-15
11:11
OpenAccess [FZJ-2020-04005] Preprint
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Dynamics of Brain Structure and its Genetic Architecture over the Lifespan
Human brain structure changes throughout our lives. Altered brain growth or rates of decline are implicated in a vast range of psychiatric, developmental, and neurodegenerative diseases. [...]
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2020-10-15
11:05
OpenAccess [FZJ-2020-04004] Preprint
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MAGIC: A label-free fluorescence method for 3D high-resolution reconstruction of myelinated fibers in large volumes
Analyzing the structure of neuronal fibers with single axon resolution, in large volumes, remains an unresolved challenge in connectomics. Here, we propose MAGIC (Myelin Autofluorescence imaging by Glycerol Induced Contrast enhancement), a simple tissue preparation method to perform label-free fluorescence imaging of myelinated fibers. [...]
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2020-10-14
19:00
OpenAccess [FZJ-2020-03976] Preprint

Large Deviation Approach to Random Recurrent Neuronal Networks: Rate Function, Parameter Inference, and Activity Prediction
Statistical field theory captures collective non-equilibrium dynamics of neuronal networks, but it does not address the inverse problem of searching the connectivity to implement a desired dynamics. We here show for an analytically solvable network model that the effective action in statistical field theory is identical to the rate function in large deviation theory; using field theoretical methods we derive this rate function. [...]
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