Impact Factor
3.13
Journal Citation Impact
Estimated influence, citation density, publishing volume, and citation integrity from the analytics table.
Citation rate
2.96
122 total citations
h5-index
19
h5 depth signal
Cited share
75.5%
37 of 49
Total citations
122
Citation footprint
Metric signal
2.52
External metric anchor
Self-citation
4.9%
6 self-citations
Citations Trend
Monthly Publications Cadence
Citing Geographic Demographics
United States
127
Germany
79
United Kingdom
36
France
26
China
21
Citing Fields of Research
Neurosciences
192
Postural Control
83
Differential Equations
76
Cell Biology
65
AI & Machine Learning
57
Publishing Activity & Reach
Volume, recency, access pattern, and citing-community signals from the journal analytics record.
All-time article footprint
4,514
Articles tracked across the journal lifetime
Indexed publication set
49
37 cited publications
Last 12 months
39
3.9 publications/month
Open access share
56.4%
22 OA publications in the last year
Leading citing country
United States
127 citing publications
Leading citing field
Neurosciences
192 citing publications
Latest tracked publication
9 October 2026
10 recent records available
Coverage & Indexing History
v17n1, 1975-
v17n1, 1975-
Active Coverage
Research Focus & Classification
Indexed Subjects
Neurosciences
Postural Control
Differential Equations
Broad Categories
Neurology
Physiology
Neurosciences
MeSH Descriptors
Bionics
Cybernetics
Latest Publications
Recent article records with DOI-first linking and condensed abstracts.
01
DOI 10.1007/s00422-026-01066-0
Open DOI
Active inference with reusable state-dependent value profiles
Optimal behavior in volatile environments requires agents to deploy different value-control regimes across hidden latent structures. However, representing independent preferences, biases, and action confidence for every situation is comp...
02
DOI 10.1007/s00422-026-01065-1
Open DOI
Elements of olfactory intelligence in Drosophila
03
DOI 10.1007/s00422-026-01062-4
Open DOI
The effect of data preprocessing on spike correlation analysis results
In recent years, an increasing number of large electrophysiological data sets have become publicly available, thereby providing researchers with the opportunity to analyze spike train data without conducting their own experiments. While ...
04
DOI 10.1007/s00422-026-01064-2
Open DOI
Adaptive conduction delays and phase locking in spiking Haken Lighthouse networks
We develop a theory of phase-locked activity in delayed spiking networks using the Haken Lighthouse model as an analytically tractable event-based description of neural dynamics. For networks with fixed delays, we derive self-consistency...
05
DOI 10.1007/s00422-026-01061-5
Open DOI
Modeling synaptic interactions between mammalian breathing and swallowing central pattern generators
Breathing and swallowing are tightly coupled motor behaviors whose execution depends on the coordinated activity of two brainstem central pattern generators (R-CPG, Sw-CPG). We present a mechanistic neural network model that captures thi...
06
DOI 10.1007/s00422-026-01063-3
Open DOI
Increased firing rates monotonically expand neuronal coding bandwidth
Sensory information is often processed by populations of neurons that vary with respect to their levels of spiking activity. It appears plausible that neurons that fire more often are capable of following faster changes in the input sign...
07
DOI 10.1007/s00422-026-01052-6
Open DOI
The Difference Neuron—a new spiking neuron model
08
DOI 10.1007/s00422-026-01058-0
Open DOI
De novo motor learning as controller synthesis: a conceptual framework
09
DOI 10.1007/s00422-026-01060-6
Open DOI
Efficient coding predicts synaptic conductance
Retinothalamic and thalamocortical synapses are efficient in the sense that each synapse conveys as many bits per Joule as possible, but efficiency falls rapidly if synaptic conductance deviates from its natural value Harris et al. (2015...
10
DOI 10.1007/s00422-026-01053-5
Open DOI
Spatial spectral narrowing in the corticothalamic neural field model across consciousness states
The neural correlates of consciousness have been characterized primarily through temporal EEG features, while the spatial dynamics of cortical activity across consciousness states remain poorly understood. Here, we analyze the spatial mo...
Bibliographical & Catalog Notes
Also issued online.
Articles mainly in English with some in German; summaries in English.
Continues Kybernetik.
(1988)19890818 Notice published Printed on acid-free paper