AIMC Topic: Nerve Net
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Concept transfer of synaptic diversity from biological to artificial neural networks.
Nature communications
Jun 2, 2025
Recent developments in artificial neural networks have drawn inspiration from biological neural networks, leveraging the concept of the artificial neuron to model the learning abilities of biological nerve cells. However, while neuroscience has provi...
Modeling Normal and Abnormal Circuit Development with Recurrent Neural Networks.
Cold Spring Harbor perspectives in biology
Jun 2, 2025
Neural development must construct neural circuits that can perform the computations necessary for survival. However, many theoretical models of development do not explicitly address the computational goals of the resulting networks, or computations t...
Hybrid neural networks in the mushroom body drive olfactory preference in .
Science advances
May 30, 2025
In , olfactory encoding in the mushroom body (MB) involves thousands of Kenyon cells (KCs) processing inputs from hundreds of projection neurons (PNs). Recent data challenge the notion of random PN-to-KC connectivity, revealing preferential connectio...
Decoding dynamic brain networks in Parkinson's disease with temporal attention.
Scientific reports
May 29, 2025
Detecting brief, clinically meaningful changes in brain activity is crucial for understanding neurological disorders. Conventional imaging analyses often overlook these subtle events due to computational demands. IMPACT (Integrative Multimodal Pipeli...
Contrastive functional connectivity defines neurophysiology-informed symptom dimensions in major depression.
Cell reports. Medicine
May 28, 2025
Major depressive disorder (MDD) is highly heterogeneous, posing challenges for effective treatment due to complex interactions between clinical symptoms and neurobiological features. To address this, we apply contrastive principal-component analysis ...
Functional connectome-based predictive modeling of suicidal ideation.
Journal of affective disorders
May 27, 2025
Suicide represents an egregious threat to society despite major advancements in medicine, in part due to limited knowledge of the biological mechanisms of suicidal behavior. We apply a connectome predictive modeling machine learning approach to ident...
Network models incorporating chloride dynamics predict optimal strategies for terminating status epilepticus.
Neurobiology of disease
May 20, 2025
Status epilepticus (SE), seizures lasting beyond five minutes, is a medical emergency commonly treated with benzodiazepines which enhance GABA receptor (GABAR) conductance. Despite widespread use, benzodiazepines fail in over one-third of patients, p...
Automated inference of disease mechanisms in patient-hiPSC-derived neuronal networks.
Communications biology
May 20, 2025
Human induced pluripotent stem cells (hiPSCs)-derived neuronal networks on multi-electrode arrays (MEAs) are a powerful tool for studying neurological disorders. The electric activity patterns of these networks differ between healthy and patient-deri...
Parvalbumin neurons and cortical coding of dynamic stimuli: a network model.
Journal of neurophysiology
May 13, 2025
Cortical circuits feature both excitatory and inhibitory cells that underlie the encoding of dynamic sensory stimuli, e.g., speech, music, odors, and natural scenes. Although previous studies have shown that inhibition plays an important role in shap...
Cortical-subcortical neural networks for motor learning and storing sequence memory.
Neural networks : the official journal of the International Neural Network Society
May 7, 2025
Motor sequence learning relies on the synergistic collaboration of multiple brain regions. However, most existing models for motor sequence learning primarily focus on functional-level analyses of sequence memory mechanisms, providing limited neuroph...
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