Impact Factor
2.78
Journal Citation Impact
Estimated influence, citation density, publishing volume, and citation integrity from the analytics table.
Citation rate
2.09
74 total citations
h5-index
15
h5 depth signal
Cited share
63.8%
30 of 47
Total citations
74
Citation footprint
Metric signal
1.98
External metric anchor
Self-citation
9.5%
7 self-citations
Citations Trend
Monthly Publications Cadence
Citing Geographic Demographics
United States
174
France
46
China
29
United Kingdom
27
Germany
27
Citing Fields of Research
Neurosciences
273
Differential Equations
72
Postural Control
52
Cell Biology
48
Physiology
38
Publishing Activity & Reach
Volume, recency, access pattern, and citing-community signals from the journal analytics record.
All-time article footprint
1,337
Articles tracked across the journal lifetime
Indexed publication set
47
30 cited publications
Last 12 months
43
3.9 publications/month
Open access share
53.5%
23 OA publications in the last year
Leading citing country
United States
174 citing publications
Leading citing field
Neurosciences
273 citing publications
Latest tracked publication
17 October 2026
10 recent records available
Coverage & Indexing History
v1n1/2,Jun. 1994-
v1n1/2,Jun. 1994-
Active Coverage
Research Focus & Classification
Indexed Subjects
Neurosciences
Broad Categories
Computational Biology
Neurology
Neurosciences
MeSH Descriptors
Computer Simulation
Models, Neurological
Neurosciences
Latest Publications
Recent article records with DOI-first linking and condensed abstracts.
01
DOI 10.1007/s10827-026-00955-4
Open DOI
A self-organizing developmental framework for the head direction ring attractor
The head direction (HD) system provides a continuous representation of the animal’s facing direction and is a core component of the spatial navigation network. Although mature HD circuits have been studied extensively, their developmenta...
02
DOI 10.1007/s10827-026-00957-2
Open DOI
Correction to: Network state transitions under deep brain stimulation: A Wilson–Cowan model of Parkinson’s Disease
03
DOI 10.1007/s10827-026-00956-3
Open DOI
Context-Dependent modulation of astrocytic Ca2+ signals by mitochondria: a computational study
Mitochondria regulate intracellular Ca 2+ by uptake through the mitochondrial Ca 2+ uniporter (MCU) and release via the mitochondrial permeability transition pore (mPTP). In astrocytes, neurotransmitter stimulation evokes Ca 2+ signaling...
04
DOI 10.1007/s10827-026-00943-8
Open DOI
Energy shunting control in hybrid ion channel of a biophysical neuron driven by memristive current
In this article, a control strategy is proposed to control the energy level and firing modes in a memristive neuron with hybrid ion channel, in which this branch circuit connects a memristor in series with an inductor. Energy and current...
05
DOI 10.1007/s10827-026-00953-6
Open DOI
Effort and substance use: differentiating tobacco use through reinforcement learning of effort based decision making
Effort-based decision making evaluates rewards relative to the effort required to obtain it, an important process of healthy goal-directed motivation and behavior. Computational models provide mechanistic insights underlying choice behav...
06
DOI 10.1007/s10827-026-00954-5
Open DOI
Network state transitions under deep brain stimulation: A Wilson–Cowan model of Parkinson’s Disease
Parkinson’s disease is characterized by pathological beta-band oscillations () arising from dopamine-depletion-induced instability in the basal ganglia–thalamocortical network. Although deep brain stimulation of the subthalamic nucleus i...
07
DOI 10.1007/s10827-026-00952-7
Open DOI
Task-Parametrized dynamics: Representation of time and decisions in recurrent neural networks
08
09
DOI 10.1007/s10827-026-00950-9
Open DOI
A spatially discretized convolutional neural mass model for studying meso-scale spatio-temporal transformations in the rat hippocampus
The brain operates across multiple spatial and temporal scales, necessitating computationally efficient models that link micro-scale mechanisms to meso- and macro-scale dynamics. Here, we introduce a novel convolutional neural mass model...
10
DOI 10.1007/s10827-026-00944-7
Open DOI
Detailed study of bifurcations in a rate model with excitatory and inhibitory neurons and adaptation
The dynamical behaviour of a population-based rate model with firing adaptation is studied. An excitatory and inhibitory population of neurons is recurrently coupled and a negative feedback term is added to the excitatory population as f...
Bibliographical & Catalog Notes
Also available online.
Vol. 1, no. 1/2 (JUNE 1994)19951128 Notice published Printed on acid-free paper